A data mining architecture for distributed environments

Mafruz Z Ashrafi; David Taniar; Kate A Smith

doi:10.1007/3-540-48080-3_3

A data mining architecture for distributed environments

Mafruz Z Ashrafi, David Taniar, Kate A Smith

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

8 Citations (Scopus)

Abstract

Data mining offers tools for the discovery of relationship, patterns and knowledge from a massive database in order to guide decisions about future activities. Applications from various domains have adopted this technique to perform data analysis efficiently. Several issues need to be addressed when such techniques apply on data these are bulk at size and geographically distributed at various sites. In this paper we describe system architecture for a scalable and a portable distributed data mining application. The system contains modules for secure distributed communication, database connectivity, organized data management and efficient data analysis for generating a global mining model. Performance evaluation of the system is also carried out and presented.

Original language	English
Title of host publication	Innovative Internet Computing Systems
Subtitle of host publication	Second International Workshop, IICS 2002 K¨uhlungsborn, Germany, June 20-22, 2002 Proceedings
Editors	Herwig Unger, Thomas Bohme, Armin Mikler
Place of Publication	Berlin Germany
Publisher	Springer
Pages	27-38
Number of pages	12
ISBN (Print)	3540437908
DOIs	https://doi.org/10.1007/3-540-48080-3_3
Publication status	Published - 2002
Event	Innovative Internet Computing Systems Workshop 2002 - Kühlungsborn, Germany Duration: 20 Jun 2002 → 22 Jun 2002 Conference number: 2nd

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	2346
ISSN (Print)	0302-9743

Conference

Conference	Innovative Internet Computing Systems Workshop 2002
Abbreviated title	IICS 2002
Country/Territory	Germany
City	Kühlungsborn
Period	20/06/02 → 22/06/02

Access to Document

10.1007/3-540-48080-3_3

Cite this

Ashrafi, M. Z., Taniar, D., & Smith, K. A. (2002). A data mining architecture for distributed environments. In H. Unger, T. Bohme, & A. Mikler (Eds.), Innovative Internet Computing Systems: Second International Workshop, IICS 2002 K¨uhlungsborn, Germany, June 20-22, 2002 Proceedings (pp. 27-38). (Lecture Notes in Computer Science; Vol. 2346). Springer. https://doi.org/10.1007/3-540-48080-3_3

Ashrafi, Mafruz Z ; Taniar, David ; Smith, Kate A. / A data mining architecture for distributed environments. Innovative Internet Computing Systems: Second International Workshop, IICS 2002 K¨uhlungsborn, Germany, June 20-22, 2002 Proceedings. editor / Herwig Unger ; Thomas Bohme ; Armin Mikler. Berlin Germany : Springer, 2002. pp. 27-38 (Lecture Notes in Computer Science).

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abstract = "Data mining offers tools for the discovery of relationship, patterns and knowledge from a massive database in order to guide decisions about future activities. Applications from various domains have adopted this technique to perform data analysis efficiently. Several issues need to be addressed when such techniques apply on data these are bulk at size and geographically distributed at various sites. In this paper we describe system architecture for a scalable and a portable distributed data mining application. The system contains modules for secure distributed communication, database connectivity, organized data management and efficient data analysis for generating a global mining model. Performance evaluation of the system is also carried out and presented.",

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Ashrafi, MZ, Taniar, D & Smith, KA 2002, A data mining architecture for distributed environments. in H Unger, T Bohme & A Mikler (eds), Innovative Internet Computing Systems: Second International Workshop, IICS 2002 K¨uhlungsborn, Germany, June 20-22, 2002 Proceedings. Lecture Notes in Computer Science, vol. 2346, Springer, Berlin Germany, pp. 27-38, Innovative Internet Computing Systems Workshop 2002, Kühlungsborn, Germany, 20/06/02. https://doi.org/10.1007/3-540-48080-3_3

A data mining architecture for distributed environments. / Ashrafi, Mafruz Z; Taniar, David; Smith, Kate A.
Innovative Internet Computing Systems: Second International Workshop, IICS 2002 K¨uhlungsborn, Germany, June 20-22, 2002 Proceedings. ed. / Herwig Unger; Thomas Bohme; Armin Mikler. Berlin Germany: Springer, 2002. p. 27-38 (Lecture Notes in Computer Science; Vol. 2346).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - Data mining offers tools for the discovery of relationship, patterns and knowledge from a massive database in order to guide decisions about future activities. Applications from various domains have adopted this technique to perform data analysis efficiently. Several issues need to be addressed when such techniques apply on data these are bulk at size and geographically distributed at various sites. In this paper we describe system architecture for a scalable and a portable distributed data mining application. The system contains modules for secure distributed communication, database connectivity, organized data management and efficient data analysis for generating a global mining model. Performance evaluation of the system is also carried out and presented.

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Ashrafi MZ, Taniar D, Smith KA. A data mining architecture for distributed environments. In Unger H, Bohme T, Mikler A, editors, Innovative Internet Computing Systems: Second International Workshop, IICS 2002 K¨uhlungsborn, Germany, June 20-22, 2002 Proceedings. Berlin Germany: Springer. 2002. p. 27-38. (Lecture Notes in Computer Science). doi: 10.1007/3-540-48080-3_3