10Algorithms-08 This paper presents the top 10 dat

Title: 10Algorithms-08

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2012-11-26
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Description: 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 in the research community.With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and reviewcurrent and further research on the algorithm. These 10 algorithms cover classification,

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To Search: Naive Bayes EM algorithm AdaBoost SVM CART naive bayes algorithm SVM Bayes

[adaboost for face detection] - this is a adaboost algorithm write with
[DecisionTrees] - this is decision tree ID3 algorithm, thi
[NaiveBayesPresentation] - it s explain about Naive Bayes simplicit
[BayesClassifier] - Bayesian classification algorithm, Naive
[facedetectionsvmeigenface] - SVM that uses eigen faces for face recog
[CART] - This is the machine learning algorithm,
[VIPScode] - VIPS algorithm based on Microsoft' s
[adaboost] - Face Recognition adaboost. Including loa
[Adaboost] - With adaboost face detection algorithm
[Compressive_Sensing_The_Big_Picture] - Compressive Sensing The Big Picture

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