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Data Mining: 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings

1st Edition 2019, 2019

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Data Mining: 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers

1st ed. 2018., 2018

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Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours

Public health nutrition, 2021-04, Vol.24 (6), p.1193-1209

2021

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Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app

Maternal and child nutrition, 2023-04, Vol.19 (2), p.e13482-n/a

2023

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Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index

JMIR mHealth and uHealth, 2017-06, Vol.5 (6), p.e89-e89

2017

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Can an incentive-based intervention increase physical activity and reduce sitting among adults? the ACHIEVE (Active Choices IncEntiVE) feasibility study

The international journal of behavioral nutrition and physical activity, 2017-03, Vol.14 (1), p.35-35, Article 35

2017

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A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program

Journal of medical Internet research, 2016-09, Vol.18 (9), p.e248-e248

2016

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Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study

JMIR mHealth and uHealth, 2018-04, Vol.6 (4), p.e78-e78

2018

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Dynamic swarm class rebalancing for the process mining of rare events

The Journal of supercomputing, 2021-07, Vol.77 (7), p.7549-7583

2021

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Optimizing Preseason Training Loads in Australian Football

International journal of sports physiology and performance, 2018-02, Vol.13 (2), p.1-199

2018

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Preventing obesity in infants: the Growing healthy feasibility trial protocol

BMJ open, 2015-11, Vol.5 (11), p.e009258-e009258

2015

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Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach

Decision Support Systems, 2019-07, Vol.122, p.113065, Article 113065

2019

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Artificial Intelligence and Knowledge Processing: Third International Conference, AIKP 2023, Hyderabad, India, October 6-8, 2023, Revised Selected Papers

1, 2024

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Modeling Training Loads and Injuries: The Dangers of Discretization

Medicine and science in sports and exercise, 2018-11, Vol.50 (11), p.2267-2276

2018

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Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016

AJIS. Australasian journal of information systems, 2017-01, Vol.21

2017

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Framework and Literature Analysis for Crowdsourcing's Answer Aggregation

The Journal of computer information systems, 2020-01, Vol.60 (1), p.49-60

2020

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2Loud?: Community mapping of exposure to traffic noise with mobile phones

Environmental monitoring and assessment, 2014-10, Vol.186 (10), p.6193-6206

2014

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Towards Next Generation Rubrics: An Automated Assignment Feedback System

AJIS. Australasian journal of information systems, 2017-01, Vol.21

2017

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The impacts of an mHealth intervention targeting parents on health service usage and out-of-pocket costs in the first 9 months of life: The Growing healthy app

Maternal and child nutrition, 2024-05, Vol.20 (4), p.e13662-e13662

2024

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A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness

AJIS. Australasian journal of information systems, 2015-01, Vol.19

2015

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Impact of the Growing Healthy mHealth Program on Maternal Feeding Practices, Infant Food Preferences, and Satiety Responsiveness: Quasi-Experimental Study

JMIR mHealth and uHealth, 2018-04, Vol.6 (4), p.e77-e77

2018

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Meta-Heuristic Multi-objective Community Detection Based on Users’ Attributes

Data Mining, p.250-264

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SSC: cloud-based data stream management in distributed environments

International journal of high performance computing and networking, 2016, Vol.9 (3), p.171

2016

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Business Analytics Editorial

AJIS. Australasian journal of information systems, 2015-09, Vol.19

2015

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Agents and stream data mining: a new perspective

IEEE intelligent systems, 2005-05, Vol.20 (3), p.60-67

2005

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Data Mining: 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings

Data Mining: 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers

Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours

Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app

Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index

Can an incentive-based intervention increase physical activity and reduce sitting among adults? the ACHIEVE (Active Choices IncEntiVE) feasibility study

A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program

Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study

Dynamic swarm class rebalancing for the process mining of rare events

Optimizing Preseason Training Loads in Australian Football

Preventing obesity in infants: the Growing healthy feasibility trial protocol

Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach

Artificial Intelligence and Knowledge Processing: Third International Conference, AIKP 2023, Hyderabad, India, October 6-8, 2023, Revised Selected Papers

Modeling Training Loads and Injuries: The Dangers of Discretization

Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016

Framework and Literature Analysis for Crowdsourcing's Answer Aggregation

2Loud?: Community mapping of exposure to traffic noise with mobile phones

Towards Next Generation Rubrics: An Automated Assignment Feedback System

The impacts of an mHealth intervention targeting parents on health service usage and out-of-pocket costs in the first 9 months of life: The Growing healthy app

A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness

Impact of the Growing Healthy mHealth Program on Maternal Feeding Practices, Infant Food Preferences, and Satiety Responsiveness: Quasi-Experimental Study

Meta-Heuristic Multi-objective Community Detection Based on Users’ Attributes

SSC: cloud-based data stream management in distributed environments

Business Analytics Editorial

Agents and stream data mining: a new perspective

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