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Shopping Basket Analysis with Excel 2007 and SQL Server Data Mining
 
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Watch this short tutorial video to learn how to do basket analysis with Excel 2007 and the SQL Server Data Mining add-in. You can download the SQL Server Data Mining add-in here http://www.microsoft.com/sqlserver/2008/en/us/data-mining-addins.aspx Get more information at http://blogs.msdn.com/bi
Views: 21848 wowmsft
Data Mining: How You're Revealing More Than You Think
 
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Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can even predict massacres in the Congo. Hosted by: Stefan Chin Head to https://scishowfinds.com/ for hand selected artifacts of the universe! ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, Nicholas Smith, D.A. Noe, سلطان الخليفي, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Patrick D. Ashmore, Tim Curwick, charles george, Kevin Bealer, Chris Peters ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: https://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/1230 https://www.theregister.co.uk/2006/08/15/beer_diapers/ https://www.theatlantic.com/technology/archive/2012/04/everything-you-wanted-to-know-about-data-mining-but-were-afraid-to-ask/255388/ https://www.economist.com/node/15557465 https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/ https://qz.com/584287/data-scientists-keep-forgetting-the-one-rule-every-researcher-should-know-by-heart/ https://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853 http://dml.cs.byu.edu/~cgc/docs/mldm_tools/Reading/DMSuccessStories.html http://content.time.com/time/magazine/article/0,9171,2058205,00.html https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all&_r=0 https://www2.deloitte.com/content/dam/Deloitte/de/Documents/deloitte-analytics/Deloitte_Predictive-Maintenance_PositionPaper.pdf https://www.cs.helsinki.fi/u/htoivone/pubs/advances.pdf http://cecs.louisville.edu/datamining/PDF/0471228524.pdf https://bits.blogs.nytimes.com/2012/03/28/bizarre-insights-from-big-data https://scholar.harvard.edu/files/todd_rogers/files/political_campaigns_and_big_data_0.pdf https://insights.spotify.com/us/2015/09/30/50-strangest-genre-names/ https://www.theguardian.com/news/2005/jan/12/food.foodanddrink1 https://adexchanger.com/data-exchanges/real-world-data-science-how-ebay-and-placed-put-theory-into-practice/ https://www.theverge.com/2015/9/30/9416579/spotify-discover-weekly-online-music-curation-interview http://blog.galvanize.com/spotify-discover-weekly-data-science/ Audio Source: https://freesound.org/people/makosan/sounds/135191/ Image Source: https://commons.wikimedia.org/wiki/File:Swiss_average.png
Views: 147013 SciShow
SSAS: Shopping Basket Analysis Tool - Data Mining Add-In
 
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SQL Server Analysis Services (SSAS): Table Analysis Tools Add-In for Microsoft Excel Video transcript here: http://msdn.microsoft.com/en-us/library/dd299410.aspx
Views: 6567 sqlserver
Analysis and prediction of Ε customers' behavior by mining clickstream data
 
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Analysis and prediction of Ε-customers' behavior by mining clickstream data Abstract: In a regular retail shop the behavior of customers may yield a lot to the shop assistant. However, when it comes to online shopping it is not possible to see and analyze customer behavior such as facial mimics, products they check or touch etc. In this case, clickstreams or the mouse movements of e-customers may provide some hints about their buying behavior. In this study, we have presented a model to analyze clickstreams of e-customers and extract information and make predictions about their shopping behavior on a digital market place. After collecting data from an e-commerce market in Turkey, we performed a data mining application and extracted online customers' behavior patterns about buying or not. The model we present predicts whether customers will or will not buy their items added to shopping baskets on a digital market place. For the analysis, decision tree and multi-layer neural network prediction data mining models have been used. Findings have been discussed in the conclusion
Views: 646 1 Crore Projects
สอน Data Mining ด้วย Excel: การวิเคราะห์ตะกร้าสินค้า (Shopping Basket Analysis)
 
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สอนการวิเคราะห์ตะกร้าสินค้า โดยใช้ SQL Server Data Mining Add-in สำหรับ Excel ควบคู่กับ SQL Server Analysis Services พร้อมกับการวิเคราะห์และตีความผลลัพธ์ที่ได้
Views: 1845 prasertcbs
Data Mining Addin For Excel
 
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Data Mining Addin For Excel using External Server
Views: 996 IntroToIS BYU
Data Mining for Sales Prediction in Tourism Industry
 
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This video shows the demonstration of “Data Mining for Sales Prediction in Tourism Industry”. The app will provide you the forecast of sales in tourism industry. The app is based on the method called data mining. The application uses the user review to predict the sales. The reviews can be fed by uploading the excel sheets or the data of comments given by the users. Then a bar graph is created to predict the sales, using the submitted data of reviews and as well as the number of bookings. For more information on this project, visit http://nevonprojects.com/data-mining-for-sales-prediction-in-tourism-industry/ We provide Product Delivery and Customer Support Worldwide, so enter your country details on the website for the pricing details. CHECK OUT COLLECTION OF SOME OF OUR OTHER ““PHP Programming Language based Projects” 1. Online Bakery Shop System Php: https://youtu.be/GCbUHCP68D8 2. Online Herbs Shopping Php: https://youtu.be/PR5bGCtFxgA 3. Matrimonial Portal Project Php: https://youtu.be/q-WoDDC8dKk 4. Sentiment Based Movie Rating System Php: https://youtu.be/Nn-GyDvzKqE 5. Online Diagnostic Lab Reporting System Php: https://youtu.be/z-t5j2x4V0U Music - Landras Dream by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/ To subscribe this channel click the link https://www.youtube.com/channel/UCisTN-GbgzzLRXftgnCJGKg?sub_confirmation=1 “Nevon Express” is our other channel, watch it at https://www.youtube.com/channel/UCJbZbcQI5PNDvP4TSZUkHRQ
Views: 634 Nevon Projects
SMU PhD Research: Using Data Mining to Enhance Consumers’ Online Shopping Experience.
 
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Have a glimpse of the type of research undertaken by Singapore Management University’s PhD in Information Systems candidate. With the guidance and support of his supervisor, Assistant Professor Hady W. Lauw, Maksim manages to navigate his way around obstacles to create a software that could potentially simplify and enhance consumers’ online shopping experience. This software is part of the research that Maksim is working on, and it could possibly create a bigger impact when applied within a larger application. Maksim’s dedication and commitment in his research and work in the area of “Data Mining and Artificial Intelligence” has earned him the SMU Presidential Doctoral Fellowship. His research papers have also been selected and published in top-tier publications. For more information, please visit https://smu.sg/phd-informationsystems.
Detecting Frequents Items sets an Shopping Data Sets Using Data Mining
 
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Detection of sensitive items in market basket database using association rule mining for privacy preserving Abstract: Data mining is an essential technology to extract patterns or knowledge from large repositories of data. Association rules in market basket database represent the shopping behavior of customers. The association information may reveal trade secrets. It must be hidden before publishing. Association rule hiding in privacy preserving data mining hides sensitive rules containing sensitive items. In this paper, a new method is proposed to detect the sensitive items for hiding sensitive association rules. This proposed method finds the frequent item sets and generates the association rules. It employs the concept of representative association rules to detect sensitive items
Views: 28 1 Crore Projects
Data Mining using the Excel Data Mining Addin
 
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The Excel Data Mining Addin can be used to build predictive models such as Decisions Trees within Excel. The Excel Data Mining Addin sends data to SQL Server Analysis Services (SSAS) where the models are built. The completed model is then rendered within Excel. I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 74369 Steve Fox
AI for Marketing & Growth #1 - Predictive Analytics in Marketing
 
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AI for Marketing & Growth #1 - Predictive Analytics in Marketing Download our list of the world's best AI Newsletters 👉https://hubs.ly/H0dL7N60 Welcome to our brand new AI for Marketing & Growth series in which we’ll get you up to speed on Predictive Analytics in Marketing! This series you-must-watch-this-every-two-weeks sort of series or you’re gonna get left behind.. Predictive analytics in marketing is a form of data mining that uses machine learning and statistical modeling to predict the future. Based on historical data. Applications in action are all around us already. For example, If your bank notifies you of suspicious activity on your bank card, it is likely that a statistical model was used to predict your future behavior based on your past transactions. Serious deviations from this pattern are flagged as suspicious. And that’s when you get the notification. So why should marketers care? Marketers can use it to help optimise conversions for their funnels by forecasting the best way to move leads down the different stages, turning them into qualified prospects and eventually converting them into paying customers. Now, if you can predict your customers’ behavior along the funnel, you can also think of messages to best influence that behavior and reach your customer’s highest potential value. This is super-intelligence for marketers! Imagine if you could not only determine whether a lead is a good fit for your product but also which are most promising. This’ll allow you to focus your team’s efforts on leads with the highest ROI. Which will also imply a shift in mindset. Going from quantity metrics, or how many leads you can attract, to quality metrics, or how many good leads you can engage. You can now easily predict your OMTM or KPIs in real-time and finally push vanity metrics aside. For example, based on my location, age, past purchases, and gender, how likely are you to buy eggs I if you just added milk to your basket? A supermarket can use this information to automatically recommend products to you A financial services provider can use thousands of data points created by your online behaviour to decide which credit card to offer you, and when. A fashion retailer can use your data to decide which shoes to recommend as your next purchase, based on the jacket you just bought. Sure, businesses can improve their conversion rates, but the implications are much bigger than that. Predictive analytics allows companies to set pricing strategies based on consumer expectations and competitor benchmarks. Retailers can predict demand, and therefore make sure they have the right level of stock for each of their products. The evidence of this revolution is already around us. Every time we type a search query into Google, Facebook or Amazon we’re feeding data into the machine. The machine thrives on data, growing ever more intelligent. To leverage the potential of artificial intelligence and predictive analytics, there are four elements that organizations need to put into place. 1. The right questions 2. The right data 3. The right technology 4. The right people Ok.. let’s look at some use cases of businesses that are already leveraging predictive analytics. Other topics discussed: Ai analytics case study artificial intelligence big data deep learning demand forecasting forecasting sales machine learning predictive analytics in marketing data mining statistical modelling predict the future historical data AI Marketing machine learning marketing machine learning in marketing artificial intelligence in marketing artificial intelligence AI Machine learning ------------------------------------------------------- Amsterdam bound? Want to make AI your secret weapon? Join our A.I. for Marketing and growth Course! A 2-day course in Amsterdam. No previous skills or coding required! https://hubs.ly/H0dkN4W0 OR Check out our 2-day intensive, no-bullshit, skills and knowledge Growth Hacking Crash Course: https://hubs.ly/H0dkN4W0 OR our 6-Week Growth Hacking Evening Course: https://hubs.ly/H0dkN4W0 OR Our In-House Training Programs: https://hubs.ly/H0dkN4W0 OR The world’s only Growth & A.I. Traineeship https://hubs.ly/H0dkN4W0 Make sure to check out our website to learn more about us and for more goodies: https://hubs.ly/H0dkN4W0 London Bound? Join our 2-day intensive, no-bullshit, skills and knowledge Growth Marketing Course: https://hubs.ly/H0dkN4W0 ALSO! Connect with Growth Tribe on social media and stay tuned for nuggets of wisdom, updates and more: Facebook: https://www.facebook.com/GrowthTribeIO/ LinkedIn: https://www.linkedin.com/company/growth-tribe Twitter: https://twitter.com/GrowthTribe/ Instagram: https://www.instagram.com/growthtribe/ Snapchat: growthtribe Video URL: https://youtu.be/uk82DHcU7z8
Views: 18083 Growth Tribe
Data Mining - Frequent Itemsets, Association Rules
 
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Shopping Basket Analysis using SQL Server and Visual Server
Views: 391 Ben KIM
Data Mining in the Retail Industry
 
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This is a powerpoint/video compilation I made for a project in my Systems Engineering class. It is a tutorial of Data Mining in the Retail Industry and includes a trip I took to Harris Teeter to prove the importance of Market Basket Analysis in the real world.
Views: 7601 bgood717
Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning
 
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Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning ►FREE YOLO GIFT - http://augmentedstartups.info/yolofreegiftsp ►KERAS Course - https://www.udemy.com/machine-learning-fun-and-easy-using-python-and-keras/?couponCode=YOUTUBE_ML Limited Time - Discount Coupon Apriori Algorithm The Apriori algorithm is a classical algorithm in data mining that we can use for these sorts of applications (i.e. recommender engines). So It is used for mining frequent item sets and relevant association rules. It is devised to operate on a database containing a lot of transactions, for instance, items brought by customers in a store. It is very important for effective Market Basket Analysis and it helps the customers in purchasing their items with more ease which increases the sales of the markets. It has also been used in the field of healthcare for the detection of adverse drug reactions. A key concept in Apriori algorithm is that it assumes that: 1. All subsets of a frequent item sets must be frequent 2. Similarly, for any infrequent item set, all its supersets must be infrequent too. ------------------------------------------------------------ Support us on Patreon ►AugmentedStartups.info/Patreon Chat to us on Discord ►AugmentedStartups.info/discord Interact with us on Facebook ►AugmentedStartups.info/Facebook Check my latest work on Instagram ►AugmentedStartups.info/instagram Learn Advanced Tutorials on Udemy ►AugmentedStartups.info/udemy ------------------------------------------------------------ To learn more on Artificial Intelligence, Augmented Reality IoT, Deep Learning FPGAs, Arduinos, PCB Design and Image Processing then check out http://augmentedstartups.info/home Please Like and Subscribe for more videos :)
Views: 57277 Augmented Startups
Excel at Data Mining - Your First Predictions
 
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In this video, Billy Decker of StatSlice Systems shows you how to start data mining in 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will create a set of predictions for new customers using a Logistic Regression models based upon old customers. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
Views: 21798 StatSlice Systems
How Target uses habits in its stores (from The Power of Habit by Charles Duhigg)
 
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The Power of Habit goes inside Procter & Gamble, Target superstores, Rick Warren's Saddleback Church, NFL locker rooms, and the nation's largest hospitals to see how implementing so-called keystone habits can earn billions and mean the difference between failure and success, life and death. http://charlesduhigg.com/
Views: 55822 Random House
In-Database Data Mining for Retail Market Basket Analysis Using Oracle Advanced Analytics
 
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Market Basket Analysis presentation and demo using Oracle Advanced Analytics
Views: 10508 Charles Berger
Study On Intelligent E-Shopping System Based On Data Mining
 
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Projects9-more than 5000 projects if you want this project click on this link www.projects9.com
Views: 213 projectsnine
Using Data Mining To Improve Consumer Retailer Connectivity Software Project
 
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This video shows the demonstration of “Using Data Mining To Improve Consumer Retailer Connectivity”. This system helps to build bridge between consumer and retailer. System will gather data from the customer behavior pattern and is supplied to the retailers, so that retailers will able to know the new patterns and trends For more information on this project https://nevonprojects.com/using-data-mining-to-improve-consumer-retailer-connectivity/ Many consumers prefer online shopping. Day-to-day busy schedule made many consumers to visit online e-commerce websites for shopping. This saves time and cost of the consumer. With the growth of the e-commerce websites retailers tend to fail to attract more and more consumers. Consumers no longer feel difference between e-shopping and offline shopping. We proposed a system of connecting the consumer and the retailer. This system creates a bridge between consumer and retailer. We had implemented an effective data mining algorithm to analyze new patterns and trends. This system will gather data from the customer behavior pattern and is supplied to the retailers, so that retailers will able to know the new patterns and trends. With these information retailer can approach targeted customer and can constantly interact with those consumers that retailer is exactly looking for. This system helps retailer to keep constant connectivity among the retailers and the consumers. In this system we had used data mining algorithm that helps the retailer to discover new patterns and trends. The system updates the retailers with new trends and patterns .This system helps to improve the sales and business of the retailer. System will also help the retailer to know about the updated price of the product as well as new trend in market. We provide Product Delivery and Customer Support Worldwide, so enter your country details on the website for the pricing details. CHECK OUT COLLECTION OF SOME OF OUR OTHER “Dot Net based projects”. 1. Higher Education Access Prediction Using Data Mining https://youtu.be/4ta-Y8KyjOE 2. Online User Behavior Analysis Using Graphical Model https://youtu.be/QELMyMQseA0 3. Loss Prevention in Stock Market https://youtu.be/yFMF7qtQqMo 4. Pocket Certificates Using Double Encryption https://youtu.be/EnBuWfBnzNM 5. Census Measuring & Management System https://youtu.be/PzOC25-YQ1s To subscribe this channel click the link https://www.youtube.com/channel/UCisTN-GbgzzLRXftgnCJGKg?sub_confirmation=1 “Nevon Express” is our other channel, watch it at https://www.youtube.com/channel/UCJbZbcQI5PNDvP4TSZUkHRQ
Views: 376 Nevon Projects
Improving the customer relationship management Using Data Mining
 
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Reach Us CONTACT US 1 Crore Projects 2017 Java IEEE Projects Door No: 68 & 70 ,Ground Floor, No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai, Tamil Nadu, INDIA - 600 026 Email id: [email protected] website:1croreprojects.com Phone : +91 97518 00789 / 7708150152
Views: 302 1 Crore Projects
Microsoft Data Mining Demo -- Scenario Analysis
 
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Microsoft Data Mining Demo -- Scenario Analysis with SQL Server 2008 and Excel 2007
Views: 16103 MarkTabNet
Google Analytics Data Mining with R (includes 3 Real Applications)
 
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R is already a Swiss army knife for data analysis largely due its 6000 libraries but until now it lacked an interface to the Google Analytics API. The release of RGoogleAnalytics library solves this problem. What this means is that digital analysts can now fully use the analytical capabilities of R to fully explore their Google Analytics Data. In this webinar, Andy Granowitz, ‎Developer Advocate (Google Analytics) & Kushan Shah, Contributor & maintainer of RGoogleAnalytics Library will show you how to use R for Google Analytics data mining & generate some great insights. Useful Resources:http://bit.ly/r-googleanalytics-resources
Views: 29815 Tatvic Analytics
From Shopping Baskets to Structural Patterns
 
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by André Petermann At: FOSDEM 2017 Mining frequent itemsets is an established approach to data mining andsupported by productive data mining solutions. For example, one can getinsights about buyers’ behavior by analyzing frequent co-occurrences ofproducts in shopping baskets. In contrast, frequent subgraph mining (FSM), thegraphy variant of frequent itemset mining, not only evaluates entity co-occurrence but also relationships among entities, i.e., structural patterns.However, existing implementations are all research prototypes which aretailored to textbook problems. In our talk, we want to give an introduction to the FSM problem on distributedcollections of graphs and our implementation in Gradoop, an open source systemfor scalable graph analytics based on Apache Flink. In contrast to otheriterative graph algorithms like page rank, in FSM the search space is droppedbut intermediate results of iterations are the desired result. Here, the majortechnical challenge is the respective usage of Flinks’ distributed iterations. We will explain different implementation approaches, discuss implementationdetails which influence scalability and show benchmark results. Intended audience and goal of the talk: Developers and analysts, interested inrelationship-centric data mining techniques Desired length of your time slot: 30min Links to background information on the given talk for the hungry andimpatient: http://www.gradoop.com http://flink.apache.org/ Links to your previous talks, code snippets or repositories: http://dbs.uni-leipzig.de/file/Graph _Mining_ for _Complex_ Data _Analytics.pdf GitHub:http://www.gradoop.com/ Graph Data Model: http://dbs.uni-leipzig.de/file/EPGM.pdf Fosdem 2016:https://fosdem.org/2016/schedule/event/graph_ processing _gradoop_flink_analytics Room: H.2214 Scheduled start: 2017-02-04 13:30:00
Views: 16 FOSDEM
Creating Association Rules using the SQL Server Data Mining Addin for Excel
 
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Association Rules are a quick and simple technique to identify groupings of products that are often sold together. This makes them useful for identifying products that could be grouped together in cross-sell campaigns. Association rules are also known as Market Basket Analysis, as they used to analyse a virtual shopping baskets. In this tutorial I will demonstrate how to create association rules with the Excel data mining addin that allows you to leverage the predictive modelling algorithms within SQL Server Analysis Services. Sample files that allow you follow along with the tutorial are available from my website at http://www.analyticsinaction.com/associationrules/ I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 7795 Steve Fox
Patch 1.13 "confirmed" via data mining! [Classic World of Warcraft]
 
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Check out our sponsor at http://www.voodoo-realm.com Wowhead: https://www.wowhead.com/news=288097/world-of-warcraft-classic-patch-1-13-build-28211 MMO-Champion: https://www.mmo-champion.com/content/8092-World-of-Warcraft-Classic-Patch-1-13-0-Build-28211 We all speculated that patch 1.13 would be a thing, and it looks like it's happening! Classic UI/Addons: https://youtu.be/6VoRq65-gjI Classic WoW Dungeon Quest Cheat Sheet: https://goo.gl/FMw9XM ○○○ Support me while shopping at Amazon! ○○○ Amazon US: http://amzn.to/2qBLS23 Microphone: http://amzn.to/2asAEUA Video editing software: http://amzn.to/2ANxZpO Video/audio recording software: https://obsproject.com/ Production Music courtesy of Epidemic Sound: http://www.epidemicsound.com
Views: 6938 SoupaSoka
Code | Market Basket Analysis | Association Rules | R Programming
 
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In my previous video I talked about the theory of Market basket analysis or association rules and in this video I have explained the code that you need to write to achieve the market basket analysis functionality in R. This will help you to develop your own market basket analysis or association rules application to mine the important rules which are present in the data.
Views: 15350 Data Science Tutorials
Live Special : Data mining สินค้าไทยทำกำไรบน ebay#รุ่น1
 
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Congratulations 🎉 ABebay Family❤️น้องปุ๊บปั๊บ Top-rated Seller PLUS น้องอายุ 24 ปี ประสบความสำเร็จ ในการทำebay ได้อย่างไร เรามารับฟังเรื่องราวดีๆ ที่เป็นแรงบันดาลใจ พร้อมเทคนิคการทำ Data mining สินค้าไทยทำกำไรบนebay 4 โมงนะคะ . ป.ล.วันนี้ทั้งตัวพี่เอขายบนebay ได้ราคาเท่าไหร่⁉️ ✔️คอร์สเรียน ebay สำหรับผู้เริ่มต้น http://www.abebay.com/7day/ ---------------------------------------------------- ✔️คอร์สเรียนอีเบย์ออนไลน์ Online Course SkillLane 🛎คอร์สเรียน ebay ไม่ยาก! สร้างรายได้จากที่บ้าน https://www.skilllane.com/courses/ab-ebay . 🛎คอร์สเรียน Data Mining สินค้าไทย ทำกำไรบน ebay https://www.skilllane.com/courses/data-mining ได้รับกระเป๋า Shopping Bag 1 ใบ พร้อมจัดส่งฟรี!! ถึงบ้าน คุณได้รับสิทธิ์เรียน Data mining 1 วันฟรี!! พร้อมเบรคและอาหารกลางวัน ฟรี!! **ได้เข้ากลุ่ม Line Data mining ในการดูแลให้คำปรึกษาและข่าวสารจากอีเบย์ ----------------------------------------- สนใจเรียนอีเบย์ กับครูเอ ABebay เข้าใจง่าย ลงมือทำได้จริง สำเร็จชัวร์ ติดต่อผ่าน inbox page https://www.facebook.com/ABebayThailand/messages/ หรือ Line : @ABebay เลือกเพียง 1 ช่องทางเท่านั้น!! ในการติดต่อ ขอบคุณมากคะ #ABebayFamily #ครอบครัวความสำเร็จกับอีเบย์ #100TopRatedSellerEbay2017 #สินค้าไทยขายดีทั่วโลกบนebay #เรียนอีเบย์กับครูเอABebayเดือนเมษายน #เรียนebayกับครูเอเข้าใจง่ายลงมือทำได้จริงสำเร็จชัวร์
Detecting Phishing Websites using Machine Learning Technique
 
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Get this project at http://nevonprojects.com/detecting-phishing-websites-using-machine-learning/ In order to detect and predict phishing website, we proposed an intelligent, flexible and effective system that is based on using classification Data mining algorithm
Views: 12195 Nevon Projects
Last Minute Tutorials | Market basket analysis | Support and Confidence
 
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Please feel free to get in touch with me :) If it helped you, please like my facebook page and don't forget to subscribe to Last Minute Tutorials. Thaaank Youuu. Facebook: https://www.facebook.com/Last-Minute-Tutorials-862868223868621/ Website: www.lmtutorials.com For any queries or suggestions, kindly mail at: [email protected]
Views: 34345 Last Minute Tutorials
ABebay บรรยากาศวันที่ 1 ตลาดพลอยจันทบุรี คอร์สเรียน Data mining อัญมณีจันทบุรี ทำกำไรบน ebay
 
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ABebay Family สัญจร (Part2) ตลาดพลอย ของดีเมืองจันท์ ---------------------------------------------- ✔️คอร์สเรียนอีเบย์ออนไลน์ Online Course SkillLane 🛎คอร์สเรียน ebay ไม่ยาก! สร้างรายได้จากที่บ้าน https://www.skilllane.com/courses/ab-ebay . 🛎คอร์สเรียน Data Mining สินค้าไทย ทำกำไรบน ebay https://www.skilllane.com/courses/data-mining ได้รับกระเป๋า Shopping Bag 1 ใบ พร้อมจัดส่งฟรี!! ถึงบ้าน คุณได้รับสิทธิ์เรียน Data mining 1 วันฟรี!! พร้อมเบรคและอาหารกลางวัน ฟรี!! **ได้เข้ากลุ่ม Line Data mining ในการดูแลให้คำปรึกษาและข่าวสารจากอีเบย์ ----------------------------------------- สนใจเรียนอีเบย์ กับครูเอ ABebay เข้าใจง่าย ลงมือทำได้จริง สำเร็จชัวร์ ติดต่อผ่าน inbox page https://www.facebook.com/ABebayThailand/messages/ หรือ Line : @ABebay เลือกเพียง 1 ช่องทางเท่านั้น!! ในการติดต่อ ขอบคุณมากคะ #ABebayFamily #ครอบครัวความสำเร็จกับอีเบย์ #100TopRatedSellerEbay2017 #DataMiningอัญมณีจันทบุรีทำกำไรบนebay
Market Basket Analysis | Association Rules | R Programming | Data Prediction Algorithm
 
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In this video I've talked about the theory related to market basket analysis. Where I explained about its background and the components like support, confidence and lift. In the next video I'll talk about the code to achieve the association rules by applying market basket analysis in R.
Views: 10796 Data Science Tutorials
How Big Data Is Used In Amazon Recommendation Systems | Big Data Application & Example | Simplilearn
 
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This Big Data Video will help you understand how Amazon is using Big Data is ued in their recommendation syatems. You will understand the importance of Big Data using case study. Recommendation systems have impacted or even redefined our lives in many ways. One example of this impact is how our online shopping experience is being redefined. As we browse through products, the Recommendation system offer recommendations of products we might be interested in. Regardless of the perspectives, business or consumer, Recommendation systems have been immensely beneficial. And big data is the driving force behind Recommendation systems. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 29611 Simplilearn
How Do I: Setup and Configure the Excel Data-Mining Add-in?
 
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This video shows how configure to setup the Data Mining Client For Excel addin. This addin is part of the Microsoft SQL Server 2008 Data Mining Add-ins for Microsoft Office 2007 download available at: http://www.microsoft.com/DOWNLOADS/details.aspx?familyid=896A493A-2502-4795-94AE-E00632BA6DE7.
Views: 34255 DeveloperVideos
Applying Data Mining Models with  SQL Server Integration Services (SSIS)
 
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SQL Server Integration Services (SSIS) can be used to apply Data Mining predictions. This tutorial demonstrates how to use the SSIS "Data Mining Query" to predictive the risk of having a vehicle using profile information stored in a SQL Server table. I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 7753 Steve Fox
Data Mining with Weka (5.3: Data mining and ethics)
 
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Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 3: Data mining and ethics http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/5DW24X https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 11107 WekaMOOC
Excel at Data Mining - Time Series Forecasting
 
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In this video, Billy Decker of StatSlice Systems shows you how to start data mining in 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will create a forecasting model that will predict the trend of bikes sales in different regions. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
Views: 4767 StatSlice Systems
MSBI - SSAS - Data Mining - Association Rules
 
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MSBI - SSAS - Data Mining - Association Rules
Views: 579 M R Dhandhukia
Movie Success Prediction Using Data Mining Project
 
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Get the project at http://nevonprojects.com/movie-success-prediction-using-data-mining/ The system predicts the success of a movie by mining past movie success data through a prediction methodology and data mining algorithms
Views: 20405 Nevon Projects
Data Mining  How To Transform Data From Multiple Touchpoints Into Customer Insights Which You Can R
 
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Retail data mining can help identify customer behaviour, discover customer shopping patterns and trends, improve the quality of customer service, achieve better customer retention and satisfaction, enhance goods consumption ratios design more effective goods transportation and distribution policies and reduce the cost of business. Learn from real life, practical guidance and examples about how it can help you in forecasting and planning and help your business grow.
Views: 94 Indiaretailing.com
Predicting Stock Prices with SSAS Mining Models
 
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Predictive analytics and supervised machine learning with SSAS and C#. In this demo I use MS Time Series Mining structure within SSAS to predict stock prices using the Auto Regressive Integrated Moving Average (ARIMA) method. This is a bit of supervised machine learning with analysis services. I then query the mining model with SSMS and run a prediction query from a C# applications
Views: 3242 sackdeezle
Introduction to Data Mining  (3/3)
 
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http://www.creativecommit.com. This video gives a brief demo of the various data mining techniques. The demo mainly uses SQL server 2008, BIDS 2008 and Excel for data mining
Views: 14636 creativecommIT
Using datamining with PowerPivot in Excel
 
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In this screencast we see how to use the excel 2007 data mining add-ins on PowerPivot data in Excel 2010. For more information see http://business-intelligence.kdejonge.net.
Views: 18655 kjonge
Excel 2013 - Data Mining - Analyze Key Influencers
 
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Apresentação de como usar a ferramenta de mineração de dados do Excel 2013. Analise de Principais Influenciadores Para uma tabela com dados de compra de bicicletas, este video mostra como usar a ferramenta de mineração de dados para descobrir principais perfis que compraram mediante variaveis declaradas ( estado civil, genero, região, etc). Para mais acesse: http://excelb2b.com/
Views: 1964 ExcelB2B
13 GPUs in ONE PC? – Mining Adventure Part 2
 
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We finally rectify the mistakes made in Mining Adventure Part 1, and show you guys how you can build a rig to mine cryptocurrencies like Monero, and Zcash. For your unrestricted 30 days free trial, go to https://www.freshbooks.com/techtips and enter in “Linus Tech Tips” in the how you heard about us section. Use offer code TECHTIPS to get 20% off your next Mack Weldon order at http://geni.us/dvGYl Buy GPUs: Amazon: http://geni.us/PIOuR Newegg: http://geni.us/iWzje Buy Risers: Amazon: http://geni.us/sKOWn Newegg: http://geni.us/M5Xd1M Discuss on the forum: https://linustechtips.com/main/topic/888119-13-gpus-in-one-pc-%E2%80%93-mining-adventure-part-2/ Measurements for the 2 "mining frames" we showed off: https://pastebin.com/HghGtCD3 Our Affiliates, Referral Programs, and Sponsors: https://linustechtips.com/main/topic/75969-linus-tech-tips-affiliates-referral-programs-and-sponsors Linus Tech Tips merchandise at http://www.designbyhumans.com/shop/LinusTechTips/ Linus Tech Tips posters at http://crowdmade.com/linustechtips Our production gear: http://geni.us/cvOS Twitter - https://twitter.com/linustech Facebook - http://www.facebook.com/LinusTech Instagram - https://www.instagram.com/linustech Twitch - https://www.twitch.tv/linustech Intro Screen Music Credit: Title: Laszlo - Supernova Video Link: https://www.youtube.com/watch?v=PKfxmFU3lWY iTunes Download Link: https://itunes.apple.com/us/album/supernova/id936805712 Artist Link: https://soundcloud.com/laszlomusic Outro Screen Music Credit: Approaching Nirvana - Sugar High http://www.youtube.com/approachingnirvana Sound effects provided by http://www.freesfx.co.uk/sfx/
Views: 2304647 Linus Tech Tips
Microsoft Data Mining Demo -- Forecasting
 
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Microsoft Data Mining Demo -- Forecasting with SQL Server 2008 and Excel 2007
Views: 8211 MarkTabNet
Buying, Selling and SAFELY STORING Bitcoin?! – Mining Adventure Part 4
 
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Get iFixit's Pro Tech Toolkit now for only $59.95 USD at http://ifixit.com/linus Check out the EK-Modular Liquid Cooling Phoenix lineup at http://geni.us/Q87Aq4E Mining isn't the only way to make or LOSE a lot of money with crypto. Buy ASICs on Amazon: http://geni.us/97mrAc Buy GPUs: Amazon: http://geni.us/PIOuR Newegg: http://geni.us/iWzje Buy Risers: Amazon: http://geni.us/sKOWn Newegg: http://geni.us/M5Xd1M Discuss on the forum: https://linustechtips.com/main/topic/900521-buying-selling-and-safely-storing-bitcoin-%E2%80%93-mining-adventure-part-4/ Our Affiliates, Referral Programs, and Sponsors: https://linustechtips.com/main/topic/... Linus Tech Tips merchandise at http://www.designbyhumans.com/shop/Li... Linus Tech Tips posters at http://crowdmade.com/linustechtips Our production gear: http://geni.us/cvOS Get LTX 2018 tickets at https://www.ltxexpo.com/ Twitter - https://twitter.com/linustech Facebook - http://www.facebook.com/LinusTech Instagram - https://www.instagram.com/linustech Twitch - https://www.twitch.tv/linustech Intro Screen Music Credit: Title: Laszlo - Supernova Video Link: https://www.youtube.com/watch?v=PKfxm... iTunes Download Link: https://itunes.apple.com/us/album/sup... Artist Link: https://soundcloud.com/laszlomusic Outro Screen Music Credit: Approaching Nirvana - Sugar High http://www.youtube.com/approachingnir... Sound effects provided by http://www.freesfx.co.uk/sfx/
Views: 501719 Linus Tech Tips
Analyzing Big Data in less time with Google BigQuery
 
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Most experienced data analysts and programmers already have the skills to get started. BigQuery is fully managed and lets you search through terabytes of data in seconds. It’s also cost effective: you can store gigabytes, terabytes, or even petabytes of data with no upfront payment, no administrative costs, and no licensing fees. In this webinar, we will: - Build several highly-effective analytics solutions with Google BigQuery - Provide a clear road map of BigQuery capabilities - Explain how to quickly find answers and examples online - Share how to best evaluate BigQuery for your use cases - Answer your questions about BigQuery
Views: 71059 Google Cloud Platform