data mining
data mining in title
data mining in description
A platform independent open source computational chemistry package written in Java JOELib2 is a Cheminformatics algorithm library, which was designed for graph mining, data mining, prototyping, and of course algorithm development.
JOELib2 has not really a Graphical User Interface (GUI) and should not be used for high-throughput tasks.
Anyway, a primitive 2D rendering and Java3D rendering are also part of this library. Several programming interfaces are provided.
Here are some key features of "JOELib2":
· Chemical expert system and Algorithms
· Structured data Mining
· Atom pair feature
· Clique detection
· Bron-Kerbosch
· DFMax
· Optimal Assignment Kernel (OA) - graph kernel, molecule kernel
· Vectorial data Mining
· (Chemical and biological) feature calculation, e.g. BCUT, RDF, Autocorrelation, LogP, MR, TPSA, ...
· Weka mining interface with molecule support
It provides everything what you need to create any possible reports and data analyses. You can retrieve data from any other Lotus Notes/Domino databases and compare/mix with the data received from SMB iCRM system.
You will have also:
Full access to all database designs with predefined views
Export to Excel agent
Easy to manage and user friendly reporting system
AUGURIUM automates data capture, data mining and data analysis in business, economics, medicine, biology, social sciences and so on. It provides intuitive, easy-to-learn interfaces to input and analyze your data.
AUGURIUM allows you to represent data about your problem area (universe of discourse) in an unified, easy-to-use, visual format and supports many analysis tools including data visualization (graphs, charts, histograms etc), descriptive statistics, statistical analysis and data mining techniques.
Statistical analysis and data mining tools allow to discover new knowlege from data stored in AUGURIUM projects.
AUGURIUM presents a wide range of data cleaning procedures as well.
Lite version allows to process sets up to 60 records.
This software application is a leading open-source data mining solution RapidMiner is the world-wide leading open-source data mining solution due to the combination of its functional range and its leading-edge technologies. Applications of RapidMiner cover a wide range of real-world data mining tasks
Use RapidMiner and explore your data! Simplify the construction of experiments and the evaluation of different approaches. Try to find the best combination of preprocessing and learning steps or let RapidMiner do that automatically for you.
Here are some key features of "RapidMiner":
· freely available open-source knowledge discovery environment
· 100% pure Java (runs on every major platform and operating system)
· KD processes are modeled as simple operator trees which is both intuitive and powerful
· operator trees or subtrees can be saved as building blocks for later re-use
· internal XML representation ensures standardized interchange format of data mining experiments
· simple scripting language allowing for automatic large-scale experiments
· multi-layered data view concept ensures efficient and transparent data handling
· Flexibility in using RapidMiner:
· graphical user interface (GUI) for interactive prototyping
· command line mode (batch mode) for automated large-scale applications
· Java API (application programming interface) to ease usage of RapidMiner from your own programs
· simple plugin and extension mechanisms, a broad variety of plugins already exists and you can easily add your own
· powerful plotting facility offering a large set of sophisticated high-dimensional visualization techniques for data and models
· more than 400 machine learning, evaluation, in- and output, pre- and post-processing, and visualization operators plus numerous meta optimization schemes
· machine learning library WEKA fully integrated (WEKA web page)
· RapidMiner was successfully applied on a wide range of applications where its rapid prototyping abilities demonstrated their usefulness, including text mining, multimedia mining, feature engineering, data stream mining and tracking drifting concepts, development of ensemble methods, and distributed data mining.
DBMyne is a practical tool for decision cube analysis. For decision cube analysis DBMyne needs an input table that contains dimensions and facts in its columns and data to be analyzed in its rows. The input data should be stored in a database. DBMyne supports the following file formats:
* DBase,
* Paradox,
* FoxPro.
DBMyne supports the following database servers:
* MySQL,
* Interbase / Firebird.
DBMyne imports the data to a project file, and creates an internal representation of the data that is optimized for data analyzis. After the data is imported, the data can be visualized in an interactive 3D graph, and can be exported into an Excel or CSV table.
Is your project dragging or flying? Code Metrics provides project-wide reports, graphs, and data-mining drilling down into single-file analyses, visualizations, and historical information. Export data to Excel, HTML, XML, or a database.
Simple and powerful data mining tool. data Odyssey technology allows you extract and analyze data directly from various types of data sources without OLAP, rollup tables, constructing a data warehouse, or even normalizing your tables. We associate data analyzing with flying into a data space. Two mission types, controlled by Gattaca, allow to: select data; create more detailed submissions for separate strings of selected data; create, save and use mission plans; export retrieval results to Excel; build Excel charts...
Dataodyssey Express v1.0.9 release is New Release.
data mining in software introduction
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