✦ LIBER ✦

Top 10 algorithms in data mining

✍ Scribed by Xindong Wu; Vipin Kumar; J. Ross Quinlan; Joydeep Ghosh; Qiang Yang; Hiroshi Motoda; Geoffrey J. McLachlan; Angus Ng; Bing Liu; Philip S. Yu; Zhi-Hua Zhou; Michael Steinbach; David J. Hand; Dan Steinberg

Book ID: 106280360
Publisher: Springer-Verlag
Year: 2007
Tongue: English
Weight: 783 KB
Volume: 14
Category: Article
ISSN: 0219-1377
DOI: 10.1007/s10115-007-0114-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

✍ Xindong Wu; Vipin Kumar; J. Ross Quinlan; Joydeep Ghosh; Qiang Yang; Hiroshi Mot 📂 Article 📅 2007 🏛 Springer-Verlag 🌐 English ⚖ 783 KB

This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms

The Top Ten Algorithms in Data Mining ed

The Top Ten Algorithms in Data Mining edited by Xindong Wu, Vipin Kumar

✍ Carl M. O’Brien 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 164 KB

Techniques of Cluster Algorithms in Data

Techniques of Cluster Algorithms in Data Mining

✍ Johannes Grabmeier; Andreas Rudolph 📂 Article 📅 2002 🏛 Springer US 🌐 English ⚖ 699 KB

Outlier Detection Algorithms in Data Min

Outlier Detection Algorithms in Data Mining Systems

✍ M. I. Petrovskiy 📂 Article 📅 2003 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 78 KB

Data Mining Models Methods and Algorithm

Data Mining Models Methods and Algorithms

✍ Mehmed, Kantardzic 📂 Fiction 📅 2011 🏛 Wiley-IEEE Press 🌐 English ⚖ 9 MB

Handbook of Applied Algorithms || Data M

Handbook of Applied Algorithms || Data Mining Algorithms I: Clustering

✍ Nayak, Amiya; Stojmenovi, Ivan 📂 Article 📅 2008 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 342 KB 👁 1 views

discover The Benefits Of Applying Algorithms To Solve Scientific, Engineering, And Practical Problems Providing A Combination Of Theory, Algorithms, And Simulations, Handbook Of Applied Algorithms Presents An All-encompassing Treatment Of Applying Algorithms And Discrete Mathematics To Practi