Search Results for "mining"

...Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.

Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.

This project aims to provide a wrapper around the SentiWrodnet, a lexical resource for opinion mining. As defined by the authors : SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity. You can find additional information about the creation of SentiWordnet here : http://nmis.isti.cnr.it/sebastiani/Publications/LREC06.pdf sentiWordnet (avilable here : https://drive.google.com/open?

...Objective here is to implement algorithms which should be more efficient than the JDK implementation and also to create a platform for the researchers who works on Data Mining, Encryption algorithms, ect.. to collaborate and contribute to this project.

This is a tool for concern mining which uses a KDM model as input and the output is the same model with annotated concerns. It uses a Concern Library and a modified String Clustering K-means algorithm with Levenshtein metric to cluster the strings.

...WAP detects the following vulnerabilities: - SQL injection using MySQL, PostgreSQL and DB2 DBMS - Reflected cross-site scripting (XSS) - Stored XSS - Remote file inclusion - Local file inclusion - Directory traversal - Source code disclosure - OS command injection - PHP code injection WAP is a static analysis tool that performs taint analysis to detect vulnerabilities, tracking malicious users inputs and checking if they reach calls of sensitive functions. It has a low rate of false positives because has implemented a data mining module to predict false positives when detects vulnerabilities. The output of the tool is: - shows the vulnerabilities found and how they are corrected - new files with the corrections

libVMR is a class library written in Java which implements code generator for group method of data handling - GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR). The library has been designed to learn from data sets. Typical applications here are pattern recognition ( binary classification).

...Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records

...See README file: https://sourceforge.net/projects/asmalgorithm/files/ If you use our ASM implementation to support academic research, please cite the following paper: Haibin Liu, Lawrence Hunter, Vlado Keselj, and Karin Verspoor. Approximate Subgraph Matching-based Literature Mining for Biomedical Events and Relations. PLOS ONE, 8:4 e60954, 2013.

Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.

This library offers an API to useful tools that can be utilized for any text mining project. More details will be mentioned in the project's future documentation

A java tool for anytime and interactive sequence mining. Aims at providing users with a way of analyzing her activity traces and extract activity schemes from them.

The Minervan project aims at aiding intelligent software development. It integrates reporting, analysis and data mining to support better decision making.

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.

Genetic Programming (tree structure) predictor within Weka data mining software for both continuous and classification problems.

Openminer, as a data mining engine, is developed on java for analysis of dataset with the methods of data mining. By making use of openminer, we could discovery the knowledge which interests us but hides in the raw data.

Agent Academy is a Java integrated development framework for creating Intelligent Agents and Multi Agent Systems. Agent Academy seamlessly integrates JADE and WEKA platforms and enables the creation of software agents that use Data Mining models.

KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.

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.

musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.

Centre is a synthetic trajectory generator environment that aim to generate semantic-based trajectory datasets usable for spatio-temporal data-mining algorithms in testing and validation process.

A utility to extract data from RDBMSs and convert into .arff file format required by WEKA data mining tool set, both interactive wizard and batch working modes.

OpenGMP is an open service platform for implementing advanced decision support solutions for the mining enterprise.

Data Mining tools for JPOX.

reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.