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Software Suites for Data Mining, Analytics, and Knowledge Discovery

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A B C D E F G H I J K L M N O P Q R S T U V W XYZ

  • AdvancedMiner (formerly Gornik), a platform for data mining and analysis, featuring modeling interface (OOP script, latest GUI design, advanced visualization) and grid computing.
  • Affinium Model (from Unica), includes valuator, profiler, response modeler, and cross seller.
  • Alice d'Isoft, offers interactive decision trees for the business user.
  • Angoss Knowledge Studio, a comprehensive suite of data mining and predictive modeling tools; interoperability with SAS and other major statistical tools.
  • ASA's ModelMAX, predictive modeling and clustering analysis for business users that want fast and accurate results.
  • BayesiaLab, a complete and powerful data mining tool based on Bayesian networks, including data preparation, missing values imputation, data and variables clustering, unsupervised and supervised learning.
  • BioComp i-Suite, constraint-based optimization, cause and effect analysis, non-linear predictive modeling, data access and cleaning, and more.
  • BLIASoft Knowledge Discovery software, for building models from data based mainly on fuzzy logic.
  • Clementine from SPSS, leading visual rapid modeling environment for data mining. Now includes Clementine Server.
  • Data Applied, offers a comprehensive suite of web-based data mining techniques, an XML web API, and rich data visualizations.
  • Data Miner Software Kit, collection of data mining tools, offered in combination with a book: Predictive Data Mining: A Practical Guide, Weiss and Indurkhya.
  • DataDetective, the powerful yet easy to use data mining platform and the crime analysis software of choice for the Dutch police.
  • DataLab, a complete and powerful data mining tool with a unique data exploration process, with a focus on marketing and interoperability with SAS.
  • DBMiner 2.0 (Enterprise), powerful and affordable tool to mine large databases; uses Microsoft SQL Server 7.0 Plato
  • Delta Miner, integrates new search techniques and "business intelligence" methodologies into an OLAP front-end that embraces the concept of Active Information Management.
  • ESX from InfoAcumen, add-on to Excel, providing clustering and rule-based classification. Free Trial Download.
  • EWA Systems, complete Java-based data-mining suite, including a full range of high-performance rules-based, Bayesian, neural, and SVM techniques.
  • Exeura RialtoTM provides comprehensive support for the entire data mining and analytics lifecycle at an affordable price in a single, easy-to-use tool.
  • Fair, Isaac Business Science, includes data analysis, decision tree and predictive model construction, decision optimization, business rules management, and open-platform deployment.
  • GainSmarts, uses predictive modeling technology that can analyze past purchase, demographic, and lifestyle data , to predict the likelihood of response and develop an understanding of consumer characteristics.
  • Generation5 GenVoy, On-Demand Consumer Analytics.
  • GenIQ Model, uses machine learning for regression task; automatically performs variable selection, and new variable construction, and then specifies the model equation to "optimize the decile table".
  • GhostMiner, complete data mining suite, including k-nearest neighbors, neural nets, decision tree, neurofuzzy, SVM, PCA, clustering, and visualization.
  • Golden Helix Optimus RP, uses Formal Inference-based Recursive Modeling (recursive partitioning based on dynamic programming) to find complex relationships in data and to build highly accurate predictive and segmentation models.
  • IBM Intelligent Miner Data Mining Suite, now fully integrated into the IBM InfoSphere Warehouse software; includes Data and Text mining tools (based on UIMA).
  • Insightful Miner, affordable, big-data workbench for building predictive analysis applications
  • K.wiz, from thinkAnalytics - massively scaleable, embeddable, Java-based real-time data-mining platform. Designed for Customer and OEM solutions.
  • Kaidara Advisor, (formerly Acknosoft KATE), Case-Based Reasoning (CBR) and data mining engine.
  • Kensington Discovery Edition, high-performance discovery platform for life sciences, with multi-source data integration, analysis, visualisation, and workflow building.
  • Kepler, extensible, multi-paradigm, multi-purpose data mining system.
  • KnowledgeMiner, a self-organizing modeling tool that uses GMDH neural nets and artificial intelligence to easily extract knowledge from data. (MacOS)
  • KnowledgeMiner (yX) for Excel, a knowledge mining tool that works with data stored in Microsoft Excel for building predictive and descriptive models. (MacOS, Excel 2004 or later).
  • KXEN (Knowledge eXtraction ENgines), providing Vapnik SVM (Support Vector Machines) tools, including data preparation, segmentation, time series, and SVM classifiers.
  • LPA Data Mining tools support fuzzy, bayesian and expert discovery and modeling of rules.
  • Magnify PATTERN, software suite, contains PATTERN:Prepare for data preparation; PATTERN:Model for building predictive models; and PATTERN:Score for model deployment
  • MCubiX from Diagnos, a complete and affordable data mining toolbox, including decision tree, neural networks, associations rules, visualization, and more.
  • MERKUR Miner Plus combines OLAP high speed and visualization with Data Mining to create forecasting and classification models.
  • Microsoft SQL Server 2005, empowers informed decisions with predictive analysis through intuitive data mining, seamlessly integrated within the Microsoft BI platform, and extensible into any application.
  • mlf (Machine Learning Framework), provides analysis, prediction, and visualization using fuzzy logic and ML methods; implemented in C++ and integrated into Mathematica.
  • Model 1, Response Modeler, Segmenter and Profiler, Customer Valuator, and Cross-Seller modules with a wizard GUI.
  • Nuggets, builds models that uncover hidden facts and relationships, predict for new data, and find key variables (Windows).
  • Oracle Data Mining (ODM), provides GUI, PL/SQL-interface, and Java-interface to Attribute Importance, Bayes Classification, Association Rules, Clustering, SVM, and more.
  • Partek, pattern recognition, interactive visualization, and statistical analysis & modeling system.
  • Polyanalyst, comprehensive suite for data mining, now also including text analysis, decision forest, and link analysis. Supports OLE DB for Data Mining, and DCOM technology.
  • Powerhouse Data Mining software for predictive and clustering modelling,based on Dorian Pyle's ideas on using Information Theory in data analysis. Most information is in Spanish.
  • Predictive Data Mining Suite from Predictive Dynamix integrates graphical and statistical data analysis with modeling algorithms including neural networks, clustering, fuzzy systems, and genetic algorithms.
  • Previa family of products for classification and forecasting.
  • RiverGlass software offers data mining, streaming data analysis, visualization, and more.
  • Quadstone DecisionHouse provides data extraction, management, pre-processing and visualisation, plus customer profiling, segmentation and geographical display.
  • RapAnalyst(tm), uses advanced artificial intelligence to create dynamic predictive models, to reveal relationships between new and historical data.
  • Reel Two, real-time classification software for structured and unstructured data as well entity extraction. From desktop to enterprise.
  • Salford Systems Data Mining Suite: CART Decision Trees, MARS predictive modeling, automated regression, TreeNet classification and regression, data access, preparation, cleaning and reporting modules, RandomForests predictive modeling, clustering and anomaly detection.
  • SAS Enterprise Miner, an integrated suite which provides a user-friendly GUI front-end to the SEMMA (Sample, Explore, Modify, Model, Assess) process.
  • SPAD, provides powerful exploratory analyses and data mining tools, including PCA, clustering, interactive decision trees, discriminant analyses, neural networks, text mining and more, all via user-friendly GUI.
  • SPSS featuring Clementine, SPSS and other data mining tools.
  • StarProbe, cross-platform, very fast on big data, star schema support, special tools & features for data with rich categorical dimensional information.
  • Statistica Data Miner, a comprehensive, integrated statistical data analysis, graphics, data base management, and application development system.
  • Synapse, a development environment for neural networks and other adaptive systems, supporting the entire development cycle from data import and preprocessing via model construction and training to evaluation and deployment; allows deployment as .NET components.
  • Teradata Warehouse Miner and Teradata Analytics, providing analytic services for in-place mining on a Teradata DBMS.
  • thinkCRA from thinkAnalytics, an integrated suite of Customer Relationship Analytics applications supporting real-time decisioning.
  • TIBCO Spotfire Miner, combining Spotfile visualization, Insightful Miner, S+ with intuitive drag-and-drop user interface.
  • Viscovery data mining suite, a unique, comprehensive data mining suite for business applications with workflow-guided project environment; includes modules for visual data mining, clustering, scoring, automation and real-time integration.
  • WITNESS Miner, a graphical data mining tool with decision trees, clustering, discretisation, feature subset selection, and more.
  • XLMiner, Data Mining Add-In For Excel.
  • Xpertrule Miner 4.0, (Attar Software) features data transformation, Decision Trees, Association Rules and Clustering on large scale data sets.
  • Zoom 'n View, the plug-in reporting solutions.

Free and Shareware

  • ADaM, Algorithm Development and Mining version 4.0 toolkit
  • AlphaMiner, open source data mining platform that offers various data mining model building and data cleansing functionality.
  • Databionic ESOM Tools, a suite of programs for clustering, visualization, and classification with Emergent Self-Organizing Maps (ESOM).
  • Gnome Data Mining Tools, including apriori, decision trees, and Bayes classifiers.
  • IBM Intelligent Miner. University scholars can now receive free copies of DB2 UDB and Intelligent Miner for educational or research purposes.
  • KEEL, includes knowledge extraction algorithms, preprocessing techniques, evolutionary rule learning, genetic fuzzy systems, and more.
  • KNIME, extensible open source data mining platform implementing the data pipelining paradigm (based on eclipse).
  • Machine Learning in Java (MLJ), an open-source suite of Java tools for research in machine learning.
  • MiningMart, a graphical tool for data preprocessing and mining on relational databases; supports development, documentation, re-use and exchange of complete KDD processes. Free for non-commercial purposes.
  • MLC++, a machine learning library in C++. Kansas State U. port of MLC++: Binary (tar.gz), and Linux source
  • Orange, C++ components for data mining,includes preprocessing, modelling and data exploration techniques.
  • RapidMiner, a leading open-source system for knowledge discovery and data mining.
  • Rattle, a data mining suite based on open source statistical language R, includes graphics, clustering, modeling, and more.
  • StarProbe, Web-based multi-user server available for academic institutions.
  • TANAGRA, offers a GUI interface and methods for data access, statistics, feature selection, classification, clustering, visualization, association and more.
  • Weka, collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform.
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