| Directory > Computers > Software > Databases > Data Mining > Projects and Research SIIT Knowledge Information & Data Management Laboratory
Sirindhorn International Institute of Technology's center of research in knowledge discovery,
information engineering, speech and natural language processing.
http://kind.siit.tu.ac.th/
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Resource Aware Ubiquitous Data Mining Project
Focus on developing a resource-aware ubiquitous data mining system using different algorithmic and
optimization techniques.
http://www.csse.monash.edu.au/~mgaber/main.html
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Information Retrieval and Data Mining (IRDM), SIIT
Information Retrieval and Data Mining research and development of resources for processing very
large scaled information on the internet. A research group of Knowledge Information & Data
Management (KIND) Lab, Sirindhorn International Institute of Technology, Thailand.
http://kind.siit.tu.ac.th/irdm/
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The QUEST Data Mining Group
IBM's QUEST team work on several data mining projects, especially techniques for extracting
associations, classifications, sequential patterns and time sequences. They also provide a free
software tool, DB2 Universal Database and Intelligent Miner, to academic's for educational and
resource purposes. The QUEST team were also responsible for the creation of the paradigm of
Association Rules in 1993.
http://www.almaden.ibm.com/software/quest/
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Bayesian Network Toolkit (BNT)
Windows software and source for construction and reasoning with Bayesian networks from file or
dataset. Includes thesis accompanying the project.
http://ilab.cs.ucsb.edu/BayesNets/BN%20Toolkit/Bayesian%20Network%20Toolkit%20Home%20Page.htm
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National Center for Data Mining (NCDM)
National Center for Data Mining - A national resource for high performance and distributed for
data mining. The center also researches several cutting-edge data mining projects.
http://www.ncdm.uic.edu/
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Xelopes Data Mining Library
The XELOPES library is an open platform-independent and data-source-independent library for
Embedded Data Mining. XELOPES is CWM-compatible, supports the relevant Data Mining standards and
can be combined with all analytical software.
http://www.zsoft.ru
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Data Mining and Bioinformatics Research, University of Sunderland
James Malone is a PhD Researcher at the University of Sunderland. His research encompasses data
mining, AI, Bioinformatics and Proteomics. This site also offers a free Association Rule data
mining tool.
http://www.jamesmalone.freeserve.co.uk
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Center for Data Insight
Comprehensive Data Mining facility where all the elements of the Data Mining process coexist in one
center of excellence. The Center is partnered with the latest vendors of Data Mining products
covering the entire spectrum of the Data Mining process.
http://www.insight.nau.edu/
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Equicom, Inc. Unsupervised Data Clustering
Non-biological intelligence concept based on a matrix reasoning algorithm representing an
intelligent data understanding system. The NBI-algorithm allows for unsupervised hierarchical
multi-dimensional clustering based on hundreds of parameters.
http://www.matrixreasoning.com
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Approximate Query Answering (AQUA)
A project for exploratory data analysis. Through Bell Labs.
http://www.bell-labs.com/project/aqua/
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Machine Learning and Applied Statistics (MLAS)
Group at Microsoft focused on learning from data and data mining. By building software that
automatically learns from data, enable applications that do intelligent tasks such as handwriting
recognition, and help human data analysts explore their data.
http://research.microsoft.com/mlas/
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Geoff Webb's Research
Professor of computing at Deakin University, Burwood, Vic, Australia. Research includes OPUS
(efficient search algorithm for exploring the space of conjunctive rules), Impact Rules (provide
analysis similar to association rules except that the target is a distribution on a numeric value),
Lazy Bayesian Rules, MultiBoosting, Decision tree grafting.
http://www.cm.deakin.edu.au/webb/
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Data Mining Information
Information on KDD applications and systems. Also includes a glossary and success stories.
http://www.lri.fr/iasi/introduction.en.html
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Visual Datamining in Material Research
A project on application of visual datamining in material research. The project uses parallel
coordinates for multivariate visualization.
http://www.geocities.com/anand_palm
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Interactive Visual Overviews of Large Multi-Dimensional Datasets
Exploratory data analysis through machine learning and visualization. Work from AIRL, Dept. of CS,
Iowa State University.
http://www.cs.iastate.edu/~honavar/ailab/projects/eda.html
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Incremental Learning from Distributed Dynamic Data Sources
Algorithmic and systems solutions for knowledge acquisition from distributed data sets. Work from
AIRL, Dept. of CS, Iowa State University.
http://www.cs.iastate.edu/~honavar/ailab/projects/inclearn.html
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Data Mining in Engineering
Group combining modern statistical methods, machine learning, and knowledge of specific application
areas to develop new approaches to data mining. University of Toronto.
http://chem-eng.utoronto.ca/~datamining/index.html
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Data Miners
Data mining or knowledge discovery in databases, is a new research area developing methods and
systems for extracting interesting and useful information from large sets of data. University of
Helsinki.
http://www.cs.Helsinki.FI/research/pmdm/datamining/
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DBMiner and Data Mining Projects
Intelligent database systems research laboratory, Simon Fraser University. Includes downloadable
research theses and publications.
http://db.cs.sfu.ca/
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CRISP-DM
Project developing an industry neutral and tool neutral Data Mining process model. Starting from
the embryonic knowledge discovery processes used in industry today and responding directly to user
requirements.
http://www.crisp-dm.org/
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