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AroniSmartIntelligence 5.0.7 now Available in App® Store: Improved Text and Unstructured Mining and Bayesian Network Models

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b2ap3_thumbnail_AroniSmartIntelligence506.jpg AroniSmartIntelligence™,  the most advanced user friendly statistical and data mining tool for Mac OS X®, got even better. Version 5.0.7  is now available in App® Store at this link

 What is in AroniSmartIntelligence 5.0.7 vs. 5.0.6

AroniSmartIntelligence™ remains is one the most advanced tool in the AroniSmart ™ series that includes AroniStat™, AroniSmartStat™ and AroniSmartInvest™. AroniSmartIntelligence™ is a cutting edge statistics and data mining and BidData analytics tool, with additional modules on Data Mining, BigData, Unstructured Text and Data processing and Bayesian Statistics. The new version has the following:

  • Improvement in user interface harnessing the power, flexibility, and richness of Mac OSX 10 Yosemite
  • Optimization of BigData algorithms
  • Improved text mining and processing, with module to handle web, RSS, XML text feeds.
  • Better integration with AroniSmartInvest™, with the ability to process data generated through AroniSmartInvest™ RSS and XML processing module. :cheer

These new features come on top of the latest major features added in Version 5.0.6. These features were:

  • Ability to redraw and animate the Bayesian network graphs using a mouse or a magic trackpad
  • From Descriptive Analysis module, ability to transform numeric attributes (variables) into nominal attributes using binning, Kononenko's MDL criterion, Fayyad's MDL method, numeric to nominal, etc. In the earlier version, the option was only available in Bayesian Models module.
  • Optimization of Bayesian Network estimators and search algorithms.
  • Ability to automatically import datasets in "CSV" format into "Aroni" format.

AroniSmartIntelligence™ and BigData

Big Data has been here and exploding. Businesses, groups, individuals,  and the society in general  have been slowly adjusting to the new trend in technology, data mining and analytics adapted to the needs of Big Data. AroniSoft LLC, with its AroniSmart™  line of technology and analytical tools and methodologies, has been working to make sure our customers will be able to harness the benefits offered by Big Data. In our blogs, we covered what BigData is  and its benefits and how our tools have been readied (see our article here)

AroniSmartIntelligence™ and Bayesian Network Models and Unstructured and Text Mining

 AroniSmartIntelligence™ has a module dedicated to BigData: Bayesian Network Models and Unstructured Data and Text mining. The module is  dedicated to analyzing text data and discovering network relationships among different variables and attributes. The module  includes several Bayesian Network models, estimators, and algorithms to deal with unstructured data. AroniSmartIntelligence™ models have been optimized for the needs of BigData analytics. 

To support text and unstructured data mining, a Text processing capability  has been added in the Descriptive Analysis module. The new AroniSmartIntelligence™ allows the analyst to load plain text from various sources, organized in folders and sub-folders and create a dataset  in “Aroni” format, to be processed in the Bayesian Models, Regression Analytics, or Segmentation modules 

Background on AroniSmartIntelligence™

AroniSmartIntelligence™ is one the most advanced tools in the AroniSmart ™ series that includes AroniStat™, AroniSmartStat™ and AroniSmartInvest™.

  • For a focus to probability distributions, AroniSoft LLC has a simplified solution: AroniStat™.
  • For Applied Statistics for Research, AroniSmartStat™ is the best option.
  • AroniSmartIntelligence ™ addresses the needs of the most advanced researchers, business analysts, students, teachers, political analysts, statisticians, and data miners and decision makers.
  • AroniSmartIntelligence™ is a cutting edge statistics and data mining and BigData analytics tool, with additional modules on Data Mining, Big Data, Unstructured Text and Data processing and Bayesian Statistics.
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