red, green, blueNumeric: A real or integer numberString: Enclosed in double quotesDateRelational 8. Datasets in WekaEach entry in a dataset is an instance of the java class: instance consists of a number of attributesNominal: one of a predefined list of values e.g.
Main GUI Three graphical user interfacesThe Explorer (exploratory data analysis)The Experimenter (experimental environment)The KnowledgeFlow (new process model inspired interface)Simple CLI (Command prompt) Offers some functionality not available via the GUI601/07/13 7. Main Features49 data preprocessing tools76 classification/regression algorithms8 clustering algorithms3 algorithms for finding association rules15 attribute/subset evaluators + 10 search algorithmsfor feature selection501/07/13 6. Download and Install WEKAWebsite: multiple platforms (written in java): Windows, Mac OS X and LinuxWeka Manual: ge/weka/WekaManual-3.6.0.pdf401/07/13 5. What is WEKA?Waikato Environment for Knowledge AnalysisIts a data mining/machine learning tool developed by Department of Computer Science, University of Waikato, New Zealand.Weka is a collection of machine learning algorithms for data mining tasks.Weka is open source software issued under the GNU General Public License.301/07/13 4. ContentWhat is WEKA?Data set in WEKAThe Explorer:Preprocess dataClassificationClusteringAssociation RulesAttribute SelectionData VisualizationReferences and Resources2 01/07/13 3.
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