Web-based data mining for quenching analysis

Aparna Varde, Makiko Takahashi, Mohammed Maniruzzaman, Richard D. Sisson

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationInternational Surface Engineering Congress - Proceedings of the 1st Congress
Pages439-448
Number of pages10
StatePublished - 1 Dec 2003
EventInternational Surface Engineering Congress - Proceedings of the 1st Congress - Colombus, OH, United States
Duration: 7 Oct 200210 Oct 2002

Publication series

NameInternational Surface Engineering Congress - Proceedings of the 1st Congress

Other

OtherInternational Surface Engineering Congress - Proceedings of the 1st Congress
CountryUnited States
CityColombus, OH
Period7/10/0210/10/02

Fingerprint

Data mining
Quenching
Information use
Association rules
Decision support systems
Expert systems
Heat transfer coefficients
Decision making
Cooling
Liquids
Metals
Gases
Temperature
Hot Temperature

Keywords

  • Data Mining
  • Decision Support System Knowledge Discovery in Databases
  • Heat Treating
  • Materials
  • Quenching
  • Web Databases

Cite this

Varde, A., Takahashi, M., Maniruzzaman, M., & Sisson, R. D. (2003). Web-based data mining for quenching analysis. In International Surface Engineering Congress - Proceedings of the 1st Congress (pp. 439-448). (International Surface Engineering Congress - Proceedings of the 1st Congress).
Varde, Aparna ; Takahashi, Makiko ; Maniruzzaman, Mohammed ; Sisson, Richard D. / Web-based data mining for quenching analysis. International Surface Engineering Congress - Proceedings of the 1st Congress. 2003. pp. 439-448 (International Surface Engineering Congress - Proceedings of the 1st Congress).
@inproceedings{9145b0ce0c754da8b18ef9eb82ba1d3a,
title = "Web-based data mining for quenching analysis",
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.",
keywords = "Data Mining, Decision Support System Knowledge Discovery in Databases, Heat Treating, Materials, Quenching, Web Databases",
author = "Aparna Varde and Makiko Takahashi and Mohammed Maniruzzaman and Sisson, {Richard D.}",
year = "2003",
month = "12",
day = "1",
language = "English",
isbn = "0871707810",
series = "International Surface Engineering Congress - Proceedings of the 1st Congress",
pages = "439--448",
booktitle = "International Surface Engineering Congress - Proceedings of the 1st Congress",

}

Varde, A, Takahashi, M, Maniruzzaman, M & Sisson, RD 2003, Web-based data mining for quenching analysis. in International Surface Engineering Congress - Proceedings of the 1st Congress. International Surface Engineering Congress - Proceedings of the 1st Congress, pp. 439-448, International Surface Engineering Congress - Proceedings of the 1st Congress, Colombus, OH, United States, 7/10/02.

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 proceedingConference contributionResearchpeer-review

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

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 -

Varde A, Takahashi M, Maniruzzaman M, Sisson RD. Web-based data mining for quenching analysis. In International Surface Engineering Congress - Proceedings of the 1st Congress. 2003. p. 439-448. (International Surface Engineering Congress - Proceedings of the 1st Congress).