Introduction to data mining (2nd ed.).

摘要

The first edition of this book, published in 2006 [1], was probably the best introductory textbook on data mining available. A dozen years later, the field has evolved to become mainstream under the commercial denomination of "big data," or its more academic appellative "data science." Due to the maturity of the field, this new edition can be considered as only a minor update to the already outstanding original book. The book starts with a chapter on the scope, motivation, origin, and key tasks addressed by data mining techniques. A second chapter discusses data as the necessary raw material for data mining: the different kinds of attributes, quality issues, preprocessing techniques, and the measures of similarity (or dissimilarity) often used within a number of data mining algorithms. The introductory chapters cover roughly the first 100 pages of the book, and their sections are structured in exactly the same way they were 12 years ago.