Enrolments open for "Data Mining with Weka" (WekaMOOC)

Mark Hall — Thu, 15 Aug 2013 23:04:00 -0000

We are now pleased to announce that the full Data Mining with Weka course is open for enrolment.

http://weka.waikato.ac.nz

The course will start on 9th September and extends over 5 weeks. It features:

· Video lectures
· Practical activities and online assessment
· Extracts from Data Mining (3rd Edition): Witten, Frank & Hall (2011)

You can also follow the course via Twitter or the blog:

https://twitter.com/WekaMOOC

http://wekamooc.blogspot.co.nz/

Ian Witten
David Nichols

--
Department of Computer Science
University of Waikato
New Zealand

http://cs.waikato.ac.nz

Temporary wiki is permanent now

Mark Hall — Mon, 15 Oct 2012 22:23:08 -0000

The previously announced temporary wiki located at http://weka.wiki.sourceforge.net/ is now the permanent home of the Weka Wiki.

Temporary wiki available

Mark Hall — Mon, 15 Oct 2012 22:23:08 -0000

sf.net is currently migrating the old wiki (located at http://weka.wiki.sourceforge.net) to a MediaWiki one. As it is unclear how long the migration process will take, I've setup a temporary wiki over at wikispaces.com. You can access this wiki at the following location: http://weka.wikispaces.com/

Weka 3.4.15 (book), 3.6.1 (stable) and 3.7.0 (development)

Mark Hall — Mon, 15 Oct 2012 22:23:08 -0000

New versions of Weka are available for download from the Weka homepage: * Weka 3.4.15 - the stable book version available as ZIP, Win32 installer, Win32 installer incl. JRE 1.4.2_13 and Mac OS X application. * Weka 3.6.1 - stable GUI version. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.5.0_18 and Mac OS X application. * Weka 3.7.0 - development version. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.5.0_18 and Mac OS X application. All versions contain a significant number of bugfixes, it is recommended to upgrade to the new versions. Weka homepage: http://www.cs.waikato.ac.nz/~ml/weka/ Note: It might take a while before Sourceforge.net has propagated all the files to its mirrors. What's new in 3.7.0? Some highlights --------------- * Tabu search method for feature selection * EM-based imputation of missing values * Speed improvements for random trees, which in turn lead faster random forests (up to an order of magnitude faster) * Support for importing PMML decision trees * Apriori can make use of sparse instances for market basket type data * Support for using environment variables in the Knowledge Flow * Support for Groovy scripting * Improvements to the loading of CSV files * Enhanced plugin support in the Explorer's Classify panel * Filter for sorting the labels of nominal attributes * Information on instance weights displayed in the Preprocess panel of the Explorer * Wrapper feature selection now supports mae, f-measure, auc, rmse (probabilities), mae (probabilities) as well as the original error rate and rmse * Converters to read and write Matlab's ASCII file format As usual, for a complete list of changes refer to the changelogs. Cheers, The Weka Team

Weka 3.4.14 (book) and 3.6.0 (stable)

Mark Hall — Mon, 15 Oct 2012 22:23:08 -0000

New versions of Weka are available for download from the Weka homepage: * Weka 3.4.14 - the stable book version available as ZIP, Win32 installer, Win32 installer incl. JRE 1.4.2_13 and Mac OS X application. * Weka 3.6.0 - stable GUI version created from the head of the development version. The 3.6 code line will receive bug-fixes only from now on. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.5.0_16 and Mac OS X application. Both versions contain a significant number of bugfixes, it is recommended to upgrade to the new versions. Weka homepage: http://www.cs.waikato.ac.nz/~ml/weka/ Note: It might take a while before Sourceforge.net has propagated all the files to its mirrors. What's new in 3.6.0? Some highlights --------------- * PMML import * Rotation Forest classifier * LADTree classifier (multi-class alternating decision trees) * ScatterSearch (new search algorithm in the attribute selection package) * Wrapper classifier for the LibLINEAR library * K-Means now has an option to use the Manhattan distance function in combination with the component-wise median as the centroids. * The Explorer has some small usability enhancements. * KnowledgeFlow has major improvements to user-feedback in the form of a new status messaging area. * Classifier component in the KnowledgeFlow is now multi-threaded and can learn models on multiple cross-validation folds in parallel. * Improved help for classifiers and clusterers is now available from the command-line interface as well as the GUI's. * Averaged information retrieval statistics are now available in the GUI's as well as from the command line. * Weka now has a central logging facility used by all the major user interfaces. * A new monolithic user manual for Weka, incorporating all the existing individual tutorial pdfs plus info from the WekaDoc wiki. As usual, for a complete list of changes refer to the changelogs. Cheers, The Weka Team

Weka 3.4.13 (book) and 3.5.8 (developer)

Mark Hall — Mon, 15 Oct 2012 22:23:08 -0000

New versions of Weka are available for download from the Weka homepage: * Weka 3.4.13 - the book version available as ZIP, Win32 installer, Win32 installer incl. JRE 1.4.2_13 and Mac OS X application. * Weka 3.5.8 - the developer version available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.5.0_16 and Mac OS X application. Both versions contain a significant number of bugfixes, it is recommended to upgrade to the new versions. The documentation on the WekaDoc Wiki on Sourceforge.net will be updated in the near future. Weka homepage: http://www.cs.waikato.ac.nz/~ml/weka/ Note: It might take a while before Sourceforge.net has propagated all the files to its mirrors. What's new in the developer version? Some highlights --------------- * New classifiers: Bayesian logistic regression, discriminitive multinomial naive Bayes for text classification, functional trees and decision table-naive Bayes hybrid. * SubsetByExpression filter. * Latent semantic analysis. * Improved output in Logistic, NaiveBayes, EM and SimpleKMeans. * Plugin support for the KnowledgeFlow. * Ability to execute knowledge flows outside of the GUI. * Output predictions for a run of cross-validation and percentage split on the command line. * Instance weights can now be specified in a standard ARFF file. * Cost sensitive attribute selection. New classes: weka.attributeSelection.ASEvaluation: weka.attributeSelection.CostSensitiveAttributeEval weka.attributeSelection.CostSensitiveSubsetEval weka.attributeSelection.FilteredAttributeEval weka.attributeSelection.FilteredSubsetEval weka.attributeSelection.LatentSemanticAnalysis weka.classifiers.Classifier: weka.classifiers.bayes.BayesianLogisticRegression weka.classifiers.bayes.DMNBtext weka.classifiers.rules.DTNB weka.classifiers.trees.FT weka.core.DistanceFunction: weka.core.EditDistance weka.clusterers.Clusterer: weka.clusterers.CLOPE weka.clusterers.sIB weka.classifiers.functions.supportVector.Kernel: weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel weka.experiment.SplitEvaluator: weka.experiment.DensityBasedClustererSplitEvaluator weka.associations.Associator: weka.associations.HotSpot weka.filters.Filter: weka.filters.unsupervised.instance.SubsetByExpression As usual, for a complete list of changes refer to the changelogs. Cheers, The Weka Team

Reuters21578 ModApte split available

Mark Hall — Mon, 15 Oct 2012 22:23:08 -0000

The ModApte split of the Reuters21578 dataset in ARFF format is available from the downloads section, "datasets" package, "text-datasets" release. Note: the compressed archive is ~81MB.

Weka 3.4.12 (book) and 3.5.7 (developer)

Mark Hall — Mon, 15 Oct 2012 22:23:08 -0000

New versions of Weka are available: * Weka 3.4.12 - the book version available as ZIP, Win32 installer, Win32 installer incl. JRE 1.4.2_13 and Mac OS X application. * Weka 3.5.7 - the developer version available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.5.0_12 and Mac OS X application. Both versions cotain a significant number of bugfixes, it is recommended to upgrade to the new versions. What's new in the developer version? - GUI for bayes net classifiers - new distance functions: Manhattan and Chebyshev - new classifiers: weka.classifiers.trees.J48graft weka.classifiers.bayes.AODEsr weka.classifiers.JythonClassifier weka.classifiers.bayes.net.MarginCalculator weka.classifiers.meta.ClassificationViaClustering - new filters: weka.filters.unsupervised.instance.ReservoirSample weka.filters.unsupervised.attribute.PrincipalComponents weka.filters.unsupervised.attribute.RELAGGS weka.filters.unsupervised.attribute.RandomSubset - new attribute selection classes: weka.attributeSelection.LinearForwardSelection weka.attributeSelection.SubsetSizeForwardSelection

Weka 3.4.11 (book) and 3.5.6 (developer)

Mark Hall — Mon, 15 Oct 2012 22:23:08 -0000

New versions of Weka are available: * Weka 3.4.11 - the book version available as ZIP, Win32 installer and Win32 installer incl. JRE 1.4.2_13 * Weka 3.5.6 - the developer version available as ZIP, with Win32 installer and Win32 installer incl. JRE 1.5.0_12 Both versions cotain a significant number of bugfixes (some critical), it is recommended to upgrade to the new versions. What's new in the developer version? - nearest neighbor search got re-organized and extended: weka.core.neighboursearch.BallTree weka.core.neighboursearch.CoverTree weka.core.neighboursearch.KDTree weka.core.neighboursearch.LinearNNSearch - tokenizers for the StringToWordVector are now GOE objects and the NGram tokenizer got added: weka.core.tokenizers.AlphabeticTokenizer weka.core.tokenizers.NGramTokenizer weka.core.tokenizers.WordTokenizer - new classifiers: weka.classifiers.bayes.NaiveBayesMultinomialUpdateable weka.classifiers.misc.SerializedClassifier - a new kernel: weka.classifiers.functions.supportVector.Puk - new associators: weka.associations.FilteredAssociator weka.associations.GeneralizedSequentialPatterns - new filters: weka.filters.unsupervised.attribute.KernelFilter weka.filters.unsupervised.attribute.NominalToString

Weka 3.4.10 (book) and 3.5.5 (developer)

Mark Hall — Mon, 15 Oct 2012 22:23:08 -0000

New versions of Weka are available: * Weka 3.4.10 - the book version available as ZIP, Win32 installer and Win32 installer incl. JRE 1.4.2_13 * Weka 3.5.5 - the developer version available as ZIP, with Win32 installer and Win32 installer incl. JRE 1.5.0_10 Both releases fix problems with starting Weka under Windows. A critical bug was fixed in the mergeInstance method of the SparseInstance class.

Recent posts to news

Enrolments open for "Data Mining with Weka" (WekaMOOC)

Temporary wiki is permanent now

Temporary wiki available

Weka 3.4.15 (book), 3.6.1 (stable) and 3.7.0 (development)

Weka 3.4.14 (book) and 3.6.0 (stable)

Weka 3.4.13 (book) and 3.5.8 (developer)

Reuters21578 ModApte split available

Weka 3.4.12 (book) and 3.5.7 (developer)

Weka 3.4.11 (book) and 3.5.6 (developer)

Weka 3.4.10 (book) and 3.5.5 (developer)