Search Results for "apriori algorithm in java"

GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).

----------------- - What is it? - ----------------- The "Falcon Search" is a JAVA API and tool to search inside the documents. It was originally started to search the content in pdf files under the project "HAWK Search". Searching with this tool is query-based not word-based as in most of the document search tools OR document readers. It also takes care of jumbling of words within query and spelling mistakes. Commonly used techniques in this project are Natural Language...

No more support for this project - TAKE A LOOK AT FALCONSEARCH "https://sourceforge.net/projects/falcontextsearch/"

This is a GUI, Java implementation of the Ant Colony Optimisation/Particle Swarm Optimisation (PSO/ACO2) rule induction algorithm. This project was inspired by Ant-Miner, but handles continuous attributes using PSO or now Differential Evolution.

Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.

CRF is a Java implementation of Conditional Random Fields, an algorithm for learning from labeled sequences of examples. It also includes an implementation of Maximum Entropy learning.

BlogTEX is an ad-hoc blog posts extraction algorithm written in Java for TREC Blog08 dataset. It includes an optimized sentence model for clearly identifying sentence boundaries in each blog post. Its output can be customized using its config file.

OpenForecast is a package of general purpose, forecasting models written in Java that can be applied to any data series. No knowledge of forecasting is required. Using this package, the most appropriate algorithm for your data will be selected.

Ex-Crawler is divided into 3 subprojects (Crawler Daemon, distributed gui Client, (web) search engine) which together provide a flexible and powerful search engine supporting distributed computing. More informations: http://ex-crawler.sourceforge.net

Optex Analyzer is a software to analyze and compare algorithms to solve approximately optimization problems. It has a GUI that allows select a set of input files containing raw algorithm results. The analysis is shown with tables and charts.

AlViz is a research prototype for visual ontology alignment implemented as multiple-view plug-in for Protege using J-Trees and Graphs. Based on similarity measures of an ontology matching algorithm AlViz helps to assess and optimize the alignment results

TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.

This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.

Java Randomness Test Suite is a gui application to run randomness tests on random stream resource (file or algorithm). Application can be run in command line. Includes general statistical tests, NIST and DIEHARD tests.

Particle Swarm Optimization toolkit (with GUI) - Allows you to implement PSO algorithm for optimization of engineering/finance/management systems.

A fast, simple method of establishing musical genre of arbitrary compressed audio files calculated by comparisons with training sets. Program currently consists of a java console program. GUI front end, algorithm upgrades to come.

Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.

DEAL (Domain Extraction ALgorithm) is an application for domain analysis. Its main purpose is to extract domain information from existing Java applications and to create different kinds of models from the extracted data, including domain-specific languages.

Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.