About: The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows.

• Added almost 20 more conversions and 20 new actors
• R-Project integration using Rserve
• WEKA webservice allows for programming language agnostic training, evaluation and use of WEKA models (classifiers, clusterers) and data processing using filters
• Spreadsheets now come with basic formula support
• Spreadsheets can be used for lookup tables in the flow
• Support for "chunked" reading/writing of spreadsheets to process millions of rows

About: Tools to convert datasets from various formats to various formats, performance measures and API functions to communicate with mldata.org

• Change task file format, such that data splits can have a variable number items and put into up to 256 categories of training/validation/test/not used/...
• Various bugfixes.

About: This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.

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