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Software for Data Science, Machine Learning, AI & Analytics




  • Analytics, Data Mining, Data Science, and Machine Learning platforms/suites, supporting classification, clustering, data preparation, visualization, and other tasks.
  • AutoML: Automated Data Science and Machine Learning tools and platforms
  • Classification software: building models to separate 2 or more discrete classes using:
    • Multiple methods
    • Decision Tree
    • Rules
    • Neural
    • Bayesian
    • SVM
    • Genetic, Rough Sets, Fuzzy Logic and other approaches
    • Analysis of results
  • Clustering and Segmentation software
  • Social Network Analysis, Link Analysis, and Visualization software
  • Statistical Analysis software
  • Text Analysis, Text Mining, and Information Retrieval (IR)
  • Visualization software
  • Web Analytics and Social Media Analytics software
  • Web Usage Mining: clickstream and log analysis




  • Agents and Bots
  • Anomaly Detection, Deviation, and Fraud Detection
  • Association rules and market basket analysis
  • Audio and Video Mining
  • Bayesian and Dependency Networks
  • BI (Business Intelligence), Database and OLAP software
  • Data Transformation, Data Cleaning, Data Cleansing
  • Estimation, Regression and Forecasting
  • Libraries, Components and Developer Kits for creating embedded data mining applications
  • Recommendations software and services
  • Sequential Patterns and Time Series
  • Web Content Mining, web scraping, screen scraping
  • Web Searching: search engines, crawlers, and similar software

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Published on June 3, 2013 by

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