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Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide nece...

You might think that you need a formal education to learn anything worth knowing-or perhaps you think a high school education is enough to get by.The truth is that learning is a lifelong process, and you don't need to go to college to find out things that will make big differences in your life. Too many people, however, hit a ceiling early on in life and stop trying to improve themselves.Michael Tan encourages you to look at life with a new mi...

This book examines corporate governance in city commercial banks in China. By the end of 2008, there were 136 such banks, 13 of which had foreign partners, and this book clearly demonstrates the positive effect of these foreign partnerships on corporate governance practices, in addition to financial performance. With evidence from extensive interviews with 10 city commercial banks in China, Michael Tan explores the different models of corporat...

Explains the social and cultural contexts of usig, pasma, kulam, and other folk illnesses in the Philippines.

Welcome to the Second International Conference on Mobile Data Management (MDM2001). The conference serves as a forum for the exchange of technical ideas and research results in the areas of mobility and database management. This year, we have a very exciting program for MDM2001. Many quality papers were submitted to the conference. All of the submitted papers were - viewed by at least three PC members. Due to the limitations of the program sch...

Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide nece...