• Hardcover: 208 pages
• Publisher: Chapman & Hall/CRC; 1 edition (April 9, 2009)
• Language: English
• ISBN-10: 1420089641
• ISBN-13: 978-1420089646
  

The Best-Known Algorithms Currently Used in the Data MiningCommunity
Contributions from recognized leaders in the field

Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Miningprovides a description of each algorithm, discusses its impact, andreviews current and future research. Thoroughly evaluated byindependent reviewers, each chapter focuses on a particular algorithmand is written by either the original authors of the algorithm orworld-class researchers who have extensively studied the respectivealgorithm.


The book concentrates on the following important algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN,Naive Bayes, and CART. Examples illustrate how each algorithm works andhighlight its overall performance in a real-world application. The textcovers key topics—including classification, clustering, statisticallearning, association analysis, and link mining—in data mining researchand development as well as in data mining, machine learning, andartificial intelligence courses.


By naming theleading algorithms in this field, this book encourages the use of datamining techniques in a broader realm of real-world applications. Itshould inspire more data mining researchers to further explore theimpact and novel research issues of these algorithms.