Abstract
A Web-based Data Mining tool called QuenchMiner™ is being developed for the analysis of quenching data obtained from CHTE at WPI. QuenchMiner is incremental to QuenchPAD™, the existing Database System supporting the CHTE Quench Probe System. QuenchPAD™stores experimental temperature-time data for metal probes quenched in liquid and gas based quenchants. The data is used to compute cooling rates and heat transfer coefficients. QuenchMiner™is a user-friendly tool for querying and analysis. In addition to providing the features of QuenchPAD™ on the Web for worldwide access, QuenchMiner™ does decision making based on case studies and pragmatic knowledge. It utilizes the principles of Data Mining and Knowledge Discovery in Databases (KDD) for this purpose. It uses information from complex data types like graphs, pictures and tables, in addition to simple relational data types. It builds a Knowledge Base of Association Rules and paths for action. It computes suggested decisions in response to the user's scenarios in quenching. QuenchMiner™ provides at-a-glance information for quick and easy analysis, and serves as a Decision Support System (DSS) in heat treating at CHTE. It sets the stage for an Expert System.
Original language | English |
---|---|
Title of host publication | International Surface Engineering Congress - Proceedings of the 1st Congress |
Pages | 439-448 |
Number of pages | 10 |
State | Published - 1 Dec 2003 |
Event | International Surface Engineering Congress - Proceedings of the 1st Congress - Colombus, OH, United States Duration: 7 Oct 2002 → 10 Oct 2002 |
Publication series
Name | International Surface Engineering Congress - Proceedings of the 1st Congress |
---|
Other
Other | International Surface Engineering Congress - Proceedings of the 1st Congress |
---|---|
Country | United States |
City | Colombus, OH |
Period | 7/10/02 → 10/10/02 |
Fingerprint
Keywords
- Data Mining
- Decision Support System Knowledge Discovery in Databases
- Heat Treating
- Materials
- Quenching
- Web Databases
Cite this
}
Web-based data mining for quenching analysis. / Varde, Aparna; Takahashi, Makiko; Maniruzzaman, Mohammed; Sisson, Richard D.
International Surface Engineering Congress - Proceedings of the 1st Congress. 2003. p. 439-448 (International Surface Engineering Congress - Proceedings of the 1st Congress).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Web-based data mining for quenching analysis
AU - Varde, Aparna
AU - Takahashi, Makiko
AU - Maniruzzaman, Mohammed
AU - Sisson, Richard D.
PY - 2003/12/1
Y1 - 2003/12/1
N2 - A Web-based Data Mining tool called QuenchMiner™ is being developed for the analysis of quenching data obtained from CHTE at WPI. QuenchMiner is incremental to QuenchPAD™, the existing Database System supporting the CHTE Quench Probe System. QuenchPAD™stores experimental temperature-time data for metal probes quenched in liquid and gas based quenchants. The data is used to compute cooling rates and heat transfer coefficients. QuenchMiner™is a user-friendly tool for querying and analysis. In addition to providing the features of QuenchPAD™ on the Web for worldwide access, QuenchMiner™ does decision making based on case studies and pragmatic knowledge. It utilizes the principles of Data Mining and Knowledge Discovery in Databases (KDD) for this purpose. It uses information from complex data types like graphs, pictures and tables, in addition to simple relational data types. It builds a Knowledge Base of Association Rules and paths for action. It computes suggested decisions in response to the user's scenarios in quenching. QuenchMiner™ provides at-a-glance information for quick and easy analysis, and serves as a Decision Support System (DSS) in heat treating at CHTE. It sets the stage for an Expert System.
AB - A Web-based Data Mining tool called QuenchMiner™ is being developed for the analysis of quenching data obtained from CHTE at WPI. QuenchMiner is incremental to QuenchPAD™, the existing Database System supporting the CHTE Quench Probe System. QuenchPAD™stores experimental temperature-time data for metal probes quenched in liquid and gas based quenchants. The data is used to compute cooling rates and heat transfer coefficients. QuenchMiner™is a user-friendly tool for querying and analysis. In addition to providing the features of QuenchPAD™ on the Web for worldwide access, QuenchMiner™ does decision making based on case studies and pragmatic knowledge. It utilizes the principles of Data Mining and Knowledge Discovery in Databases (KDD) for this purpose. It uses information from complex data types like graphs, pictures and tables, in addition to simple relational data types. It builds a Knowledge Base of Association Rules and paths for action. It computes suggested decisions in response to the user's scenarios in quenching. QuenchMiner™ provides at-a-glance information for quick and easy analysis, and serves as a Decision Support System (DSS) in heat treating at CHTE. It sets the stage for an Expert System.
KW - Data Mining
KW - Decision Support System Knowledge Discovery in Databases
KW - Heat Treating
KW - Materials
KW - Quenching
KW - Web Databases
UR - http://www.scopus.com/inward/record.url?scp=11144271990&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:11144271990
SN - 0871707810
SN - 9780871707819
T3 - International Surface Engineering Congress - Proceedings of the 1st Congress
SP - 439
EP - 448
BT - International Surface Engineering Congress - Proceedings of the 1st Congress
ER -