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: 22149 wowmsft
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.
Views: 1330 Singapore Management University
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: 481 Nevon Projects
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: 6627 sqlserver
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: 31914 Simplilearn
สอนการวิเคราะห์ตะกร้าสินค้า โดยใช้ SQL Server Data Mining Add-in สำหรับ Excel ควบคู่กับ SQL Server Analysis Services พร้อมกับการวิเคราะห์และตีความผลลัพธ์ที่ได้
Views: 1952 prasertcbs
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: 20936 Growth Tribe
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: 21406 Nevon Projects
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: 151693 SciShow
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: 57729 Random House
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: 68921 Augmented Startups
Projects9-more than 5000 projects if you want this project click on this link www.projects9.com
Views: 213 projectsnine
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: 75173 Steve Fox
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: 7710 bgood717
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
Market Basket Analysis presentation and demo using Oracle Advanced Analytics
Views: 10621 Charles Berger
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: 678 1 Crore Projects
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: 22244 StatSlice Systems
Big data technologies such as Hadoop and NoSQL set the stage for advanced analytics on customer buying behavior using Data Mining and Machine Learning techniques. Market Basket Analysis - translate buying behavior into actionable insights such as targeted promotions, inventory placement and cross-selling. Recommendation Systems - use a variety of data points to precisely recommend additional items for purchase. Retail organizations of all sizes have a wealth of untapped data. By applying these big data tools and techniques, retailers can turn this data into actionable insights for buying behavior and a Customer 360 view. Your customers expect a modern shopping experience…are you equipped with the tools needed to provide one?
Views: 3090 MetaScale
Learn about data mining with SQL Server 2012 Analysis Services and Excel 2013, using historical gold pricing data, to predict future prices. To follow this tutorial, you should have SSAS and the Data Mining Add-in for Excel.
Views: 6622 Edward Kench
Capturing Data, Modeling Patterns, Predicting Behavior. Capturing Data, Modeling Patterns, Predicting Behavior - Based on collecting more than 20 million blog posts and news media articles per day, Professor Jure Leskovec discusses how to mine such data to capture and model temporal patterns in the news over a daily time-scale --in particular, the succession of story lines that evolve and compete for attention. He discusses models to quantify the influence of individual media sites on the popularity of news stories and algorithms for inferring hidden networks of information flow. Learn more: http://scpd.stanford.edu/
Views: 20481 stanfordonline
In this week's #DataTalk, we talked with Nick Zhu about how artificial intelligence is transforming e-commerce. Nick Qi Zhu is a seasoned software engineer with most than 17 years of professional experience. He graduated with a Bachelor degree in Economics from Shanghai University and a Master degree in Computer Science. Before founding Yroo.com, Nick has spent the last decade working as an independent consultant and later on joining ThoughtWorks as lead consultant for their Canadian practice. In his professional career, he has found his passion and specialization in distribution computing, language design, machine learning and data mining. In his spare time, he contributes to variety of opensource projects including the creation of a popular multi-dimensional data visualization library – dc.js. He is also the author of multiple books and video courses on data mining and visualization. http://www.experian.com/blogs/news/datatalk/ai-ecommerce/
Views: 822 Experian
Protect Yourself From Spies w. Identisafe and VirtualShield VPN - Click Here Now! http://hidewithjordan.com/ . . Support my work: Patreon: https://goo.gl/qipbjt PayPal: https://goo.gl/wGZbmG Website: http://www.destroyingtheillusion.com (Subscribe to the newsletter to stay in touch!) Social Media: Twitter: @Jordan_Sather_ Facebook: @destroyingtheillusion Instagram: @jaysather Vids also on: Steemit/Dtube: https://goo.gl/quLMKi BitChute: https://goo.gl/mSB8VB DTI Apparel - https://bit.ly/2pPIgeu Donate via Crypto: BitCoin: 1Ce5QjiEqUnaHzAeU8jDR1mX8BdJLgdMZe Ethereum: 0x0B096d467BB4D8B65489a3Fa224FC02Be25227CE LiteCoin: LRKx8dJjV5ZTxtayh1sc6uckTJG7e9XoQD BitcCoin Cash: 15iuUBXL8ZTiYjA8oAkBv37mfnv4jpStzz Thank YOU for watching and supporting!
Views: 8513 Destroying the Illusion
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: 7953 Steve Fox
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: 17 FOSDEM
Shopping Basket Analysis using SQL Server and Visual Server
Views: 444 Ben KIM
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: 95 Indiaretailing.com
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: 7925 Steve Fox
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: 746 Nevon Projects
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: 4833 StatSlice Systems
http://www.shoppingcartelite.com - Visit our Website http://www.shoppingcartelite.com/software-knowledge.aspx - Trial our Software http://www.igorsoshkin.com - My Blog One of the tiring jobs of managing a Shopping Cart is data mapping and data mining. Often you have to get data from the supplier and then arrange them accordingly. The arrangement of data is important for your business to optimize and manage your shopping cart. Here you can create and set your own rules of data management and accuracy. The better the data management on your shopping cart, the better is the business on your website. It also helps you to upload your products properly on your shopping cart. Check out the video for more details on how the Data Mapper on Shopping Cart Elite works.
Views: 744 Shopping Cart Elite
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
Views: 7666 เรียนอีเบย์กับครูเอ AB ebay Singapore
It's almost Saturday! I discuss the onset of Battle for Azeroth datamining and more. Reminder that this afternoon's stream is short (3-4PT) and there will be no Tuesday morning stream next week on Jan 30. If you have any questions that you'd like answered on a vlog, leave them as comments! I make these videos full time now and I couldn't do it without the Patreon support. I can't thank you guys enough for this. http://www.patreon.com/hazelnuttygames The RGB LED strip on my couch: http://amzn.to/2Bw5VUa The Dev Watercooler re: class design in BfA: https://worldofwarcraft.com/en-us/news/21366970/developer-watercooler-battle-for-azeroth-class-design-overview Browse my gaming equipment, WoW Cookbook, streaming gear, teapots and more on my Amazon Recommendations shop here: https://www.amazon.com/shop/hazelnuttygames All products featured on the above Amazon shop are things I have purchased (at full price lol) that you may have seen in my videos and streams. Shopping through that link directly supports me! Follow me on Twitter: http://www.twitter.com/HazelNuttyGames Instagram for selfies, kitty pics, and more http://instagram.com/hazelnuttylife Facebook: http://www.facebook.com/hazelnuttygames
Views: 5380 Hazelnuttygames
A quick 'trim-the-fat' banzai run through Borderlands 2 featuring Maya the Siren. Smart gameplay & strategic analysis by Major Slack. This is part of the REAL walkthrough series. Help keep REAL walkthroughs alive on Youtube. Donate to Major Slack! https://www.patreon.com/MajorSlack
Views: 1638 MajorSlackVideos
ieee data mining papers 2016 for ME,M.Tech.,M.Phil., Ph.D., B.E, B.Tech., MCA A Novel Recommendation Model Regularized with User Trust and Item Ratings Automatically Mining Facets for Queries from Their Search Results Booster in High Dimensional Data Classification Building an intrusion detection system using a filter-based feature selection algorithm Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings Crowdsourcing for Top-K Query Processing over Uncertain Data Cyberbullying Detection based on Semantic-Enhanced Marginalized Denoising Auto-Encoder Domain-Sensitive Recommendation with User-Item Subgroup Analysis Efficient Algorithms for Mining Top-K High Utility Itemsets Efficient Cache-Supported Path Planning on Roads Mining User-Aware Rare Sequential Topic Patterns in Document Streams Nearest Keyword Set Search in Multi-Dimensional Datasets Rating Prediction based on Social Sentiment from Textual Reviews Location Aware Keyword Query Suggestion Based on Document Proximity Using Hashtag Graph-based Topic Model to Connect Semantically-related Words without Co-occurrence in Microblogs Quantifying Political Leaning from Tweets, Retweets, and Retweeters Relevance Feedback Algorithms Inspired By Quantum Detection Sentiment Embeddings with Applications to Sentiment Analysis Top-Down XML Keyword Query Processing TopicSketch: Real-time Bursty Topic Detection from Twitter Top-k Dominating Queries on Incomplete Data Understanding Short Texts through Semantic Enrichment and Hashing To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: www.jpinfotech.org, Blog: www.jpinfotech.blogspot.com
Views: 2624 JPINFOTECH PROJECTS
Watch the full video here - http://pragmaticworks.com/LearningCenter/FreeTrainingWebinars/PastWebinars.aspx?ResourceId=613 Data mining is one of the key hidden gems inside of Analysis Services but has traditionally had a steep learning curve. In this session, you'll learn how to create a data mining model to predict who is the best customer for you and learn how to use other algorithms to spend your marketing model wisely. You'll also see how to use Time Series analysis for budget and forecast prediction. Finally, you'll learn how to integrate data mining into your application through SSIS or custom coding. Intelligent Data Solutions - http://pragmaticworks.com/PragmaticWorksHome.aspx
Views: 3171 Pragmatic Works
Guy Shone explains the reasons why discount brands like Aldi have risen to the top of the charts for customer satisfaction
Views: 50 Explain the Market
Data Applied (http://www.data-applied.com) revolutionizes data-driven decision making by integrating rich analytics, data mining, and information visualization capabilities - all using a zero footprint Web interface, collaboration features, and a secure XML Web API. By extracting valuable knowledge from data in domains as varied as Sales, Marketing, Engineering, Social Sciences or Non-Profit, we help organizations make better data-driven decisions and improve efficiency. See how we can help you get more from your data.
Views: 4421 Data Applied
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: 1988 ExcelB2B
** NLP Using Python: - https://www.edureka.co/python-natural-language-processing-course ** This Edureka video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and much more along with a demo on each one of the topics. The following topics covered in this video : 1. The Evolution of Human Language 2. What is Text Mining? 3. What is Natural Language Processing? 4. Applications of NLP 5. NLP Components and Demo Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV --------------------------------------------------------------------------------------------------------- Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_learning/ --------------------------------------------------------------------------------------------------------- - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed. This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience. -------------------------- Who Should go for this course ? Edureka’s NLP Training is a good fit for the below professionals: From a college student having exposure to programming to a technical architect/lead in an organisation Developers aspiring to be a ‘Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Text Mining Techniques 'Python' professionals who want to design automatic predictive models on text data "This is apt for everyone” --------------------------------- Why Learn Natural Language Processing or NLP? Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users. NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data. --------------------------------- For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Views: 51588 edureka!
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: 11326 WekaMOOC