USA flag logo/image

An Official Website of the United States Government

Distributed Mining Tool for Large-Scale DOE Science and Technical Information

Award Information

Agency:
Department of Energy
Branch:
N/A
Award ID:
94510
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
91597
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD 20855-2737
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Distributed Mining Tool for Large-Scale DOE Science and Technical Information
Agency: DOE
Contract: DE-FG02-09ER85453
Award Amount: $100,000.00
 

Abstract:

As numerous documents and data sets accumulate in the science and technology area, the analysis of this information for the purpose of facilitating federated research becomes a challenging task. This project will develop efficient and scalable data mining solutions to conduct data integration, anomaly detection, and correlation. The key innovation of the proposed tool, the DSTMiner (Distributed Science and Technology Miner), is the execution of cutting-edge data mining algorithms for documents, topics, and related experiment or benchmark data. These cutting edge algorithms include hierarchical clustering, massive link analysis, association rule mining, anomaly detection, and correlation mining. Commercial Applications and other Benefits as described by the awardee The technology should find application in the analysis of mixed documents and scientific data sets, significantly improving the quality of knowledge access inside the millions of documents and data sets collected by DOE¿s Office of Scientific and Technical Information. In addition, the system could be customized for other related technical information repositories, such as NIH¿s PubMed, US Patent examination, FDA¿s review of pharmaceutical companies, and CDC¿s assessments of healthcare quality and policy impacts

Principal Investigator:

Kaizhi Tang
Dr.
3012945214
ktang@i-a-i.com

Business Contact:

Mark James
Mr.
3012945221
mjames@i-a-i.com
Small Business Information at Submission:

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD 20855

EIN/Tax ID: 521497192
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No