Top 10 algorithms in data mining

Xindong Wu; Vipin Kumar; J. R. Quinlan; Joydeep Ghosh; Qiang Yang; Hiroshi Motoda; Geoffrey J. McLachlan; Shu‐Kay Ng; Bing Liu; Philip S. Yu; Zhi‐Hua Zhou; Michael Steinbach; David J. Hand; Dan Steinberg

doi:10.1007/s10115-007-0114-2

Keywords

Computer scienceData miningCluster analysisAssociation rule learningNaive Bayes classifierAdaBoostStatistical classificationApriori algorithmSupport vector machineAlgorithmMachine learningData stream miningArtificial intelligence

Affiliated Institutions

Related Publications

Enrichment of High-Throughput Screening Data with Increasing Levels of Noise Using Support Vector Machines, Recursive Partitioning, and Laplacian-Modified Naive Bayesian Classifiers

Meir Glick , Jeremy L. Jenkins , James H. Nettles +2 more

High-throughput screening (HTS) plays a pivotal role in lead discovery for the pharmaceutical industry. In tandem, cheminformatics approaches are employed to increase the probab...

2005 Journal of Chemical Information and M... 104 citations

Knowledge-based analysis of microarray gene expression data by using support vector machines

Michael P. Brown , William Noble Grundy , David Lin +5 more

We introduce a method of functionally classifying genes by using gene expression data from DNA microarray hybridization experiments. The method is based on the theory of support...

2000 Proceedings of the National Academy o... 2306 citations

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

Hanchuan Peng , Fuhui Long , Chen Ding

Feature selection is an important problem for pattern classification systems. We study how to select good features according to the maximal statistical dependency criterion base...

2005 IEEE Transactions on Pattern Analysis... 10050 citations

On the generalization of soft margin algorithms

John Shawe‐Taylor , Nello Cristianini

Generalization bounds depending on the margin of a classifier are a relatively new development. They provide an explanation of the performance of state-of-the-art learning syste...

2002 IEEE Transactions on Information Theory 84 citations

Boosting the margin: a new explanation for the effectiveness of voting methods

Peter L. Bartlett , Yoav Freund , Wee Sun Lee +1 more

One of the surprising recurring phenomena observed in experiments\nwith boosting is that the test error of the generated classifier usually does\nnot increase as its size become...

1998 The Annals of Statistics 2310 citations

Publication Info

Year: 2007
Type: article
Volume: 14
Issue: 1
Pages: 1-37
Citations: 5595
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Top 10 algorithms in data mining

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

5595

OpenAlex

Cite This

APA Style

                            
                                
                                    Xindong Wu, 
                                
                                    Vipin Kumar, 
                                
                                    J. R. Quinlan
                                
                                et al.
                            
                            (2007). 
                            Top 10 algorithms in data mining. 
                            Knowledge and Information Systems
                            , 14
                            (1)
                            , 1-37.
                            https://doi.org/10.1007/s10115-007-0114-2
                        

Identifiers

DOI: 10.1007/s10115-007-0114-2