The Top Ten Algorithms in Data Mining

ISBN-13: 9781420089646 / Angielski / Twarda / 2009 / 215 str.

Xindong Wu; Vipin Kumar

Opis

From classification and clustering to statistical learning, association analysis, and link mining, this book covers the most important topics in data mining research. It presents the ten most influential algorithms used in the data mining community today. Each chapter provides a detailed description of the algorithm, a discussion of available software implementation, advanced topics, and exercises. With a simple data set, examples illustrate how each algorithm works and highlight the overall performance of each algorithm in a real-world application. Featuring contributions from leading researchers, this reference is useful for both professionals and students.

Spis treści

C4.5. K-Means. SVM: Support Vector Machines. A priori. EM. PageRank. AdaBoost. kNN: k-Nearest Neighbors. Naïve Bayes. CART: Classification and Regression Trees. Index.

O autorze

Xindong Wu, Vipin Kumar