New features include Text Analytics - Integration with Lexalytics, in-memory analytics using 64-bit addressing, in-DB module integrated with Oracle, Teradata, SQL Server, Netezza, and more.
TORONTO, May 15, 2012 /PRNewswire via COMTEX/
Angoss Software Corporation (Angoss) is pleased to make available new features to its predictive analytics and data mining software suite version 8.0 which includes KnowledgeSEEKER® and KnowledgeSTUDIO®. The new features advance Angoss' big data analytics capabilities and improve data mining productivity and efficiency for companies with growing volumes of structured and unstructured data who are using analytics to transform information into insight and action.
... Improving predictive analytics is always a goal and Angoss software suite version 8.0 continues this trend. Text analytics with KnowledgeSTUDIO can analyze unstructured data such as social media (blogs, tweets, forum posts and newsfeeds), call center logs, emails and other forms of communications. Angoss has partnered with Lexalytics®, the leading text and sentiment analysis engine provider, to perform text mining to extract themes and entities, and perform sentiment analysis. KnowledgeSTUDIO now allows you to merge this output of text analytics with structured, proprietary data and perform data mining and predictive analytics with additional predictive variables to accelerate your predictive and exploratory power.
KnowledgeSEEKER and KnowledgeSTUDIO Version 8.0-Feature Highlights:
Text Analytics - Integration with Lexalytics, the leading text and sentiment analysis engine, allows companies to perform text mining of unstructured data including social media to extract themes and entities, and perform sentiment analysis. Merge the output of text analytics with structured, proprietary data to perform data mining and predictive analytics with additional predictive variables for improved accuracy.
Big Data Analytics - The In-Database Analytics module is now optimized for use with Oracle® databases. Teradata®,Microsoft® SQL Server and Netezza™ databases are also optimized for use in big data environments.
In-Memory Analytics - 64-bit addressing of memory allows more data to be held in memory for analytic processing and increases the amount of data that can be loaded into KnowledgeSTUDIO.
Data Preparation - Import and connect multiple data sources directly in the software suite and then use graphical wizards to transform the data for analysis without the need to write code. Data preparation operations are supported in-database and include removing duplicates; aggregation of data; joining and appending datasets; and generating dummy variables.
SQL Function Code Generator - Automatic code generation options for SQL is added to trees, regression and cluster models. Synchronized code generation is enabled between Decisions Trees and Strategy Trees.