Search Results for "data mining"
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Showing 27 open source projects for "data mining"
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ProM is the comprehensive, extensible framework for process mining. Process Mining deals with the a-posteriori analysis of (business) processes using enactment logs.
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OmicSelector
Feature selection and deep learning modeling for omic biomarker study
OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant... -
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ADaMSoft
Open Source and data mining software
ADaMSoft is a free and Open Source Data Mining software developed in Java. It contains data management methods and it can create ready to use reports. It can read data from several sources and it can write the results in different formats. -
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EasyKost
First collaborative SaaS software for cost estimating and data mining.
Improve design-to-cost and time-to-market performance, create operating synergy between the various jobs and functions, streamline and professionalize the costing and quotation activities. easyKost makes it possible to determine the cost of new products or services in a matter of seconds by exploiting the richness of your data without any expert knowledge of industrial technologies and processes. Immediately accessible to everyone It is no longer necessary to be an expert and to... -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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TEXT2DATA
Text Analytics Platform
Bring Text Analytics Platform that uses NLP (Natural Language Processing) and Machine Learning to your work environment. Extract essential information from your text documents and let Artificial Intelligence save your time. Get detailed and agile reports on your unstructured data. -
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DSTK - Data Science TooKit 3
Data and Text Mining Software for Everyone
DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and algorithms. It is based on the old version DSTK at https://sourceforge.net/projects/dstk2/ DSTK Engine is like R. -
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Al-Kashi
PHP package for statistical functions
We aim in Al-Kashi project to provide a rich PHP package full of statistical functions useful for online business intelligent and data mining, possible applications may include an online log file analysis, Ad's and Campaign statistics, or survey/voting results on-fly analysis. -
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QAL
Query Abstraction Layer
Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. -
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freeDatamap
FreeDatamap spatializes the map of your organization’s data.
...FreeDatamap delivers a fast and visually attractive user interface that runs on any support: computers, tablets or phones. Features list : • Unlimited users : full web 2.0 application • Data visualization : one centralized trusted map for all your data • Workflow and business process visualization • Search capabilities • Report creation • Advanced analytics • Data mining • Dashboard, gauges, alerts -
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Cenobi
cost estimation and management accounting, using neural networks
Cenobi is designed for management accountants, not (only) for statisticians and data mining experts. Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to reflect the non-linear cost-behavior, that occurs in most business processes... -
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giServer
giServer the easy to use and extensible batch and integration server
...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 -
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BINow
Data mining complete solutión.
Plataforma de explotación de datos multidimensional que permite extraer datos y ofrecerlos a diferentes niveles de usuarios empresariales y aplicaciones con alta disponibilidad y alta velocidad de acceso a los mismos. -
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PL-DAS
Port Logistics Data Analysis System using Process Mining
This project is for analyzing operational data from container terminal, applying process mining and port logistics domain knowledge. This project is found by Total Soft Bank, Ltd. and Busan National University, based on ProM framework (http://www.promtools.org) which is also an open source project. This project is sponsored by NIPA (National IT Industry Promotion Agency), Korea. -
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Yet Another Data Mining Platform
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The name of this project is DuruBI. It is Enterprise Reporting Tool allows DB(Data Base) and OLAP(Online analytical processing) and DM(Data Mining) to query and reporting from various data sources.
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Stochastico is an implementation of stochastic discrimination for pattern recognition, predictive modeling and data mining applications.
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Our goal is to develop a data mining platform for CRM. It is Java-based and conforms to JDM (JSR-73) standard. The first stage is a tool named multiobjective market segmentation using evolutinoary algorithms (MMSEA)
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Data mining tool for sequences (e.g. trajectories on a map, visited web pages, etc.) that creates a succinct description of the sequences, given a taxonomy (e.g. regions and sub-regions in the map, categories and sub-categories of pages, etc.).
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System for Web usage mining and data warehouse: it allows the discovery of knowledge from data (KDD) regarding users' usage on the Web (such as unique visitors, sessions, transactions) and organise it in a RDBMS (currently PostgreSQL). Written in C++.
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A group a subprojects for Data Cleaning projects, mainly as a step of a Data Mining Project. Visit www.datacleaningopensource.com to review our current applications or if you want to add yours. NOTE: PROGRAMMING SKILLS ARE REQUIRED.
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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.
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MiningMart is a graphical tool for transforming data from relational databases. It provides two dual graphical views on the transformations, a data view and a process view. The focus is on the preparation of data for data mining.
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We have develop data mining 'Plug and Play' WYSIWYG Tool on commercial ERP Baan IVc4 which uses Baan 4 GL as extract and transform engine and MS excel as load client . For more information about the tool and the company , please visit www.erpjewels.com
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AlphaMiner is an open source data mining platform that offers versatile data mining model building and data cleansing features with an user friendly workflow interface.
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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.
