Open Mobile Miner: A Toolkit for Building Situation-Aware Data Mining Applications

Pari Delir Haghighi; Shonali Krishnaswamy; Arkady Zaslavsky; Mohamed Medhat Gaber; Abhijat Sinha; Brett Gillick

doi:10.1080/10919392.2013.807713

Open Mobile Miner: A Toolkit for Building Situation-Aware Data Mining Applications

Pari Delir Haghighi, Shonali Krishnaswamy, Arkady Zaslavsky, Mohamed Medhat Gaber, Abhijat Sinha, Brett Gillick

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Original language	English
Pages (from-to)	224-248
Number of pages	25
Journal	Journal of Organizational Computing and Electronic Commerce
Volume	23
Issue number	3
DOIs	https://doi.org/10.1080/10919392.2013.807713
Publication status	Published (VoR) - Jul 2013

Funding

Pari Delir Haghighi is a lecturer in the Faculty of Information Technology, Monash University, Australia. She was awarded a Ph.D. degree from Monash University in 2010. During her study, she was awarded three scholarships: the Monash Graduate Scholarship, the Sir John Monash Dean’s Scholar’s award for Honours study, and the Australian Postgraduate Award to study the Graduate Certificate in Commercialization Research from Monash University. She has served as a conference program committee member, reviewer for journal articles and book chapters, and she is the guest editor for the upcoming special issue on Mobile Decision Support Systems in the Journal of Decision Systems. Her current research interests include context-and situation-aware computing, decision support systems for emergency management, and mobile health care. Shonali Krishnaswamy is the Deputy Head of the Data Mining Department at the Institute for Infocomm Research (I2R), Singapore, and an Associate Professor in the Faculty of Information Technology at Monash University, Australia. Her research interests include data stream mining in mobile/embedded environments, and distributed and large-scale data mining, with an emerging interest in mobile crowd sensing and mobile activity recognition. In 2011, Shonali was part of every team that won all of the four challenge tasks in the EU OPPORTUNITY Activity Recognition Challenge. She has authored more than 150 research publications and has received such awards as Monash University Vice-Chancellor’s Award for Excellence in Research by an Early Career Researcher, IBM Innovation Award (UIMA), Faculty of Information Technology Early Career Researcher Award, and an Australian PostDoctoral Fellowship from the Australian Research Council.

Keywords

adaptation model
context awareness
data stream mining
e-commerce applications
mobile computing
ubiquitous computing

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10.1080/10919392.2013.807713

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title = "Open Mobile Miner: A Toolkit for Building Situation-Aware Data Mining Applications",

keywords = "adaptation model, context awareness, data stream mining, e-commerce applications, mobile computing, ubiquitous computing",

author = "Haghighi, \{Pari Delir\} and Shonali Krishnaswamy and Arkady Zaslavsky and Gaber, \{Mohamed Medhat\} and Abhijat Sinha and Brett Gillick",

note = "Funding Information: Pari Delir Haghighi is a lecturer in the Faculty of Information Technology, Monash University, Australia. She was awarded a Ph.D. degree from Monash University in 2010. During her study, she was awarded three scholarships: the Monash Graduate Scholarship, the Sir John Monash Dean{\textquoteright}s Scholar{\textquoteright}s award for Honours study, and the Australian Postgraduate Award to study the Graduate Certificate in Commercialization Research from Monash University. She has served as a conference program committee member, reviewer for journal articles and book chapters, and she is the guest editor for the upcoming special issue on Mobile Decision Support Systems in the Journal of Decision Systems. Her current research interests include context-and situation-aware computing, decision support systems for emergency management, and mobile health care. Funding Information: Shonali Krishnaswamy is the Deputy Head of the Data Mining Department at the Institute for Infocomm Research (I2R), Singapore, and an Associate Professor in the Faculty of Information Technology at Monash University, Australia. Her research interests include data stream mining in mobile/embedded environments, and distributed and large-scale data mining, with an emerging interest in mobile crowd sensing and mobile activity recognition. In 2011, Shonali was part of every team that won all of the four challenge tasks in the EU OPPORTUNITY Activity Recognition Challenge. She has authored more than 150 research publications and has received such awards as Monash University Vice-Chancellor{\textquoteright}s Award for Excellence in Research by an Early Career Researcher, IBM Innovation Award (UIMA), Faculty of Information Technology Early Career Researcher Award, and an Australian PostDoctoral Fellowship from the Australian Research Council.",

year = "2013",

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doi = "10.1080/10919392.2013.807713",

language = "English",

volume = "23",

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T2 - A Toolkit for Building Situation-Aware Data Mining Applications

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AU - Zaslavsky, Arkady

AU - Gaber, Mohamed Medhat

AU - Sinha, Abhijat

AU - Gillick, Brett

N1 - Funding Information: Pari Delir Haghighi is a lecturer in the Faculty of Information Technology, Monash University, Australia. She was awarded a Ph.D. degree from Monash University in 2010. During her study, she was awarded three scholarships: the Monash Graduate Scholarship, the Sir John Monash Dean’s Scholar’s award for Honours study, and the Australian Postgraduate Award to study the Graduate Certificate in Commercialization Research from Monash University. She has served as a conference program committee member, reviewer for journal articles and book chapters, and she is the guest editor for the upcoming special issue on Mobile Decision Support Systems in the Journal of Decision Systems. Her current research interests include context-and situation-aware computing, decision support systems for emergency management, and mobile health care. Funding Information: Shonali Krishnaswamy is the Deputy Head of the Data Mining Department at the Institute for Infocomm Research (I2R), Singapore, and an Associate Professor in the Faculty of Information Technology at Monash University, Australia. Her research interests include data stream mining in mobile/embedded environments, and distributed and large-scale data mining, with an emerging interest in mobile crowd sensing and mobile activity recognition. In 2011, Shonali was part of every team that won all of the four challenge tasks in the EU OPPORTUNITY Activity Recognition Challenge. She has authored more than 150 research publications and has received such awards as Monash University Vice-Chancellor’s Award for Excellence in Research by an Early Career Researcher, IBM Innovation Award (UIMA), Faculty of Information Technology Early Career Researcher Award, and an Australian PostDoctoral Fellowship from the Australian Research Council.

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KW - adaptation model

KW - context awareness

KW - data stream mining

KW - e-commerce applications

KW - mobile computing

KW - ubiquitous computing

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Open Mobile Miner: A Toolkit for Building Situation-Aware Data Mining Applications

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