ausdm.org

AusDM: The Australasian Data Mining Conference

The Australasian Data Mining Conference. AusDM 2015 will be held in Sydney in August, co-located with the premier international data mining conference, KDD 2015. The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners. The Conference series began in 2002 as a Workshop an...

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AusDM: The Australasian Data Mining Conference | ausdm.org Reviews

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The Australasian Data Mining Conference. AusDM 2015 will be held in Sydney in August, co-located with the premier international data mining conference, KDD 2015. The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners. The Conference series began in 2002 as a Workshop an...

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AusDM: The Australasian Data Mining Conference | ausdm.org Reviews

https://ausdm.org

The Australasian Data Mining Conference. AusDM 2015 will be held in Sydney in August, co-located with the premier international data mining conference, KDD 2015. The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners. The Conference series began in 2002 as a Workshop an...

SUBDOMAINS

ausdm14.ausdm.org

AusDM14

The Twelfth Australasian Data Mining Conference. Queensland University of Technology, Gardens Point, Brisbane, 27-28 November 2014. The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners. Series for distribution at the conference. Gold Sponsor - Deakin University. There...

ausdm16.ausdm.org

The 14th Australasian Data Mining Conference – Canberra, 6-8 December 2016

The 14th Australasian Data Mining Conference. Canberra, 6-8 December 2016. The 14th Australasian Data Mining Conference. The Australasian Data Mining Conference for 2016 will take place 6-8 December in Canberra. Come and join us for this exciting event covering Data Mining, Analytics, Data Science, Big Data, and more. Jointly with ASC and OZCots. In 2016 AusDM will be held jointly with the 23rd Australian Statistical Conference and the 9th Australian Conference on Teaching Statistics (OZCOTS). AusDM 2016...

ausdm13.ausdm.org

AusDM13

The Eleventh Australasian Data Mining Conference: AusDM 2013. Canberra, 13-15 November 2013. Co-Hosted with the Asian Conference on Machine Learning. The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners. Series for distribution at the conference.

ausdm15.ausdm.org

AusDM 2015

AusDM 2015: the 13th Australasian Data Mining Conference. University of Technology, Sydney, 8-9 August 2015. The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehensible and useful for researchers and practitioners. Series for distribution at the conference. We invite two types of submissions for AusDM 2015:. The submis...

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ausdm.org

1

AusDM: The Conferences

http://www.ausdm.org/conferences.html

The conference web sites are available as below. See the Publications link to the left for the proceedings of each conference. 3 December 2002, Canberra. 8 December 2003, Canberra. 6 December 2004, Cairns. December 2005, Sydney. December 2006, Sydney ( Proceedings. December 2007, Gold Coast ( Proceedings. 27-28 November 2008, Adelaide ( Proceedings. 1-4 December 2009, Melbourne. 1-2 December 2011, Ballarat ( Proceedings. 5-7 December 2012, Sydney. 13-15 November 2013, Canberra. Network and process mining.

2

AusDM: International Panel of Expert Advisers

http://www.ausdm.org/international.html

International Panel of Expert Advisers. University of New South Wales. University of Technology, Sydney. Free University Bolzano-Bozen, Italy. Can Tho University, Vietnam. Vladimir Estivill-Castro . University of Technology, Sydney. University of Technology, Sydney. University of Rennes 1 - IRISA, France. Queen's University, Canada. University of Alberta, Canada. Last Modified 2015-11-05 11:15:09 gjw. Further information from the AusDM Steering Committee via sc@ausdm.org.

3

AusDM: The Steering Committee

http://www.ausdm.org/steering.html

University of Western . Graham Williams . University of Western Sydney . Peter Christen . Paul Kennedy . University of Technology, Sydney. University of South Australia. Queensland University of Technology. Zahid Islam . Ling Chen . University of Technology, Sydney. John Roddick . Geoff Webb . Tony Nolan . Warwick Graco . Last Modified 2015-11-05 11:19:38 gjw. Further information from the AusDM Steering Committee via sc@ausdm.org.

4

AusDM: Publications

http://www.ausdm.org/publication.html

Data Mining and Analytics 2015. Kok-Leong Ong, Yanchang Zhao, Glenn Stone and Md Zahid Islam (editors). Proceedings of the 13th Australasian Data Mining Conference, Sydney, Australia, August 2015. CRPIT Volume 168. ISBN 978-1-921770-18-0. ( PDF. Data Mining and Analytics 2014. Richi Nayak, Xue Li, Lin Liu, Kok-Leong Ong, Yanchang Zhao (editors). Data Mining and Analytics 2013. Peter Christen, Paul Kennedy, Lin Liu, Kok-Leong Ong, Andrew Stranieri and Yanchang Zhao (editors). Data Mining and Analytics 2012.

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ausdm13.ausdm.org

AusDM13

http://ausdm13.ausdm.org/tutorial.html

Tutorial: Data Analytics using R. An Introudction to Data Mining with Rattle and R. Dr Graham Williams,. Senior Director, Data Mining,. Wednesday, 13 November 2013, 15:30 - 17:30. R has become the statistical programming language of choice for practising data miners. It is the most feature rich statistical package, outshining the commercial data mining tools, and is free and open source. There are over 2000 packages available to support any kind of analysis required. Computer Science and Information Tech...

ausdm13.ausdm.org

AusDM13

http://ausdm13.ausdm.org/submission.html

We invite two types of submissions for AusDM 2013:. Normal academic submissions reporting on research progress, with a paper length of between 8 and 12 pages in CRPIT style, as detailed below. For academic submissions we will use a double-blinded review process. Paper submissions must not. Include authors names or affiliations (nor acknowledgements referring to funding bodies). Self-citing references should also be removed from the submitted papers (they can be added after the review). It is possible to ...

ausdm14.ausdm.org

Workshop - AusDM14

http://ausdm14.ausdm.org/workshop

Workshop on R and Data Mining, Thursday afternoon, 27 November. Dr Yanchang Zhao, RDataMining.com. The workshop will present an introduction to data mining with R, providing R code examples for classification, clustering, association rules and text mining. Below are slides for the workshop. Introduction to Data Mining with R. Association Rule Mining with R. Text Mining with R - an Analysis of Twitter Data. Regression and Classification with R. Data Clustering with R. R Reference Card for Data Mining.

ausdm15.ausdm.org

Important Dates - AusDM 2015

http://ausdm15.ausdm.org/dates

Submission of full papers:. Final version and author registration:. Http:/ ausdm15.ausdm.org/ Contact: AusDM15@ausdm.org. Visit us on LinkedIn -AusDM.

yanchang.rdatamining.com

Professional Activities - Yanchang Zhao's Homepage

http://yanchang.rdatamining.com/professional-activities

Post-Mining of Association Rules. Adjunct Position and Professional Membership. Adjunct Professor, University of Canberra, since Nov 2015. Senior Member of the IEEE. ACT Chapter Head of the Institute of Analytics Professionals of Australia (IAPA). Oct 2014 to Sept 2015. Member of the IAPA. Founder and manger of the RDataMining Group. 20,000 members) on LinkedIn. Manager of the AusDM Group. Founder and organizer of the Canberra Data Scientist Group. Exhibit and Demo Co-Chair of. The ACM SIGKDD 2015. At th...

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Skip to main content. Safe Haven School District. Board Meeting Schedule 2017-18. Minutes and Agendas (pre-2018). Board of Education Members' School Assignments. ACT (Albany Coming Together). Board Appointed Advisory Committees. Request to Distribute Materials (Flyer Distribution). School Change Request Form. My School Bucks Online Payments. School Accountability Report Cards. Promoting Safe, Supportive, and Collaborative Environments for All Students and Staff. 2017-18 School Year Calendar. AUSD Staff v...

ausdm.org

AusDM: The Australasian Data Mining Conference

The Australasian Data Mining Conference. AusDM 2015 will be held in Sydney in August, co-located with the premier international data mining conference, KDD 2015. The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners. The Conference series began in 2002 as a Workshop an...

ausdm.togaware.com

AusDM: The Australasian Data Mining Conference

The Australasian Data Mining Conference. AusDM 2015 will be held in Sydney in August, co-located with the premier international data mining conference, KDD 2015. The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners. The Conference series began in 2002 as a Workshop an...

ausdm02.togaware.com

Togaware: Open Source Solutions and Data Mining

Open Source Solutions and Data Mining. Over 30 Years of Research and Development. Visit One Page R - Data Analytics for Data Scientists. A creative commons compendium. For analysing data with R. An open source data mining. Toolkit in daily use world wide. Togaware shares its software, experiences and resources for all to benefit. From our consulting and research services we have learnt many lessons and have a wealth of knowledge that we bring to bear on new projects and emerging challenges. Last Modified...

ausdm03.togaware.com

Togaware: Open Source Solutions and Data Mining

Open Source Solutions and Data Mining. Over 30 Years of Research and Development. Visit One Page R - Data Analytics for Data Scientists. A creative commons compendium. For analysing data with R. An open source data mining. Toolkit in daily use world wide. Togaware shares its software, experiences and resources for all to benefit. From our consulting and research services we have learnt many lessons and have a wealth of knowledge that we bring to bear on new projects and emerging challenges. Last Modified...

ausdm06.togaware.com

Togaware: Open Source Solutions and Data Mining

Open Source Solutions and Data Mining. Over 30 Years of Research and Development. Visit One Page R - Data Analytics for Data Scientists. A creative commons compendium. For analysing data with R. An open source data mining. Toolkit in daily use world wide. Togaware shares its software, experiences and resources for all to benefit. From our consulting and research services we have learnt many lessons and have a wealth of knowledge that we bring to bear on new projects and emerging challenges. Last Modified...

ausdm07.togaware.com

Togaware: Open Source Solutions and Data Mining

Open Source Solutions and Data Mining. Over 30 Years of Research and Development. Visit One Page R - Data Analytics for Data Scientists. A creative commons compendium. For analysing data with R. An open source data mining. Toolkit in daily use world wide. Togaware shares its software, experiences and resources for all to benefit. From our consulting and research services we have learnt many lessons and have a wealth of knowledge that we bring to bear on new projects and emerging challenges. Last Modified...