News

CFP: AusDM 2016 paper submission extended to 2 Sept

posted Aug 19, 2016, 5:40 AM by Yanchang Zhao   [ updated Aug 19, 2016, 5:40 AM ]

14th Australasian Data Mining Conference (AusDM 2016)
Canberra, Australia,
6-8 December 2016
URL: http://ausdm16.ausdm.org/
Join us on LinkedIn: http://www.linkedin.com/groups/AusDM-4907891

The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. AusDM'16 seeks to showcase: Research Prototypes; Industry Case Studies; Practical Analytics Technology; and Research Student Projects.

Publication and topics
We are calling for papers, both research and applications, and from both academia and industry, for presentation at the conference. Accepted papers will be published in an up-coming volume (Data Mining and Analytics 2016) of the Conferences in Research and Practice in Information Technology (CRPIT) series by the Australian Computer Society which is also held in full-text on the ACM Digital Library. AusDM invites contributions addressing current research in data mining and knowledge discovery as well as experiences, novel applications and future challenges.

Submission of papers
- Academic submissions: Regular academic submissions can be made in Research Track reporting on research progress, with a paper length of between 8 and 12 pages in CRPIT style.
- Industry submissions: Submissions can be made in the Application Track to report on specific data mining implementations and experiences in governments and industry projects. Submissions in this category can be between 4 and 8 pages in CRPIT style.
- Industry Showcase submissions: Submission from industry and government 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 one page Abstract only.

Online submission system
https://easychair.org/conferences/?conf=ausdm2016

Important Dates
Paper Submission: extended to 6pm, Friday 2 Sept 2016, Australian Eastern Standard Time (AEST)
Authors Notified: Monday 24 October 2016
Camera Ready Submission: Monday 7 November 2016
Conference Dates: 6-8 December 2016

Slides on Data Mining for Biosecurity Regulation

posted Aug 10, 2016, 6:14 AM by Yanchang Zhao   [ updated Aug 10, 2016, 6:15 AM ]

A/Prof. Andrew Robinson from Melbourne University gave a talk on Data Mining for Biosecurity Regulation at a seminar organised by the Canberra Data Scientists meetup group today.

Slides of the talk can be found at http://www.meetup.com/CanberraDataSci/files/.

Seminar: Data Mining for Biosecurity Regulation, by A/Prof. Andrew Robinson, Wednesday 10 Aug 2016

posted Aug 1, 2016, 2:08 PM by Yanchang Zhao   [ updated Aug 1, 2016, 2:11 PM ]

Topic: Data Mining for Biosecurity Regulation
Speaker: A/Prof. Andrew Robinson, Melbourne University
When: 4:30pm-5:30pm, Wednesday 10 Aug 2016
Where: 9A1 (Building 9, Room A1), University of Canberra. See UC map at http://www.canberra.edu.au/maps/pdf-maps/UC-Bruce-Campus-Map.pdf
RSVP: http://www.meetup.com/CanberraDataSci/events/233033578/

Abstract:
The Department of Agriculture and Water Resources (the department) seeks to mitigate the inherent biosecurity risk of various pathways by various control measures. This presentation focuses on the deployment of data-mining tools on a collection of data resources held by the department. The overall results of the data mining exercises were very encouraging; we developed statistically reliable models that produced operationally realistic predictions. We discuss the benefits and challenges of statistical analysis of operational data resources.

About the speaker:
Andrew Robinson is Reader and Associate Professor in applied statistics, and deputy director of the Centre of Excellence for Biosecurity Risk Analysis (CEBRA), at the University of Melbourne. Professor Robinson spends much of his time thinking about biosecurity at national borders, including analyzing inspection and interception data using statistical tools, designing and trialing inspection surveillance systems, developing metrics by which regulatory inspectorates can assess their performance, and discussing all of the above with interested parties. He is a co-author of three books: Introduction to Scientific Programming and Simulation Using R, Forest Analytics with R, and Methods of Statistical Model Estimation.

Homepage: http://www.ms.unimelb.edu.au/~apro@unimelb/

Photos at ML102 Workshop at SPJain, Mumbai

posted Jul 31, 2016, 6:30 AM by Yanchang Zhao   [ updated Jul 31, 2016, 7:49 AM ]

See the link below for photos at the Machine Learning 102 Workshop for the Big Data and Analytics course at the S P Jain School of Global Management, Mumbai, India, 30 May - 5 June 2016.
http://www.rdatamining.com/training/ml102

To students at above workshop:
Training certificates have been sent out. If you haven't received a certificate, please contact me on yanchang(at)RDataMining.com and also tell me when you attended the workshop, so that I can send a certificate to you. Thanks.

New Online Course: Writing Functions in R, by Hadley Wickham

posted Jul 25, 2016, 6:20 AM by Yanchang Zhao   [ updated Jul 25, 2016, 6:21 AM ]

New Online Course: "Writing Functions in R" from Hadley & Charlotte Wickham! Start for free at https://www.datacamp.com/courses/writing-functions-in-r.

Learn from the creator of ggplot2, dplyr, and more! Whether you're a seasoned veteran or R novice, DataCamp’s latest course will help you make your code more readable, avoid coding errors, and automate repetitive tasks. Enjoy!

Package visNetwork: nice interactive visualisation of graph and networks

posted Jun 30, 2016, 4:48 AM by Yanchang Zhao   [ updated Jun 30, 2016, 4:49 AM ]

I has been looking for a long time for an easy way to visualise networks and graphs in R. Package igraph provides various useful functions for network analysis, but doesn't support interactive network plot. Package networkD3 and d3Network provide limited interactive plot, but donot support zoom and pan operations.

Recently, I came across a new R package, visNetwork, which uses vis.js javascript library, providing very powerful functions for interactive netweork visualisation, including drag and drop, selecting, grouping, zooming and panning, and easily customising node icons and edges.

See some examples of visNetwork at https://cran.r-project.org/web/packages/visNetwork/vignettes/Introduction-to-visNetwork.html.

ASC 2016: refereed paper abstract submissions for OZCOTS program close 30 June

posted Jun 26, 2016, 2:06 PM by Yanchang Zhao   [ updated Jun 26, 2016, 2:07 PM ]

Submit your refereed paper abstract now for consideration in the program at the 9th Australian Conference on Teaching Statistics (OZCOTS).

The OZCOTS program will be held on 8-9 December 2016 as one of the three impressive program themes at the Australian Statistical Conference (ASC) 2016 running from 5-9 December 2016 in Canberra.
Conference URL: http://asc2016.com.au/

Abstract and full paper submission deadlines:
OZCOTS submission deadline for papers to be refereed: 30 June 2016
OZCOTS submission deadline for papers not to be refereed: 31 July 2016
SSA abstract submission deadline: 29 July 2016
AusDM paper submission deadline: 19 August 2016

Paper and abstract submission:
Members and non members across all disciplines are invited to submit. Submission requirements vary, so check the details before submitting.

Submit Abstract for OZCOTS Program: http://asc2016.com.au/ozcots-guidelienes/
Submit Abstract for SSA Program: http://asc2016.com.au/ssai-abstract-guidelines/
Submit Full Paper for AusDM Program: http://asc2016.com.au/ausdm-full-paper-guidelines/

Book now to take advantage of the early bird registration fee
ASC 2016 will provide unique insight into statistics, data mining and statistics teaching. Attending will give you the unique opportunity to meet, discuss and learn with meet like-minded individuals. Secure your place at ASC 2016 now and take advantage of the early bird registration fee. A number of registration fees are on offer. Visit the website for more details. Specially negotiated rates with flexible terms and conditions have been secured at a selection of hotels exclusively for attendees of ASC 2016.  Visit the website for further details and book early via the online registration form.

Registration URL: http://asc2016.com.au/registration/

RDataMining LinkedIn group has over 20,000 members

posted May 19, 2016, 12:58 PM by Yanchang Zhao   [ updated May 20, 2016, 5:12 AM ]

The RDataMining group on LinkedIn has got 20,000 members.

Created in August 2011, the group received wide interest and expanded very quickly. In less than 5 years, its size reached 20,000.
It is now one of the top LinkedIn groups for data mining and data science. It is one of the fastest growing groups and one of the most active groups in above area (KDnuggets, 2015).

Thanks to all members for their contributions to the RDataMining group. As a big group on data mining and analytics, we will continue our journey of sharing knowledge and experiences in R and Data mining and will make our group better and better.

If you are not a member yet, please join us at:
http://group.rdatamining.com
or
https://www.linkedin.com/groups/4066593

CFP: AusDM 2016. Submission due 19 Aug

posted Apr 28, 2016, 7:19 AM by Yanchang Zhao   [ updated Apr 28, 2016, 7:21 AM ]

14th Australasian Data Mining Conference (AusDM 2016)
Canberra, Australia,
6-8 December 2016
URL: http://ausdm16.ausdm.org/
Join us on LinkedIn: http://www.linkedin.com/groups/AusDM-4907891

The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. AusDM'16 seeks to showcase: Research Prototypes; Industry Case Studies; Practical Analytics Technology; and Research Student Projects.

Publication and topics
We are calling for papers, both research and applications, and from both academia and industry, for presentation at the conference. Accepted papers will be published in an up-coming volume (Data Mining and Analytics 2016) of the Conferences in Research and Practice in Information Technology (CRPIT) series by the Australian Computer Society which is also held in full-text on the ACM Digital Library. AusDM invites contributions addressing current research in data mining and knowledge discovery as well as experiences, novel applications and future challenges.

Submission of papers
- Academic submissions: Regular academic submissions can be made in Research Track reporting on research progress, with a paper length of between 8 and 12 pages in CRPIT style.
- Industry submissions: Submissions can be made in the Application Track to report on specific data mining implementations and experiences in governments and industry projects. Submissions in this category can be between 4 and 8 pages in CRPIT style.
- Industry Showcase submissions: Submission from industry and government 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 one page Abstract only.

Important Dates
Paper Submission Closed: Friday 19 August 2016
Authors Notified: Monday 24 October 2016
Camera Ready Submission: Monday 7 November 2016
Conference Dates: 6-8 December 2016

Upcoming Training

posted Apr 24, 2016, 3:01 PM by Yanchang Zhao   [ updated Apr 24, 2016, 3:02 PM ]

I will run one-week training for the Big Data and Analytics course at the S P Jain School of Global Management, Mumbai, India, 30 May - 5 June 2016.

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