Knowledge Discovery and Data Mining
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About the Knowledge Discovery and Data Mining Group (Last updated 01 Jul 2001)

The Laboratory for Knowledge Discovery in Databases (KDD) is a research group in the Computing and Information Sciences (CIS) Department at Kansas State University. Its research emphasis is in the areas of applied artificial intelligence (AI) and knowledge-based software engineering (KBSE) for decision support systems.

More specifically, we are interested in machine learning, data mining and knowledge discovery from large spatial and temporal databases, human-computer intelligent interaction (HCII), and high-performance computation in learning and optimization. In our research, we look for ways to systematically decompose analytical learning problems based upon information theoretic and probabilistic criteria, so that the most appropriate machine learning methods may be applied to the resulting transformed problems.

One of the major challenges in this area is the design of unsupervised learning and bias (or hyperparameter) optimization methods to produce an effective decomposition of learning tasks. An interesting opportunity presented by this problem is that, by addressing the high-level control of inductive learning in a statistically sound fashion, we can improve our techniques for both model selection and model integration (as practiced in multimodal sensor fusion). We have developed and applied such approaches to multistrategy learning, which are potentially computation-intensive, to interesting analytical problems in the areas of decision support (uncertain reasoning) and control automation.

The goal of our work is to gain insight into the interaction between artifacts that adapt or learn - whether by Bayesian, neural, or genetic computation - and their users. Important examples of this interaction include data visualization in intelligent displays, software agents for distributed high-performance computation and information retrieval, and virtual environments for simulation and computer-assisted instruction.

This section is under construction. Check back soon. - [01 Jul 2001]

Databases and Repositories (Last updated 19 Feb 2002)

Databases and repositories that we are currently using:

This section is under construction. Check back soon. - [19 Feb 2002]

Resources Online (Last updated 01 Jul 2001)

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Projects (Last updated 19 Feb 2002)

This section is under construction. Check back soon. - [19 Feb 2002]

Publications (Last updated 01 Jul 2001)

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Work in Progress (Last updated 01 Jul 2001)

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Group Members and Affiliates (Last updated 19 Feb 2002)

Faculty and Affiliates Graduate Students Undergraduate Students Alumni
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Group founded: 30 Jul 1999
Page created: 28 Jun 2001
Last updated: 02 Jul 2001
William H. Hsu