Characterizing problem gamblers in New Zealand: a novel expression of process cubes

Suriadi Suriadi; Teo Susnjak; Agate M. Ponder-Sutton; Paul A. Watters; Christoph Schumacher

Characterizing problem gamblers in New Zealand: a novel expression of process cubes

Suriadi Suriadi, Teo Susnjak, Agate M. Ponder-Sutton, Paul A. Watters, Christoph Schumacher

Research output: Contribution to journal › Conference paper › peer-review

Abstract

This paper reports on the challenges and lessons learned from our case study which uniquely integrates a mixture of process mining, data mining, and confirmatory statistical techniques to explore and characterize the variations in gambling behaviours exhibited by gamblers in New Zealand. We demonstrate how we weaved techniques from these three disciplines to understand the variety of behaviours exhibited by gamblers, and to provide assurances of the correctness of our results. This case study also demonstrates how such a combination of techniques provides a rich set of tools to undertake an exploratory data analysis project that is guided by the process cube concept.

Original language	English
Pages (from-to)	185-192
Number of pages	8
Journal	CEUR Workshop Proceedings
Volume	1612
Publication status	Published - 2016
Externally published	Yes
Event	CAiSE Forum, CAiSE-Forum 2016, at the 28th International Conference on Advanced Information Systems Engineering, CAiSE 2016 - Ljubljana, Slovenia Duration: 13 Jun 2016 → 17 Jun 2016

Keywords

Data mining
Problem gamblers
Process mining
Statistics

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http://ceur-ws.org/Vol-1612/paper24.pdf

Cite this

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title = "Characterizing problem gamblers in New Zealand: a novel expression of process cubes",

abstract = "This paper reports on the challenges and lessons learned from our case study which uniquely integrates a mixture of process mining, data mining, and confirmatory statistical techniques to explore and characterize the variations in gambling behaviours exhibited by gamblers in New Zealand. We demonstrate how we weaved techniques from these three disciplines to understand the variety of behaviours exhibited by gamblers, and to provide assurances of the correctness of our results. This case study also demonstrates how such a combination of techniques provides a rich set of tools to undertake an exploratory data analysis project that is guided by the process cube concept.",

keywords = "Data mining, Problem gamblers, Process mining, Statistics",

author = "Suriadi Suriadi and Teo Susnjak and Ponder-Sutton, {Agate M.} and Watters, {Paul A.} and Christoph Schumacher",

year = "2016",

language = "English",

volume = "1612",

pages = "185--192",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "RWTH Aachen University",

note = "CAiSE Forum, CAiSE-Forum 2016, at the 28th International Conference on Advanced Information Systems Engineering, CAiSE 2016 ; Conference date: 13-06-2016 Through 17-06-2016",

}

TY - JOUR

T1 - Characterizing problem gamblers in New Zealand

T2 - CAiSE Forum, CAiSE-Forum 2016, at the 28th International Conference on Advanced Information Systems Engineering, CAiSE 2016

AU - Suriadi, Suriadi

AU - Susnjak, Teo

AU - Ponder-Sutton, Agate M.

AU - Watters, Paul A.

AU - Schumacher, Christoph

PY - 2016

Y1 - 2016

N2 - This paper reports on the challenges and lessons learned from our case study which uniquely integrates a mixture of process mining, data mining, and confirmatory statistical techniques to explore and characterize the variations in gambling behaviours exhibited by gamblers in New Zealand. We demonstrate how we weaved techniques from these three disciplines to understand the variety of behaviours exhibited by gamblers, and to provide assurances of the correctness of our results. This case study also demonstrates how such a combination of techniques provides a rich set of tools to undertake an exploratory data analysis project that is guided by the process cube concept.

AB - This paper reports on the challenges and lessons learned from our case study which uniquely integrates a mixture of process mining, data mining, and confirmatory statistical techniques to explore and characterize the variations in gambling behaviours exhibited by gamblers in New Zealand. We demonstrate how we weaved techniques from these three disciplines to understand the variety of behaviours exhibited by gamblers, and to provide assurances of the correctness of our results. This case study also demonstrates how such a combination of techniques provides a rich set of tools to undertake an exploratory data analysis project that is guided by the process cube concept.

KW - Data mining

KW - Problem gamblers

KW - Process mining

KW - Statistics

UR - http://www.scopus.com/inward/record.url?scp=84977569763&partnerID=8YFLogxK

M3 - Conference paper

AN - SCOPUS:84977569763

SN - 1613-0073

VL - 1612

SP - 185

EP - 192

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 13 June 2016 through 17 June 2016

ER -

Characterizing problem gamblers in New Zealand: a novel expression of process cubes

Abstract

Keywords

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