2009 TheTopTenAlgorithmsInDataMining

Subject Headings: Data Mining Algorithm, C4.5 Algorithm, K-Means Algorithm, Support Vector Machines, Apriori Algorithm, EM Algorithm, PageRank Algorithm, AdaBoost Algorithm, kNN Algorithm, Naive Bayes Algorithm, CART Algorithm

Notes

Identifying some of the most influential algorithms that are widely used in the data mining community, this volume provides a description of each algorithm, discusses the impact of the algorithms, and reviews current and future research on the algorithms. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is written by either the original authors of the algorithm or world-class researchers who have extensively studied the respective algorithm. The book concentrates on the following important algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.

1. C4.5. Naren Ramakrishnan p.1
2. (Ghosh & Liu, 2009) ⇒ Joydeep Ghosh and Alexander Liu. (2009). “K-Means.” In: (Wu & Kumar, 2009)
3. SVM: Support Vector Machines. Hui Xue, Qiang Yang, and Songcan Chen p.37
4. Apriori Hiroshi. Motoda Kouzou Ohara p.61
5. EM. Geoffrey J. McLachlan, and Shu-Kay Ng p.93
6. PageRank. Bing Liu, and Philip S. Yu p.117
7. AdaBoost. Zhi-Hua Zhou, and Yang Yu p.127
8. kNN: k-Nearest Neighbors. Michael Steinbach, and Pang-Ning Tan p.151
9. Naive Bayes. David J. Hand p.163
10. CART: Classification and Regression Trees. Dan Steinberg p.179,

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2009 TheTopTenAlgorithmsInDataMining	Vipin Kumar Xindong Wu			The Top Ten Algorithms in Data Mining			http://books.google.com/books?id=e-pSNQAACAAJ			2009