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April 10, 2017

Top 34 Free Data Analysis Software

Top 34 Free Data Analysis Software : List of 34 + top data analysis freeware software solutions including ELKI, ITALASSI, R, Data Applied, DevInfo, Tanagra, Waffles, Weka, Encog,RapidMiner, PAW, SCaVi, ILNumerics.Net, ROOT, Julia, MOA, NumPy, SciPy, KNIME, NetworkX, matplotlib, IPython, SymPy, Scilab, FreeMat, jMatLab
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50 Top Free Data Mining Software

Top Free Data Mining Software: Review of 50 + top data mining freeware including Orange, Weka,Rattle GUI, Apache Mahout, SCaViS, RapidMiner, R, ML-Flex, Databionic ESOM Tools, Natural Language Toolkit, SenticNet API , ELKI , UIMA, KNIME, Chemicalize.org , Vowpal Wabbit, GNU Octave, CMSR Data Miner, Mlpy, MALLET, Shogun, Scikit-learn, LIBSVM, LIBLINEAR, Lattice Miner, Dlib, Jubatus, KEEL, Gnome-datamine-tools, Alteryx Project Edition , OpenNN, ADaM, ROSETTA, ADaMSoft, Anaconda, yooreeka, AstroML, streamDM, Apache Mahout, jHepWork, TraMineR, ARMiner, arules and CLUTO
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August 25, 2016

Weka Data Mining

Weka Data Mining : 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 features include machine learning, data mining, preprocessing, classification, regression, clustering, association rules, attribute selection, experiments, workflow and visualization. Weka is written in Java, developed at the University of Waikato, New Zealand. All of Weka’s techniques are predicated on the assumption that the data is available as a single flat file or relation, where each data point is described by a fixed number of attributes Weka provides [...]

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