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Data mines the voting record and other actions of Members of the NZ Parliament. Extracts information from the parliament website and stores it in a database. Provides tools to analyse the information, producing statistics and tables about the MPs/parties
KNeTS (Knowledge Elicitation Tools) is a survey tool to create multi-agent models based on local knowledge using pattern analysis to identify rules that are iteratively validated with the informant. The final output is a knowledge-based multi-agent model
KF Checker is a tool for analysing Information Flow properties.
KF Checker infers information flow rules from source code.
The rules obtained in this way are used to create a theory which it then exploited to prove that information flow policies are respected.
LACE means "Lucene Analyzer for CJK (Chinese/Japanese/Korean) & English". It's a simple tokenizer that can handle English-CJK mixed text. Chinese words are handled using a dictionary based method.
LAITOR is a text mining software developed to find co-occurrence of biological entities (gene/protein terms) together with biointeractions and concepts term from customized dictionaries.
LFS.Live is a tool to work with the InSim system of the Live for Speed - Online racing simulator and features an environment that triggers events upon incoming data which makes it possible for every single feature to act upon the data just arrived.
Crawl a LiveJournal-based blog hosting for friends data. LiveJournal is a blog hosting engine that allows its users to list others as friends. This tool can download most of the data about friendship relations between users for later processing.
LM - Report Asistent will be an utility, that helps dataminers, who use LISP-Miner, with writing analytical repostrs. Report Asisten will connect LISP-Miner with MS Word (R) editor.
The Linking Open Drug Data Project (LODD) focuses on linking various sources of drug data available on the Web to answer interesting scientific and business questions.
Regular expressions system with Lisp-styled syntax.
Also this software can be used as a library for embedding lisp-syntax regular expressions in an another programm.
LSG is a Windows application framework designed for visual data integration and based on Microsoft .NET 2.0 and CAB. An admin utility manages LSG apps, modules, events, and services, and a client integrates the modules and provides functionality hooks.
NeuroEvolver is a tool for training and experimenting with one particular kind of recurrent neural networks, namely Long Short-Term Memory networks using an evolutionary learning method.
LT4eL (Language Technology for e-Learning) develops a framework of multilingual language technology tools and semantic web techniques for improving the retrieval and the metadata annotation of learning material.
The LTfLL project will create next-generation support and advisory services to enhance individual and collaborative building of competences and knowledge creation in educational and organizational settings.
Lascer liefert zu einer Menge binär klassifizierter Attribut-Vektoren eine Menge von Regeln zur Beschreibung der Klassen. Die Regeln können auch mathematische Funktionen enthalten, deren Art vorgegeben werden kann.
Lattice Miner is a data mining prototype for creating, visualizing and exploring concept (Galois) lattices. It allows the generation of formal concepts and association rules.
Using Excel 2010 and VBA to create a data reporting tool for Leeds
Excel allows the simple creation of reports and tables, this project is to create an API for the manipulation of Census and other data in such a way that customizable reports and tables can easily be generated for any (and aggregated) geographies from Census and other available data.
Voice stress analysis tool. Sometimes used as an audio lie detector (ie. used for detecting stress in a person's voice to allow for the determination of truthfulness).
This software is a Library for Adaptive Boosting (AdaBoost). It provides a generic framework for the study of the Boosting algorithms. The framework provides the different tasks for boosting: Learning, Validation, Test, Profiling and Performance Analysis