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Intelligent Classification and Clustering Techniques for Text Data Mining

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
52902
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
A002-1399
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2002
Title: Intelligent Classification and Clustering Techniques for Text Data Mining
Agency / Branch: DOD / ARMY
Contract: DAAH01-02-C-R021
Award Amount: $728,340.00
 

Abstract:

"This SBIR effort will develop an integrated information classification anddocument management system, applicable to complex weapons systems software.Currently, software engineers at Army's Tank-automotive & Armaments Commandrely on Software Trouble Reports (STRs) that contain unstructured text describing operational problems filed by soldiers fortroubleshooting of computer-controlled weapons systems.Past STRs and maintenance records provide a valuable source ofinformation that can help software engineers to understand newproblems, identify the faulty modules, and eventually provide valuableguidance on how to fix the problem.The overall objective of the Phase II effort is to develop aprototype Software Report Management System (SRMS) that will automaticallymanage STRs and associated maintenance records,extract useful information from the document archive, and discoverpreviously unknown domain knowledge that will assist maintenance of the system.It will also facilitate focused and accurate search forproblems/solutions/case-studies.To achieve the above objective, we propose to develop advancedclustering, information extraction, and data fusion algorithmsfor the document collection using textual analysis and machine learningtechniques. Such algorithms will be used to group the STRsinto meaningful clusters and extract useful information fromthem to build a knowledge base for software problems. We willthen integrate these algorithms in

Principal Investigator:

Sai-Ming Li
Research Engineer
7819335355
eliot@ssci.com

Business Contact:

Raman Mehra
President/CEO
7819335355
rkm@ssci.com
Small Business Information at Submission:

Scientific Systems Co., Inc.
500 West Cummings Park, Suite 3000 Woburn, MA 01801

EIN/Tax ID: 043053085
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No