Mining emerging patterns of PIU from computer-mediated interaction events

Yaxin Yu; Ke Yan; Xinhua Zhu; Guoren Wang; Dan Luo; Suresh Sood

doi:10.1007/978-3-642-55192-5_6

Mining emerging patterns of PIU from computer-mediated interaction events

Yaxin Yu^*
, Ke Yan
, Xinhua Zhu
, Guoren Wang
, Dan Luo
, Suresh Sood

^*Corresponding author for this work

Northeastern University China
University of Technology Sydney

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

1 Citation (Scopus)

Abstract

It has been almost 20 years since Internet services became an integral part of our lives. Especially recent popularization of SNS (Social Network Services) such as Facebook, more and more people are attracted to Internet. Internet provides many benefits to people, but yields a consequent disturbing phenomenon of obsession with Internet, which is called PIU (Pathological Internet Use) or IAD (Internet Addiction Disorder) in academia. PIU or IAD has negative effects on people's health of mind and body, therefore, it is necessary to detect PIU. Among tools of surfing Internet, since computer is the most widely interactive media, it is significant to mine PIU emerging patterns from human-computer interaction events. As a result, an emerging pattern mining method based on interactive event generators, called PIU-Miner, is proposed in this paper. Experimental results show that PIU-Miner is an efficient and effective approach to discovering PIU.

Original language	English
Title of host publication	Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Revised Selected Papers
Publisher	Springer Verlag
Pages	66-78
Number of pages	13
ISBN (Print)	9783642551918
DOIs	https://doi.org/10.1007/978-3-642-55192-5_6
Publication status	Published - 2014
Externally published	Yes
Event	9th International Workshop on Agents and Data Mining Interaction, ADMI 2013 - Saint Paul, MN, United States Duration: 6 May 2013 → 7 May 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8316 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Workshop on Agents and Data Mining Interaction, ADMI 2013
Country/Territory	United States
City	Saint Paul, MN
Period	6/05/13 → 7/05/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Complex event
Computer-mediated interaction
Emerging pattern
Generator
PIU

Access to Document

10.1007/978-3-642-55192-5_6

Cite this

Yu, Y., Yan, K., Zhu, X., Wang, G., Luo, D., & Sood, S. (2014). Mining emerging patterns of PIU from computer-mediated interaction events. In Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Revised Selected Papers (pp. 66-78). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8316 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-642-55192-5_6

Yu, Yaxin ; Yan, Ke ; Zhu, Xinhua et al. / Mining emerging patterns of PIU from computer-mediated interaction events. Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Revised Selected Papers. Springer Verlag, 2014. pp. 66-78 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{aa9e0407f8c34f8badf46ce9e3e41897,

title = "Mining emerging patterns of PIU from computer-mediated interaction events",

abstract = "It has been almost 20 years since Internet services became an integral part of our lives. Especially recent popularization of SNS (Social Network Services) such as Facebook, more and more people are attracted to Internet. Internet provides many benefits to people, but yields a consequent disturbing phenomenon of obsession with Internet, which is called PIU (Pathological Internet Use) or IAD (Internet Addiction Disorder) in academia. PIU or IAD has negative effects on people's health of mind and body, therefore, it is necessary to detect PIU. Among tools of surfing Internet, since computer is the most widely interactive media, it is significant to mine PIU emerging patterns from human-computer interaction events. As a result, an emerging pattern mining method based on interactive event generators, called PIU-Miner, is proposed in this paper. Experimental results show that PIU-Miner is an efficient and effective approach to discovering PIU.",

keywords = "Complex event, Computer-mediated interaction, Emerging pattern, Generator, PIU",

author = "Yaxin Yu and Ke Yan and Xinhua Zhu and Guoren Wang and Dan Luo and Suresh Sood",

year = "2014",

doi = "10.1007/978-3-642-55192-5\_6",

language = "English",

isbn = "9783642551918",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "66--78",

booktitle = "Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Revised Selected Papers",

address = "Germany",

note = "9th International Workshop on Agents and Data Mining Interaction, ADMI 2013 ; Conference date: 06-05-2013 Through 07-05-2013",

}

Yu, Y, Yan, K, Zhu, X, Wang, G, Luo, D & Sood, S 2014, Mining emerging patterns of PIU from computer-mediated interaction events. in Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8316 LNAI, Springer Verlag, pp. 66-78, 9th International Workshop on Agents and Data Mining Interaction, ADMI 2013, Saint Paul, MN, United States, 6/05/13. https://doi.org/10.1007/978-3-642-55192-5_6

Mining emerging patterns of PIU from computer-mediated interaction events. / Yu, Yaxin; Yan, Ke; Zhu, Xinhua et al.
Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Revised Selected Papers. Springer Verlag, 2014. p. 66-78 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8316 LNAI).

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

TY - GEN

T1 - Mining emerging patterns of PIU from computer-mediated interaction events

AU - Yu, Yaxin

AU - Yan, Ke

AU - Zhu, Xinhua

AU - Wang, Guoren

AU - Luo, Dan

AU - Sood, Suresh

PY - 2014

Y1 - 2014

N2 - It has been almost 20 years since Internet services became an integral part of our lives. Especially recent popularization of SNS (Social Network Services) such as Facebook, more and more people are attracted to Internet. Internet provides many benefits to people, but yields a consequent disturbing phenomenon of obsession with Internet, which is called PIU (Pathological Internet Use) or IAD (Internet Addiction Disorder) in academia. PIU or IAD has negative effects on people's health of mind and body, therefore, it is necessary to detect PIU. Among tools of surfing Internet, since computer is the most widely interactive media, it is significant to mine PIU emerging patterns from human-computer interaction events. As a result, an emerging pattern mining method based on interactive event generators, called PIU-Miner, is proposed in this paper. Experimental results show that PIU-Miner is an efficient and effective approach to discovering PIU.

AB - It has been almost 20 years since Internet services became an integral part of our lives. Especially recent popularization of SNS (Social Network Services) such as Facebook, more and more people are attracted to Internet. Internet provides many benefits to people, but yields a consequent disturbing phenomenon of obsession with Internet, which is called PIU (Pathological Internet Use) or IAD (Internet Addiction Disorder) in academia. PIU or IAD has negative effects on people's health of mind and body, therefore, it is necessary to detect PIU. Among tools of surfing Internet, since computer is the most widely interactive media, it is significant to mine PIU emerging patterns from human-computer interaction events. As a result, an emerging pattern mining method based on interactive event generators, called PIU-Miner, is proposed in this paper. Experimental results show that PIU-Miner is an efficient and effective approach to discovering PIU.

KW - Complex event

KW - Computer-mediated interaction

KW - Emerging pattern

KW - Generator

KW - PIU

UR - https://www.scopus.com/pages/publications/84901650936

U2 - 10.1007/978-3-642-55192-5_6

DO - 10.1007/978-3-642-55192-5_6

M3 - Conference contribution

AN - SCOPUS:84901650936

SN - 9783642551918

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 66

EP - 78

BT - Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Revised Selected Papers

PB - Springer Verlag

T2 - 9th International Workshop on Agents and Data Mining Interaction, ADMI 2013

Y2 - 6 May 2013 through 7 May 2013

ER -

Yu Y, Yan K, Zhu X, Wang G, Luo D, Sood S. Mining emerging patterns of PIU from computer-mediated interaction events. In Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Revised Selected Papers. Springer Verlag. 2014. p. 66-78. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-55192-5_6

Mining emerging patterns of PIU from computer-mediated interaction events

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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