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WEKA
Analyzed about 1 year ago
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is
Licenses:
No declared licenses
YALE Open-Source Java Data Mining
Y
Analyzed about 1 year ago
YALE (Yet Another Learning Environment) is the most comprehensive open-source software for intelligent data analysis, data mining, knowledge discovery, machine learning, predictive analytics, forecasting, and analytics in business intelligence (BI). YALE provides more than 400 data mining operators
Licenses:
No declared licenses
jMotif
Analyzed about 1 year ago
JMotif implements in Java number of methods for timeseries data handling and analysis:
* Z normalization of timeseries
* Piecewise Aggregate Approximation (PAA) of timeseries
* Symbolic Aggregate Approximation (SAX) of timeseries
* iSAX (indexed SAX)
in order to help one leverage the symbolic
ELKI
Analyzed about 1 year ago
ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures.
Its focus is particularly on clustering
Licenses:
AGPL3_or_...