Trending
PAT Index™
ALL
PAT Index™
 
1
Orange Data mining
 
2
Weka Data Mining
 
3
Neural Designer
 
4
ELKI
Random Articles
 
Top Free Social Media Analytics Software
Top 42 Free Social Media Management, Social Media Analytics and Social Publishing Software
 
Top 41 Free and Open Source Customer Relationship Management (CRM) Software
 
Top 23 Free and Open Source Human Resource ( HR) Software
 
17 Top Sales Analytics and Sales Intelligence Reporting Software
 
Top 252 Social Media Management, Social Media Analytics, Social Publishing and Social Monitoring Software
 
Top 34 Human Resource Management ( Core HR) Software
 
Top 24 Predictive Analytics Free Software
 
Predictive Analytics Quadrant_1
What is Predictive Analytics ?
 
Top 27 Free Software for Text Analysis, Text Mining, Text Analytics
 
Top Business Intelligence Tools
Top 238 Free & Premium Business Intelligence Tools
 
Top Predictive Analytics Software API
Top 30 Predictive Analytics Software API
 
Predictive Analytics Value Chain
What is Predictive Modeling ?
 
Bigdata Platforms and Bigdata Analytics Software
Top 50 Bigdata Platforms and Bigdata Analytics Software
 
Cloud – SaaS – OnDemand Business Intelligence Solutions
Top 45 Cloud – SaaS – OnDemand Business Intelligence Software
Data Mining
Most Recent
 
Read More
July 24, 2017

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
15858.75
 
Read More
April 10, 2017

Top 41 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
14322.75
 
Read More
August 25, 2016

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 access to SQL databases [...]

1954.5
 
Read More
August 25, 2016

Orange Data mining

Orange is an open source data visualization and analysis tool. Orange is developed at the Bioinformatics Laboratory at the Faculty of Computer and Information Science, University of Ljubljana, Slovenia, along with open source community. Data mining is done through visual programming or Python scripting. The tool has components for machine learning, add-ons for bioinformatics and text mining and it is packed with features for data analytics. Orange is a Python library. Python scripts can run in a terminal window, integrated environments like PyCharm and PythonWin, or shells like iPython. Orange consists of a canvas interface onto which the user places [...]

2707
 
Read More
August 1, 2016

ELKI

The ELKI framework is written in Java and built around a modular architecture. Most currently included algorithms belong to clustering, outlier detection and database indexes. A key concept of ELKI is to allow the combination of arbitrary algorithms, data types, distance functions and indexes and evaluate these combinations. When developing new algorithms or index structures, the existing components can be reused and combined.

ELKI is modeled around a database core, which uses a vertical data layout that stores data in column groups (similar to column families in NoSQL databases). This database core provides nearest [...]

101.75
Compare
Go