MASTERING DATA MINING BERRY LINOFF WILEY PDF

You are currently using the site but have requested a page in the site. Would you like to change to the site? Gordon S. Linoff , Michael J. When Berry and Linoff wrote the first edition of Data Mining Techniques in the late s, 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.

Author:Shaktill Tauhn
Country:Estonia
Language:English (Spanish)
Genre:Technology
Published (Last):21 January 2012
Pages:278
PDF File Size:13.52 Mb
ePub File Size:8.80 Mb
ISBN:621-7-57035-770-4
Downloads:55652
Price:Free* [*Free Regsitration Required]
Uploader:Mezahn



When Berry and Linoff wrote the first edition of Data Mining Techniques in the late s, 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. 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.

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. Anyone interested in automating and improving decisions should have this book. It is one of the classic works on data mining and well worth the read.

I really liked the book both because it is well They have jointly authored two of the leading data mining titles in the field, Data Mining Techniques and Mastering Data Mining both from Wiley. They each have decades of experience applying data mining techniques to business problems in marketing and customer relationship management. Gordon S.

Linoff , Michael J. The leading introductory book on data mining, fully updated and revised! 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.

Data Mining Applications in Marketing and Customer. The Data Mining Process. Alternative Approaches to Cluster Detection.

Market Basket Analysis and Association Rules. Association Analysis. Building Customer Signatures. Making the Data Mean More. Too Much of a Good Thing?

Techniques for Reducing the Number of Variables. Decision Trees. Artificial Neural Networks. Measuring Distance and Similarity. Using Survival Analysis. Genetic Algorithms and Swarm Intelligence. Pattern Discovery. Automatic Cluster Detection. Text Mining.

Ad Hoc Text Mining. From Text to Numbers. Sentiment Analysis. Lessons Learned. Link Analysis.

BEYOND HAPPINESS FRANK KINSLOW PDF

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, 3rd Edition

Anyone interested in automating and improving decisions should have this book. It is one of the classic works on data mining and well worth the read. I really liked the book both because it is well Michael J.

FORBIDDEN HEAT OPAL CAREW PDF

Mastering Data Mining: The Art and Science of Customer Relationship Management

When Berry and Linoff wrote the first edition of Data Mining Techniques in the late s, 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. 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. 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. Anyone interested in automating and improving decisions should have this book. It is one of the classic works on data mining and well worth the read. I really liked the book both because it is well

Related Articles