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ProM is the comprehensive, extensible framework for process mining. Process Mining deals with the a-posteriori analysis of (business) processes using enactment logs.
Data mining tool for sequences (e.g. trajectories on a map, visited web pages, etc.) that creates a succinct description of the sequences, given a taxonomy (e.g. regions and sub-regions in the map, categories and sub-categories of pages, etc.).
System for Web usage mining and data warehouse: it allows the discovery of knowledge from data (KDD) regarding users' usage on the Web (such as unique visitors, sessions, transactions) and organise it in a RDBMS (currently PostgreSQL). Written in C++.
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Webstats Solr is an attempt to make Apache Access log easier to Data Mine. By adding a powerful Search Engine (SOLR) as a Backend and using Java Script and HTML and maybe PHP I hope to out date AWStats.
The ProM Import Framework allows to extract process enactment event logs from a set of information systems. These can be exported in the MXML format, which is the standard event log data format for Process Mining analysis techniques.
hypKNOWsys aims at developing a Java-based workbench for knowledge discovery and knowledge management. Currently, hypKNOWsys has released two intermediate tools: DIAsDEM Workbench (text mining for semantic tagging) and WUMprep (Web mining pre-processing)
dragonBot is an IRC-based Wikipedia bot. It's purpose is to aid users and administrators with the sometimes arduous task of mining through user's edit history. This is especially useful for administrators, and anti-vandalism fighters.