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Home / Computers / Software / Databases / Data Mining / Projects and Research
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Web Sites
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- AQUA Project - Approximate QUery Answering: a system for exploratory data analysis. Through Bell Labs
www.bell-labs.com/project/aqua
- Bayesian Network Toolkit Homepage - BNT Project Homepage. Windows Software / Source for construction and reasoning with Bayesian Networks from file or dataset. Includes Thesis accompanying the project.
94.parkview-court.net/project
- 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.
insight.cse.nau.edu
- CRISP-DM - The CRISP-DM project is 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.
www.crisp-dm.org
- Data Miners (University of Helsinki) - 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. Data mining methods can be used in a variety of application areas, such as commercial databases, telecommunication alarm sequences, epidemiological data, etc.
www.cs.Helsinki.FI/research/pmdm/datamining
- Data Mining in Engineering at University of Toronto - In the Data Mining in Engineering Group we combine modern statistical methods, machine learning, and knowledge of specific application areas to develop new approaches to data mining.
chem-eng.utoronto.ca/~datamining/index.html
- Data Mining Information - Page for information on KDD applications and KDD systems. Also includes Data Mining glossaries and success stories.
www.lri.fr/iasi/introduction.en.html
- DBMiner and Data Mining Projects - Intelligent Database Systems Research Laboratory, Simon Fraser University. Includes downloadable research theses and publications on Data Mining.
db.cs.sfu.ca
- Equicom, Inc. Unsupervised Data Clustering - Non-biological intelligence concept implemented based on a matrix reasoning algorithm represents an intelligent data understanding system. The NBI-algorithm allows for unsupervised hierarchical multi-dimensional clustering based on hundreds of parameters (variables).
www.matrixreasoning.com
- 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, etc.
www.cm.deakin.edu.au/webb
- 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
www.cs.iastate.edu/~honavar/ailab/projects/inclearn.html
- 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
www.cs.iastate.edu/~honavar/ailab/projects/eda.html
- Machine Learning and Applied Statistics at Microsoft Research - The MLAS group is focused on learning from data and data mining. By building software that automatically learns from data, we enable applications that (1) do intelligent tasks such as handwriting recognition and natural-language processing, and (2) help human data analysts more easily explore and better understand their data.
research.microsoft.com/mlas
- Visual Datamining in Material Research - A project on application of Visual Datamining in Material Research. The project uses Parallel Coordinates for multivariate visualization.
www.geocities.com/anand_palm
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