Abstract #302078

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JSM 2003 Abstract #302078
Activity Number: 89
Type: Contributed
Date/Time: Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #302078
Title: A Model-Based Approach to Customized Taxonomy Generation
Author(s): Igor Perisic*+ and Christian Posse
Companies: Entopia and Pacific Northwest National Laboratory
Address: 739 Capistrano Way, San Mateo, CA, 94402-2012,
Keywords: taxonomy ; model-based clustering ; knowledge management ; user constraints
Abstract:

Taxonomies are often imposed by either a group of experts or a company. Unfortunately, as a consequence, they are often very foreign to the end user and remain often unused. So, we take the approach of letting an individual decide for himself and automate the necessary tasks for him. In that situation, purely data-driven solutions are bound to fail as they do not take into account user preferences. Model-based clustering techniques have the potential for the necessary compromise between optimal classification and user constraints. In this presentation, we present how to adapt model based clustering techinques to user needs.

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