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The WEKA Data Mining Software: An Update Mark Hall Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer Peter Reutemann, Ian H. Witten
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Document Date: 2011-11-09 11:21:51


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File Size: 1,34 MB

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City

Porto / San Francisco / Belmont / Amsterdam / Add / Vienna / New York / Banff / Miami / London / Orlando / /

Company

A. Genkin D. D. / Pentaho Corporation / Bernhard Pfahringer Peter Reutemann / IOS Press / Neural Systems / ACM New York / Information Science Publishing / ACM Press / AAAI Press / WEKA Data Mining Software / Ian H. Witten Pentaho Corporation / /

Country

Netherlands / Canada / Portugal / New Zealand / Austria / United States / /

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Event

Reorganization / /

Facility

University of Ottawa / M. Hall / University of Waikato / Computer Science University of Waikato Hamilton / Carleton College / /

IndustryTerm

namely clustering algorithms / suitable algorithm / data-intensive processing tasks / well known algorithms / chosen base learning algorithm / well known open-source data mining systems / open source business intelligence software / data generator tools / biological applications / data mining algorithms / open source software / statistical clustering algorithms / bayesian networks / radial-basis function networks / intensive machine learning algorithms / pre-processing filters / open-source data mining vendors / data mining book / data mining research / statistical computing environment / parallel data mining / data mining process / data pre-processing tools / machine learning algorithms / association rule mining / distributed data mining / search strategy / regression algorithms / data mining / web service / selected learning algorithm / multiinstance algorithms / data mining systems / epitope prediction tools / machine learning / search methods / base learning algorithms / radial basis function network / data mining practitioners / batch-based data processing / classification algorithms / natural language processing / appropriate algorithm / appropriate incremental learning algorithms / data mining component / data preprocessing tools / data mining tasks / interconnected processing nodes / individual learning algorithms / regression algorithm / learning algorithms / /

NaturalFeature

Rotation forest / Waikato / /

OperatingSystem

Unix / /

Organization

Computer Science University of Waikato Hamilton / University of Ottawa / North Atlantic Treaty Organization / University of Waikato / Carleton College / New Zealand government / Pattern Analysis and Machine Intelligence / Foundation for Statistical Computing / Yale / SIGKDD Data Mining and Discovery Service / USA Department / Department of Computer Science / /

Person

Geoffrey Holmes / Mayday / Morgan Kaufmann / /

Position

first author / D. H. Fisher / editor / Konstanz Information Miner / Bayes network editor / Bayesian network editor / editor / dataset editor / /

Product

Skullcandy G.I. Headphone/Headset / Explorer / Experimenter / /

ProgrammingLanguage

TCL/TK / Java / SQL / XML / FL / Prolog / C / /

ProvinceOrState

New York / California / Florida / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / /

Region

Asia Pacific / /

Technology

XML / statistical clustering algorithms / appropriate incremental learning algorithms / base learning algorithms / neural network / Java / DNA Chip / learning algorithms / well known algorithms / chosen base learning algorithm / business intelligence / GUI / virtual machine / machine learning algorithms / bioinformatics / Unix / suitable algorithm / clustering algorithm / namely clustering algorithms / regression algorithm / individual learning algorithms / machine learning / eight learning algorithms / natural language processing / appropriate algorithm / computationally intensive machine learning algorithms / data mining algorithms / selected learning algorithm / regression algorithms / classification algorithms / data mining / multiinstance algorithms / /

URL

http /

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