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Orange Data mining
 
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SpagoBI Business Intelligence
 
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Anaconda
 
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Shogun
 
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GraphLab Create
 
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Natural Language Toolkit
 
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DataMelt
 
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Apache Mahout
 
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ELKI
 
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Scikit-learn
 
13
Lavastorm Analytics Engine
 
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GNU Octave
 
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Apache UIMA
 
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CMSR Data Miner
 
17
KNIME Analytics Platform Community
 
18
Fityk
 
19
Rattle GUI
 
20
ROSETTA
 
21
RapidMiner Starter Edition
 
22
TANAGRA
 
23
LIBLINEAR
 
24
Pandas
 
25
mlpy
 
26
CLUTO
 
27
OpenNN
 
28
Alteryx Project Edition
 
29
KEEL
 
30
MiningMart
 
31
Vowpal Wabbit
 
32
streamDM
 
33
Dlib
 
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TraMineR
 
35
Jubatus
 
36
Databionic ESOM
 
37
MALLET
 
38
Chemicalize.org
 
39
ML-Flex
 
40
ADaM
 
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Modular toolkit for Data Processing
 
42
DataPreparator
 
43
Dataiku DSS Community
 
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Sentic API
 
45
ADaMSoft
 
46
LIBSVM
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DataMining Software Free
Most Recent
 
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September 20, 2017

LIBLINEAR

LIBLINEAR is an open source library that is used by data scientists, developers and end users to perform large scale linear classification. The easy to use command tools and library calls enables LIBLINEAR to be used by data scientists and developers to perform logistics, regression and linear support for vector machine. With LIBLINEAR developers and data scientists are able to same data format as the one in LIBSVM found in LINLINEAR general purpose SVM solver which also has similar usage. LINLINEAR presents several machine language interfaces that can be used by data scientists and developers. The machine language interfaces presented are Python, Java, [...]

43.25
 
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September 18, 2017

LIBSVM

LIBSVM is a library for Support Vector Machines (SVMs). LIBSVM offers tools such as Multi-core LIBLINEAR, Distributed LIBLINEAR, LIBLINEAR for Incremental and Decremental Learning, LIBLINEAR for One-versus-one Multi-class Classification, Large-scale rankSVM, LIBLINEAR for more than 2^32 instances/features (experimental), Large linear classification when data cannot fit in memory, Weights for data instances, Fast training/testing for polynomial mappings of data, Cross Validation with Different Criteria (AUC, F-score), Cross Validation using Higher-level Information to Split Data, LIBSVM for dense data, LIBSVM for string data, Multi-label classification, [...]

8.75
 
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September 18, 2017

Sentic API

Sentic API provides the semantics and sentics such as the denotative and connotative information associated with the concepts of SenticNet 4, a semantic network of commonsense knowledge that contains 50,000 nodes in words and multiword expressions and thousands of connections in relationships between nodes. Sentic API is available in 40 different languages and lets users selectively access the latest version of the knowledge base online. Since polarity detection is the most common sentiment analysis task, Sentic API provides two fine-grained commands for it. For polarity detection intended as a binary classification problem (positive vs. negative), [...]

12.25
 
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September 18, 2017

DataPreparator

DataPreparator is a free software tool which is designed to assist with common tasks of data preparation (or data preprocessing) in data analysis and data mining. DataPreparator offers features such as character removal, text replacement, date conversion, remove selected attributes, move selected attributes, equal width, equal frequency, equal frequency from grouped data, delete records containing missing values, remove attributes containing missing values, impute missing values, predict missing values from model (dependence tree, Naive Bayes model), include missing value patterns, Z-score method, Box-plot method, create binary attributes, replace nominal [...]

24.75
 
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September 17, 2017

ADaMSoft

ADaMSoft is a free and open-source system for data management, data and web mining, statistical analysis. ADaMSoft offers procedures such as Principal component analysis, Text mining, Web Mining, Analysis of three ways time arrays, Linear regression with fuzzy dependent variable, Utility, Synthesis table, Import a data table (file) in ADaMSoft (create a dictionary), Charts, Neural network (MLP), Association measures for qualitative variables, Linear algebra, Evaluate the results of function approximation, Data Management, Function fitting, Error localization and data imputation, Decision trees, Statistics on quantitative variables, Record linkage, [...]

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