This set contains: 9780470084854 Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel(R) with XL Miner(TM) by Galit Shmueli, Nitin R. Patel, Peter C. Bruce and 9780470074718 Making Sense of Data by Glenn J. Myatt
This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text ...
Using this book, one can easily gain the intuition about the area, along with a solid toolset of major data mining techniques and platforms. This book can thus be gainfully used as a textbook for a college course.
Kudyba is an economic consultant. Hoptroff is an independent consultant with experience in data mining software. Annotation c. Book News, Inc., Portland, OR (booknews.com).
This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence.
The advancement of various data and information management technologies contributed to the rapid growth of the Web. One of the killer applications for the Web is E-commerce. This chapter will discuss the evolution of the Web and then ...
This is the sixth version of this successful text, and the first using Python.
Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT ...
The book bridges the previously specialized field of data mining with the new technologies and methods that are quickly making it an important mainstream tool for companies of all sizes.
The book is a perfect fit for its intended audience." – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization "…extremely well organized, clearly ...
In addition, the book presents: • A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools • Illustrations of how to use the outlined concepts in real-world situations • Readily ...