Call for participation: AusDM 2013, Canberra, 13-15 Nov 2013
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Yanchang Zhao
Oct 22, 2013, 6:19:01 AM10/22/13
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The Eleventh Australasian Data Mining Conference: AusDM 2013
Canberra, 13-15 November 2013
http://ausdm13.togaware.com/
Co-Hosted with the Asian Conference on Machine Learning (ACML)
(http://acml2013.conference.nicta.com.au/)
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. This conference will bring together from the Data Mining and Business Analytics community researchers and practitioners to share and learn of research and progress in the local context and new breakthroughs in data mining algorithms and their applications.
This year's AusDM conference features two industry keynote addresses, a tutorial, 20 presentations (incl. 7 industry papers), plus keynotes, tutorials, and sessions from the ACML conference. Details can be found below. We look forward to seeing you at AusDM 2013 in Canberra in November.
==================
Conference program
==================
http://ausdm13.togaware.com/program.pdf
============
Registration
============
Early bird registration closes on the 26th October
http://ausdm13.togaware.com/register.html
Online registration is via:
http://onestop.anu.edu.au/cfrstep1.cgi?EVENT=AUSDM
=====================
Keynote presentations
=====================
Keynote I: Predictive Network Analytics for National Research Investment
by Paul Wong, Director of the Office of Research Excellence at the Australian National University
Keynote II: Harnessing the Power of Data in Government through Analytics
by Klaus Felsche, Director, Intent Management & Analytics,
Department of Immigration & Border Protection - Australia (DIBP)
========
Tutorial
========
Data Analytics using R and Rattle
by Graham Williams
===============
Accepted papers
===============
Research Track
Evaluating Surgical Performance in Real Time Using Data Mining
by Yun Zhou, Ioanna Ioannou, James Bailey, Stephen O'Leary and Gregor Kennedy
A Novel Framework Using Two Layers of Missing Value Imputation
by Md Geaur Rahman and Zahid Islam
Two Stage Similarity-aware Indexing for Large-scale Real-time Entity Resolution
by Shouheng Li, Huizhi Liang and Banda Ramadan
To Learn or to Rule: Two Approaches for Extracting Geographical Information from Unstructured Text
by Philipp Katz and Alexander Schill
Features for Measuring the Congestive Extent of Internal Hemorrhoids in Endoscopic Images
by Koji Abe, Hidenori Takagi, Masahide Minami and Haiyan Tian
Towards a Feature Rich Model for Predicting Spam Emails containing Malicious Attachments and URLs
by Khoi-Nguyen Tran, Mamoun Alazab and Roderic Broadhurst
A Concept-based Retrieval Method for Entity-oriented Search
by Jun Hou and Richi Nayak
Sentiment Augmented Bayesian Network
by Sylvester Olubolu Orimaye
A New Modification of Kohonen Neural Network for VQ and Clustering Problems
by Ehsan Mohebi and Adil Bagirov
An investigation on window size selection for human activity recognition
by Anthony Blond, Wei Liu and Rachel Cardell-Oliver
Extraction of Essential Region in Gastric Area for Diagnosing Gastric Cancer Using Double Contrast X-ray Images
by Koji Abe, Hideaki Nakagawa, Masahide Minami and Haiyan Tian
Cyberbullying Detection based on Text-Stream Classification
by Vinita Nahar, Xue Li and Chaoyi Pang
Searching Frequent Pattern and Prefix Trees for Higher Order Rules
by Liang Ping, John Roddick and Denise de Vries
Industry Track
Predictive Modelling Using Random Forest and Its Hybrid Methods with Geostatistical Techniques in Marine Environmental Geosciences
by Jin Li
A Novel Process of Group-oriented Question Reduction for Rule-based Recommendation Websites
by Lin Chen
Using Social Media Data for Comparing Brand Awareness, Levels of Consumer Engagement, Public Opinion and Sentiment for Big Four Australian Banks
by Inna Kolyshkina, Boris Levin and Grant Goldsworty
Predicting usefulness of online reviews using stochastic gradient boosting and randomized trees
by Madhav Kumar and Shreyes Upadhyay
Data Cleaning and Matching of Institutions in Bibliographic Databases
by Jeffrey Fisher, Qing Wang, Paul Wong and Peter Christen
Analysing Twitter Data with Text Mining and Social Network Analysis
by Yanchang Zhao
sRADAR : A Complex Event Processing and Visual Analytics System for Maritime Intelligence
by Naveen Nandan, Baljeet Malhotra and Daniel Dahlmeier
Canberra, 13-15 November 2013
http://ausdm13.togaware.com/
Co-Hosted with the Asian Conference on Machine Learning (ACML)
(http://acml2013.conference.nicta.com.au/)
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. This conference will bring together from the Data Mining and Business Analytics community researchers and practitioners to share and learn of research and progress in the local context and new breakthroughs in data mining algorithms and their applications.
This year's AusDM conference features two industry keynote addresses, a tutorial, 20 presentations (incl. 7 industry papers), plus keynotes, tutorials, and sessions from the ACML conference. Details can be found below. We look forward to seeing you at AusDM 2013 in Canberra in November.
==================
Conference program
==================
http://ausdm13.togaware.com/program.pdf
============
Registration
============
Early bird registration closes on the 26th October
http://ausdm13.togaware.com/register.html
Online registration is via:
http://onestop.anu.edu.au/cfrstep1.cgi?EVENT=AUSDM
=====================
Keynote presentations
=====================
Keynote I: Predictive Network Analytics for National Research Investment
by Paul Wong, Director of the Office of Research Excellence at the Australian National University
Keynote II: Harnessing the Power of Data in Government through Analytics
by Klaus Felsche, Director, Intent Management & Analytics,
Department of Immigration & Border Protection - Australia (DIBP)
========
Tutorial
========
Data Analytics using R and Rattle
by Graham Williams
===============
Accepted papers
===============
Research Track
Evaluating Surgical Performance in Real Time Using Data Mining
by Yun Zhou, Ioanna Ioannou, James Bailey, Stephen O'Leary and Gregor Kennedy
A Novel Framework Using Two Layers of Missing Value Imputation
by Md Geaur Rahman and Zahid Islam
Two Stage Similarity-aware Indexing for Large-scale Real-time Entity Resolution
by Shouheng Li, Huizhi Liang and Banda Ramadan
To Learn or to Rule: Two Approaches for Extracting Geographical Information from Unstructured Text
by Philipp Katz and Alexander Schill
Features for Measuring the Congestive Extent of Internal Hemorrhoids in Endoscopic Images
by Koji Abe, Hidenori Takagi, Masahide Minami and Haiyan Tian
Towards a Feature Rich Model for Predicting Spam Emails containing Malicious Attachments and URLs
by Khoi-Nguyen Tran, Mamoun Alazab and Roderic Broadhurst
A Concept-based Retrieval Method for Entity-oriented Search
by Jun Hou and Richi Nayak
Sentiment Augmented Bayesian Network
by Sylvester Olubolu Orimaye
A New Modification of Kohonen Neural Network for VQ and Clustering Problems
by Ehsan Mohebi and Adil Bagirov
An investigation on window size selection for human activity recognition
by Anthony Blond, Wei Liu and Rachel Cardell-Oliver
Extraction of Essential Region in Gastric Area for Diagnosing Gastric Cancer Using Double Contrast X-ray Images
by Koji Abe, Hideaki Nakagawa, Masahide Minami and Haiyan Tian
Cyberbullying Detection based on Text-Stream Classification
by Vinita Nahar, Xue Li and Chaoyi Pang
Searching Frequent Pattern and Prefix Trees for Higher Order Rules
by Liang Ping, John Roddick and Denise de Vries
Industry Track
Predictive Modelling Using Random Forest and Its Hybrid Methods with Geostatistical Techniques in Marine Environmental Geosciences
by Jin Li
A Novel Process of Group-oriented Question Reduction for Rule-based Recommendation Websites
by Lin Chen
Using Social Media Data for Comparing Brand Awareness, Levels of Consumer Engagement, Public Opinion and Sentiment for Big Four Australian Banks
by Inna Kolyshkina, Boris Levin and Grant Goldsworty
Predicting usefulness of online reviews using stochastic gradient boosting and randomized trees
by Madhav Kumar and Shreyes Upadhyay
Data Cleaning and Matching of Institutions in Bibliographic Databases
by Jeffrey Fisher, Qing Wang, Paul Wong and Peter Christen
Analysing Twitter Data with Text Mining and Social Network Analysis
by Yanchang Zhao
sRADAR : A Complex Event Processing and Visual Analytics System for Maritime Intelligence
by Naveen Nandan, Baljeet Malhotra and Daniel Dahlmeier
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