Save your team 10s of hours/week with a fully personalized and automated procurement process.
ProcureDesk is an integrated purchasing and invoicing platform tailored to help small to medium sized businesses streamline their procurement processes. This user-friendly system automates workflows and consolidates purchasing data into a centralized dashboard, allowing companies to control spending and enhance transparency efficiently. Features like automated invoice matching, simple requisition creation, and immediate cash flow insights minimize manual tasks and boost operational efficiency. ProcureDesk is perfect for smaller enterprises leveraging big-business strategies to reduce costs and optimize their purchasing activities. Discover how ProcureDesk can transform your procurement process into a more effective and manageable part of your business.
MuSE-CIR is a Multigram-based Search Engine and Collaborative Information Retrieval system. Written in Java /JSP, supports any JDBC connectable database - thoroughly tested only with OracleXE, and somewhat with MySQL, JSP on Apache Tomcat 5.5
Excel to Arff converter. You can easily convert the excel datas will be used data mining process to arff file format and then easily analyze your datas and results using WEKA Data Mining Utility.
Dataset Retrieval through Intelligent Agents (DARIA): is an Open Source project for facilitating the construction of ARFF data set files for use with WEKA or any such Machine Learning/Data Mining Software through the use of Intelligent Agents.
For small to mid-sized landlords and property managers
Innago is a free and easy-to-use property management solution. Whether you have 1 unit or 1000, student housing, or commercial properties, Innago is built for you. Our software is designed to save you time and money, so you can spend more time doing the things that matter most.
The Decision Tree Learning algorithm ID3 extended with pre-pruning for WEKA, the free open-source Java API for Machine Learning. It achieves better accuracy than WEKA's ID3, which lacks pre-pruning.Info: http://bruno-wp.blogspot.com/search/label/Softwar
A discretization algorithm based on the Minimum Description Length. Implemented as a filter according to the standards and interfaces of WEKA, the Java API for Machine Learning. More Info: http://bruno-wp.blogspot.com/search/label/Software
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/.
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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.
AstroWeka is a set of extentions to Weka, a popular data mining program, which which allows it to work directly with astronomical data in the Virtual Observatory.
Weka-CG is a comprehensive data mining software package for human genetics. It is an extension of the open-source, JAVA-based, Weka data mining package.
JUDGE (Java Utility for Document Genre Eduction) features automatic classification and clustering of documents, optionally as a webservice.
The program is written entirely in Java and makes use of the Weka machine learning toolkit.
AA DataMiner is a Java library, based on the Weka API for knowledge analysis. It provides graphical tools for applying data mining techniques on XML data, enabling output in PMML format. It also introduces several new data mining techniques.
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.
Weka-Parallel is a modification to Weka, created with the intention of being able to harness the power of Weka and the speed of parallel processing to be able to run a number of data mining and machine learning algorithms quickly.
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.
ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are:
1. object design
2. portability (Linux and Windows support at least)
3. high performance
4. support for common data file formats, like CSV, ARFF (Weka), etc.