Seminar and Conference News

AusDM 2019 submission deadline extended to 12 August

posted Jul 21, 2019, 10:31 PM by Yanchang Zhao   [ updated Jul 21, 2019, 10:32 PM ]

CFP: The 17th Australasian Data Mining Conference (AusDM 2019)

posted Apr 11, 2019, 11:37 PM by Yanchang Zhao   [ updated Apr 11, 2019, 11:37 PM ]

The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. It is devoted to the art and science of intelligent analysis of (usually big) data sets for meaningful (and previously unknown) insights. This conference will enable the sharing and learning of research and progress in the local context and new breakthroughs in data mining algorithms and their applications across all industries.

Since AusDM'02 the conference has showcased research in data mining, providing a forum for presenting and discussing the latest research and developments. Built on this tradition, AusDM?19 will facilitate the cross-disciplinary exchange of ideas, experience and potential research directions. Specifically, the conference seeks to showcase: Research Prototypes; Industry Case Studies; Practical Analytics Technology; and Research Student Projects. AusDM?19 will be a meeting place for pushing forward the frontiers of data mining in academia and industry. In this year, AusDM is pleased to be co-located with the Australasian Joint Conference on Artificial Intelligence (AI'19) in Adelaide, Australia.  

Publication and topics 
We are calling for papers, both research and applications, and from both academia and industry, for presentation at the conference. All papers will go through double?blind, peer?review by a panel of international experts. Since 2017, all AusDM proceedings have been published in Springers Communication in Computer and Information Science (CCIS). CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. Previous AusDM proceedings (2006 to 2016) have been published as volumes in the Conferences in Research and Practice in Information Technology (CRPIT) series. 
Please note that AusDM'19 requires that at least one author for each accepted paper register for the conference and present their work, and one registration covers only one paper. 

AusDM invites contributions addressing current research in data mining and knowledge discovery as well as experiences, novel applications and future challenges. Topics of interest include, but are not restricted to: 

- Applications and Case Studies ? Lessons and Experiences 
- Big Data Analytics 
- Biomedical and Health Data Mining
- Business Analytics 
- Computational Aspects of Data Mining 
- Data Integration, Matching and Linkage
- Data Mining in Education 
- Data Mining in Security and Surveillance
- Data Preparation, Cleaning and Preprocessing
- Data Stream Mining
- Evaluation of Results and their Communication
- Implementations of Data Mining in Industry
- Integrating Domain Knowledge
- Link, Tree, Graph, Network and Process Mining
- Multimedia Data Mining
- New Data Mining Algorithms
- Professional Challenges in Data Mining
- Privacy-preserving Data Mining
- Spatial and Temporal Data Mining
- Text Mining
- Visual Analytics 
- Web and Social Network Mining

Keynote speakers 
As is tradition for AusDM we have lined up an excellent keynote speaker program. Each speaker is a well-known research and/or practitioner in data mining and related disciplines. The keynote program provides an opportunity to hear from some of the world?s leaders on what the technology offers and where it is heading. 

Submission of papers 
We invite three types of submissions for AusDM'19: 

- Research Track: Academic submissions reporting on new algorithms, novel approaches and research progress, with a paper length of between 8 and 12 pages in CCIS style, as detailed below. 

- Application Track: Submissions reporting on applications of data mining and machine learning and describing specific data mining implementations and experiences in the real world. Submissions in this category can be between 6 and 12 pages in CCIS style, as detailed below. 

- Industry Showcase Track: Submissions from governments and industry on an analytics solution that has raised profits, reduced costs and/or achieved other important policy and/or business outcomes can be made in this track with a 1 to 2 pages extended abstract in CCIS style. 

All submissions will go through a double-blind review process, i.e. paper submissions must NOT include authors names or affiliations or acknowledgments referring to funding bodies. Self-citing references should also be removed from the submitted papers for the double-blinded reviewing purpose. The information can be added in the accepted final camera-ready submissions.

Paper submissions are required to follow the format specified for papers in the CCIS style. Author guideline, LaTeX style file and Word template of the CCIS style will be available on AusDM?19 Submission Page. The electronic submissions must be in PDF only and made through the AusDM?19 Submission Page, which will be available at   

Important Dates
Abstract registration: 15 July 2019
Paper submission: 22 July 2019 
Notification: 30 September 2019 
Camera-ready: 14 October 2019
Conference: 2-5 December 2019
(All deadlines are anywhere on Earth Time)

Organising Committee 

Conference Chairs 
Lin Liu, University of South Australia 
Graham William, Microsoft

Program Chairs 
Thuc Le, University of South Australia 
Kok-Leong Ong, La Trobe University
Yanchang Zhao, Data61, CSIRO 
Warren Jin, Data61, CSIRO
Sebastien Wong, Consillium Technology

Publications Chair
Kok-Leong Ong, La Trobe University

Publicity Chair
Yee Ling Boo, RMIT

Organising Chairs
Wolfgang Mayer, University of South Australia 
Cristina Garcia, University of South Australia 

Sponsorship Chair
Michael Bewong, University of South Australia

Steering Committee 
Simeon Simoff (Chair), University of Western Sydney 
Graham William (Chair), Microsoft
Peter Christen, The Australian National University
Ling Chen, University of Technology
Zahid Islam, Charles Sturt University
Paul Kennedy, University of Technology
Yun Sing Koh, The University of Auckland
Jiuyong (John) Li, University of South Australia
Richi Nayak, Queensland University of Technology
Kok?Leong Ong, La Trobe University
Dharmendra Sharma, University of Canberra
Glenn Stone, Western Sydney University
Yanchang Zhao, Data61, CSIRO

Further Information 
AusDM 2019 website:
Contact the organisers of AusDM 2019 at 

Vacancies of research scientists at CSIRO, Australia

posted Jan 21, 2019, 2:37 PM by Yanchang Zhao   [ updated Jan 21, 2019, 2:38 PM ]

Senior Research Scientist, Computer Vision and Image Understanding

Senior Research Scientist - Transport Analytics

Research Scientist

Research Scientist - IUU Analytics

PhD scholarship for Australian local students on deep behavior analytics

posted Jan 17, 2019, 3:18 AM by Yanchang Zhao   [ updated Jan 17, 2019, 3:18 AM ]

PhD scholarships are available for talented Australian local students to work on an exciting Australian Research Council discovery grant. The project will invent ground-breaking theories and methods for deep behavior analytics of individuals and groups, natural systems, and artificial systems such as interactions and networks in public services, transport systems, health/medical treatment services, financial and economic systems etc. The candidates must have solid background knowledge in statistics, data science and artificial intelligence (in particular machine learning, data mining and pattern recognition), a master by research qualification, and demonstrated research capabilities (through publications). The candidates will work at the Data Science Lab ( at UTS Advanced Analytics Institute, an active team with strong research culture and track record in quality and impact-driven research and engagement with many major local and international partners. The candidates may also be co-supervised by a world-leading investigator in the US. The scholarships will be available from 2019 for three years. Interested candidates are welcome to submit your CV with representative publications and a brief statement of your doctoral research plan to Prof Longbing Cao at For inquiries, please contact Prof Cao and information at the Data Science Lab

Additional opportunities for post-doctoral fellowship in data science are welcome.

An R and Data Mining Course

posted Dec 9, 2018, 3:23 PM by Yanchang Zhao   [ updated Dec 9, 2018, 3:23 PM ]

I will run an 8-hour course on R and Data Mining at Black Mountain, CSIRO, Australia on 10 & 13 December 2018.

The course materials, incl. slides, R scripts and datasets, are available at

Below is outline of the course.

Part I: Monday 10 Dec 2018, 1-5pm

  • R Programming 
    basics of R language and programming, parallel computing, and data import and export
  • Data Exploration and Visualisation
    summary, stats and various charts
  • Regression and Classification
    linear regression and logistic regression, decision trees and random forest
  • Data Clustering
  • k-means clustering, k-medoids clustering, hierarchical clustering and density-based clustering

Part II: Thursday 13 Dec 2018, 1-5pm

  • Time Series Analysis
    time series decomposition, forecasting, classification and clustering
  • Association Rule Mining 
    mining and selecting interesting association rules, redundancy removal, and rule visualisation
  • Text Mining
    text mining, word cloud, topic modelling, and sentiment analysis,
  • Network Analysis and Graph Mining
    graph construction, graph query, centrality measures, and graph visualisation
  • Big Data
    Hadoop, Spark and R

Vacancy of Research Scientist in Data Science

posted Nov 6, 2018, 8:57 PM by Yanchang Zhao   [ updated Nov 6, 2018, 8:58 PM ]

Research Scientist in Data Science - 2 Positions at Data61, CSIRO. 

Application close on 28 November 2018. 

See details at

Seminar: Smart Data Analytics for Traffic Congestion Management

posted Nov 1, 2018, 5:51 PM by Yanchang Zhao   [ updated Nov 1, 2018, 5:51 PM ]

Seminar: Smart Data Analytics for Traffic Congestion Management, 

Speaker: Dr. Adriana-Simona Mihaita, Data61, CSIRO. 

Location: Black Mountain, Canberra, 

Time and Date: 2-4pm Friday 16 Nov


AusDM 2018 Program now available

posted Nov 1, 2018, 5:20 PM by Yanchang Zhao   [ updated Nov 1, 2018, 5:21 PM ]

AusDM 2018 Student Challenge on postcode grouping

posted Sep 17, 2018, 8:16 PM by Yanchang Zhao   [ updated Sep 17, 2018, 8:17 PM ]

AusDM 2018 Student Challenge on postcode grouping. Open to students with Australian universities. See details at

CFP: AusDM 2018 - final extension to 17 Aug

posted Aug 2, 2018, 4:04 PM by Yanchang Zhao   [ updated Aug 2, 2018, 4:06 PM ]

The 2018 Australasian Data Mining Conference (AusDM 2018) has extended its submission deadline to 17 August. This is the final chance to get in.


The conference proceedings will be published in Springers Communication in Computer and Information Science.


Conference URL:

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