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Employing Data Mining to Create an Improved Information Intelligence System

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAE07-01-C-L036
Agency Tracking Number: A002-0925
Amount: $119,990.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2001
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
1660 So. Amphlett Blvd.
San Mateo, CA 94402
United States
DUNS: 608176715
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ronald Braun
 Principal Investigator
 (206) 545-1478
 rbraun@shai-seattle.com
Business Contact
 Melissa Thiemmedh
Title: Lead Accountant
Phone: (650) 655-7242
Email: thiemmedh@shai.com
Research Institution
N/A
Abstract

We propose an innovative combination of text analysis and data mining techniques in the design of an information intelligence-based program management system. By drawing on our extensive experience, we have devised a novel approach to translating free andfield-delineated text into quantitative data suitable for use with a wide range of data mining techniques. In particular, our system (FlexiMiner), will support the application of text preprocessing, term discovery, concept formation, and automated textsegmentation techniques in the encoding of text documents. The resulting quantitative data can take on a variety of forms depending on the goals of the analyst and the available computational resources. FlexiMiner will offer an improved capability toexplore material needs documents and open source R&D abstracts, as well as discover logical linkages between these two sets of information. Finally, the ability to do cross-field pattern discovery and free-text analysis will offer more flexibility thanthat offered by the Technology Opportunities Analysis System. Phase I research and development of a proof-of-concept limited prototype will build on our existing data mining toolkit, IKODA, and lay the groundwork for the Phase II implementation of a fullyfunctional common tool suite for both text and quantitative data mining.The US military is not alone in its need for advanced text mining tools. The proposed system would be very valuable to venture capitalists, medical researchers, and engineering designfirms.

* Information listed above is at the time of submission. *

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