Mobile user data mining: mining relationship patterns

John Goh; David Taniar

doi:10.1007/11596356_73

Mobile user data mining: mining relationship patterns

John Goh, David Taniar

Department of Software Systems & Cybersecurity

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

2 Citations (Scopus)

Abstract

Mobile user data mining focuses on finding useful and interesting knowledge out from raw data collected from mobile users. Frequency pattern and location dependent mobile user data mining are among the algorithm used in this field. Parallel pattern, our previous proposed method, extracts how a group of mobile users makes similar decisions, such as by moving towards the similar direction, or by viewing similar contents at the same time. Parallel pattern is triggered group behaviour of mobile users. This paper reports our refinement work on parallel pattern which incorporated refinement of the relationships among parallel patterns, or relationship pattern, which shows how 'similarities of decisions' are related to each other. Effects found are such as conditional relationship, where one parallel pattern has to happen before the next one occurs. Other effects includes associative, sequential and loop pattern effects. Our performance evaluation reports how relationship pattern performs in real life dataset and synthetic dataset and discusses some potential implementation issues.

Original language	English
Title of host publication	Embedded and Ubiquitous Computing - International Conference EUC 2005, Proceedings
Pages	735-744
Number of pages	10
DOIs	https://doi.org/10.1007/11596356_73
Publication status	Published - 2005
Event	IEEE/IFIP International Conference on Embedded and Ubiquitous Computing 2005 - Nagasaki, Japan Duration: 6 Dec 2005 → 9 Dec 2005 https://link.springer.com/book/10.1007%2F11596356 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3824 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	IEEE/IFIP International Conference on Embedded and Ubiquitous Computing 2005
Abbreviated title	EUC 2005
Country/Territory	Japan
City	Nagasaki
Period	6/12/05 → 9/12/05
Internet address	https://link.springer.com/book/10.1007%2F11596356 (Proceedings)

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10.1007/11596356_73

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Goh, J., & Taniar, D. (2005). Mobile user data mining: mining relationship patterns. In Embedded and Ubiquitous Computing - International Conference EUC 2005, Proceedings (pp. 735-744). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3824 LNCS). https://doi.org/10.1007/11596356_73

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abstract = "Mobile user data mining focuses on finding useful and interesting knowledge out from raw data collected from mobile users. Frequency pattern and location dependent mobile user data mining are among the algorithm used in this field. Parallel pattern, our previous proposed method, extracts how a group of mobile users makes similar decisions, such as by moving towards the similar direction, or by viewing similar contents at the same time. Parallel pattern is triggered group behaviour of mobile users. This paper reports our refinement work on parallel pattern which incorporated refinement of the relationships among parallel patterns, or relationship pattern, which shows how 'similarities of decisions' are related to each other. Effects found are such as conditional relationship, where one parallel pattern has to happen before the next one occurs. Other effects includes associative, sequential and loop pattern effects. Our performance evaluation reports how relationship pattern performs in real life dataset and synthetic dataset and discusses some potential implementation issues.",

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note = "IEEE/IFIP International Conference on Embedded and Ubiquitous Computing 2005, EUC 2005 ; Conference date: 06-12-2005 Through 09-12-2005",

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Goh, J & Taniar, D 2005, Mobile user data mining: mining relationship patterns. in Embedded and Ubiquitous Computing - International Conference EUC 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3824 LNCS, pp. 735-744, IEEE/IFIP International Conference on Embedded and Ubiquitous Computing 2005, Nagasaki, Japan, 6/12/05. https://doi.org/10.1007/11596356_73

Mobile user data mining : mining relationship patterns. / Goh, John; Taniar, David.

Embedded and Ubiquitous Computing - International Conference EUC 2005, Proceedings. 2005. p. 735-744 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3824 LNCS).

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

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Mobile user data mining: mining relationship patterns

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