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The Rule Induction Kit for Text (RIKTEXT)
is a complete software package for learning
decision rules from document collections.
Unlike complex
numerical models, these rules are simple, logical combinations of words and phrases that are often
highly predictive.
The rules are induced automatically from data. They readily can be
edited and applied to new data.
RIKTEXT runs under Linux or Windows.
The Text-Miner Software Kit (TMSK)
is a comprehensive software package for predictive text mining. It includes
routines for preprocessing XML-based text documents and provides
implementations of all the key tasks described in the book
Text Mining: Predictive Methods for Analyzing Unstructured Information
published by Springer (2005).
Among these tasks: (a) data preparation including
tokenization, stemming, vectorization, and dictionary compilation (b)
prediction by methods such as naive Bayes and advanced linear models (c)
information retrieval by k-nearest neighbors and document
matching (d) document clustering and (e) information extraction
of named entities. The routines run on any
machine with Java.
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The Rule Induction Kit (RIK)
is a complete software package for
discovering highly compact decision rules from data. Unlike complex
numerical models, these rules are simple, logic rules that are often
highly predictive. For example in a medical application, typical
rules might be high blood pressure or overweight suggest increased
risk of heart attack. The objective is to determine the best set of
rules for prediction and classification, where best is the
smallest number of rules with a near-minimum error.
The rules can be manually
edited if necessary and applied to new data.
RIK also includes options to generate new features as linear combinations of
the original features.
It runs under Linux or Windows.
 Enterprise Data-Miner (EDM) is a comprehensive collection of programs for efficient mining of big data.
Both classical methods and more computationally expensive state-of-the-art
predictive methods are included. The software kit implements the data-mining
techniques presented in
Predictive Data Mining: A Practical Guide
published by Morgan Kaufmann (1998). EDM has programs for (a) data
preparation (b) data reduction or sampling and (c) prediction.
They run under
Windows, Linux, Unix,
and
Java.
A demonstration applet showcased on Sun's JavaReel Site can be seen locally.
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