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Author: Asem Omari Publisher: ISBN: 9783639064841 Category : Computers Languages : en Pages : 156
Book Description
Data mining is considered as one of the most powerful technologies that participates greatly in helping companies in any industry to focus on the most important information in their data warehouses. In this book, we developed a new approach that measures the effectiveness of data mining in helping retail websites designers to improve the structure of their websites during the design phase. This approach overcomes web usage mining drawbacks, improves the website design structure, and reduces maintenance efforts needed in the future. We studied the behavior of items with respect to time. We showed how association rule mining can be invested to improve the process of decision making in a retail business through exploring current and previous product buying behavior and predicting and controlling future trends and behaviors. Based on our idea that interesting frequent itemsets are mainly covered by many recent transactions, a new method to mine for interesting frequent itemsets is introduced. Finally, we introduced the TARtool which is a temporal dataset generator and an association rule miner.
Author: Asem Omari Publisher: ISBN: 9783639064841 Category : Computers Languages : en Pages : 156
Book Description
Data mining is considered as one of the most powerful technologies that participates greatly in helping companies in any industry to focus on the most important information in their data warehouses. In this book, we developed a new approach that measures the effectiveness of data mining in helping retail websites designers to improve the structure of their websites during the design phase. This approach overcomes web usage mining drawbacks, improves the website design structure, and reduces maintenance efforts needed in the future. We studied the behavior of items with respect to time. We showed how association rule mining can be invested to improve the process of decision making in a retail business through exploring current and previous product buying behavior and predicting and controlling future trends and behaviors. Based on our idea that interesting frequent itemsets are mainly covered by many recent transactions, a new method to mine for interesting frequent itemsets is introduced. Finally, we introduced the TARtool which is a temporal dataset generator and an association rule miner.
Author: Yukio Ohsawa Publisher: CRC Press ISBN: 1420070223 Category : Business & Economics Languages : en Pages : 338
Book Description
Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems.The expert contributors discuss how data mining can identify valuable consumer patterns, which aid marketers and designers in de
Author: Gordon S. Linoff Publisher: John Wiley & Sons ISBN: Category : Computers Languages : en Pages : 372
Book Description
Introduces business and technical managers to the exciting new frontier in database technology Web sites gather a lot of detailed information about customers. Unfortunately, most companies lack the means to use that information to improve their marketing and customer support functions. Considered by most experts to be the new frontier in the database and data warehousing fields, Web mining solves that problem. Coauthored by two bestselling data mining authors, Mining the Web explains, for corporate decision makers, IT managers, and database marketers, how data mining principles and techniques can be applied to various types of Web sites. More importantly, they describe techniques for using the resulting goldmine of business data to develop more effective advertising campaigns and better customer service.
Author: Gordon S. Linoff Publisher: John Wiley & Sons ISBN: 1118087453 Category : Computers Languages : en Pages : 890
Book Description
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised— is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more Provides best practices for performing data mining using simple tools such as Excel Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.
Author: Jason Burby Publisher: John Wiley & Sons ISBN: 0470181133 Category : Computers Languages : en Pages : 290
Book Description
Knowing everything you can about each click to your Web site can help you make strategic decisions regarding your business. This book is about the why, not just the how, of web analytics and the rules for developing a "culture of analysis" inside your organization. Why you should collect various types of data. Why you need a strategy. Why it must remain flexible. Why your data must generate meaningful action. The authors answer these critical questions—and many more—using their decade of experience in Web analytics.
Author: Mehmed Kantardzic Publisher: John Wiley & Sons ISBN: 1119516048 Category : Computers Languages : en Pages : 672
Book Description
Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on the topic—explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: • Explores big data and cloud computing • Examines deep learning • Includes information on convolutional neural networks (CNN) • Offers reinforcement learning • Contains semi-supervised learning and S3VM • Reviews model evaluation for unbalanced data Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.
Author: Yinghui Yang Publisher: ISBN: 9781934043066 Category : Data mining Languages : en Pages : 0
Book Description
In The Online Customer, Yinghui Yang details how data mining and marketing approaches can be used to study marketing problems. The book uses a vast dataset of web transactions from the largest internet retailers, including Amazon.com. In particular, she deftly shows how to integrate and compare statistical methods from marketing and data mining research. The book comprises two parts. The first part focuses on using behavior patterns for customer segmentation. It advances data mining theory by presenting a novel pattern-based clustering approach to customer segmentation and valuation. The second part of the book explores how free shipping impacts purchase behavior online. It illuminates the importance of shipping policies in a competitive setting. With complete documentation and methodology, this book is a valuable reference that business and Internet Studies scholars can build upon.
Author: Michael J. A. Berry Publisher: John Wiley & Sons ISBN: 0471470643 Category : Business & Economics Languages : en Pages : 671
Book Description
Many companies have invested in building large databases and data warehouses capable of storing vast amounts of information. This book offers business, sales and marketing managers a practical guide to accessing such information.
Author: Steve Jackson Publisher: Routledge ISBN: 1136441409 Category : Business & Economics Languages : en Pages : 276
Book Description
If you want to understand and get true value from your online content you need to understand how it is used by your customers. If you work with web analytics and online search optimization, this book will provide you with the tools and insight you need to do just that. Even more, it will give you an actionable plan to transform the culture of your organization into one that uses web analytics on a daily basis, focusing on real changes you can make to your department and processes to transform the way your business works. With examples from dozens of companies ranging from small businesses, to consumer sites like Amazon, to some of the largest companies in the world including Tesco and Google, Cult of Analytics demonstrates just how to apply web analytics to your business.
Author: Michael J. A. Berry Publisher: Wiley ISBN: 9780471179801 Category : Computers Languages : en Pages : 464
Book Description
Who will remain a loyal customer and who won't? What kind of marketing approach is most likely to increase sales? What can customer buying patterns tell us about improving our inventory control? What type of credit approval process will work best for us and our customers? The answers to these and all your crucial business questions lie buried in your company's information systems. This book supplies you with powerful tools for mining them. Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible. Here's your chance to learn all about: * How leading companies across North America are using data mining to beat the competition * How each tool works, and how to pick the right one for the job * Seven powerful techniques -cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets * How to prepare data sources for data mining, and how to evaluate and use the results you get Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems.
Author: Asem Omari
Author: Asem Omari
Author: Yukio Ohsawa
Author: Gordon S. Linoff
Author: Gordon S. Linoff
Author: Jason Burby
Author: Mehmed Kantardzic
Author: Yinghui Yang
Author: Michael J. A. Berry
Author: Steve Jackson
Author: Michael J. A. Berry