Call for participation: AusDM 2014, Brisbane, 27-28 November
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Yanchang Zhao
Oct 25, 2014, 5:20:37 PM10/25/14
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Call for participation: AusDM 2014, Brisbane, 27-28 November
12th Australasian Data Mining Conference (AusDM 2014)
Brisbane, Australia
27-28 November 2014
http://ausdm14.ausdm.org/
The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. This year's conference, AusDM'14 builds on this tradition of facilitating the cross-disciplinary exchange of ideas, experience and potential research directions. Specifically, the conference seeks to showcase: Industry Case Studies; Research Prototypes; Practical Analytics Technology; and Research Student Projects. AusDM'14 will be a meeting place for pushing forward the frontiers of data mining in industry and academia. We have lined up an excellent Keynote Speaker program.
Registration
============
Registration site:
http://wired.ivvy.com/event/FM12AD/
Registration fees:
Standard Registration: $495
Student Standard Registration: $320
Keynotes
========
Keynote I: Learning in sequential decision problems
Prof. Peter Bartlett, University of California, Berkeley, USA
Keynote II: Making Sense of a Random World through Statistics
Prof. Geoff McLachlan, University of Queensland, Brisbane, Australia
Workshop
========
Half-day workshop on R and Data Mining
Dr. Yanchang Zhao, RDataMining.com
See workshop slides at http://www.rdatamining.com/docs.
Accepted Papers
===============
Comparison of athletic performances across disciplines and disability classes
Chris Barnes
Factors Influencing Robustness and Effectiveness of Conditional Random Fields in Active Learning Frameworks
Mahnoosh Kholghi, Laurianne Sitbon, Guido Zuccon and Anthony Nguyen
Tree Based Scalable Indexing for Multi-Party Privacy Preserving Record Linkage
Thilina Ranbaduge, Peter Christen and Dinusha Vatsalan
Towards Social Media as a Data Source for Opportunistic Sensor Networking
James Meneghello, Kevin Lee and Nik Thompson
A Case Study of Utilising Concept Knowledge in a Topic Specific Document Collection
Gavin Shaw and Richi Nayak
An Efficient Tagging Data Interpretation and Representation Scheme for Item Recommendation
Noor Ifada and Richi Nayak
Evolving Wavelet Neural Networks for Breast Cancer Classification
Maryam Khan, Stephan Chalup and Alexandre Mendes
Dynamic Class Prediction with Classifier Based Distance Measure
Senay Yasar Saglam and Nick Street
Detecting Digital Newspaper Duplicates with Focus on eliminating OCR errors
Yeshey Peden and Richi Nayak
Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling
Muhammad Ibrahim and Mark Carman
A Multidimensional Collaborative Filtering Fusion Approach with Dimensionality Reduction
Xiaoyu Tang, Yue Xu, Ahmad Abdel-Hafez and Shlomo Geva
The Schema Last Approach to Data Fusion
Neil Brittliff and Dharmendra Sharma
A Triple Store Implementation to support Tabular Data
Neil Brittliff and Dharmendra Sharma
Pruned Annular Extreme Learning Machine Optimization based on RANSAC Multi Model Response Regularization
Lavneet Singh and Girija Chetty
Automatic Detection of Cluster Structure Changes using Relative Density Self-Organizing Maps
Denny, Pandu Wicaksono and Ruli Manurung
Decreasing Uncertainty for Improvement of Relevancy Prediction
Libiao Zhang, Yuefeng Li and Moch Arif Bijaksana
Identifying Product Families Using Data Mining Techniques in Manufacturing Paradigm
Israt Jahan Chowdhury and Richi Nayak
Market Segmentation of EFTPOS Retailers
Ashishkumar Singh, Grace Rumantir and Annie South
Locality-Sensitive Hashing for Protein Classification
Lawrence Buckingham, James Hogan, Shlomo Geva and Wayne Kelly
Real-time Collaborative Filtering Recommender Systems
Huizhi Liang, Haoran Du and Qing Wang
Pattern-based Topic Modelling for Query Expansion
Yang Gao, Yue Xu and Yuefeng Li
Hartigan's Method for K-modes Clustering and Its Advantages
Zheng Rong Xiang and Zahidul Islam
Data Cleansing during Data Collection from Wireless Sensor Networks
Md Zahidul Islam, Quazi Mamun and Md Geaur Rahman
Content Based Image Retrieval Using Signature Representation
Dinesha Chathurani Nanayakkara Wasam Uluwitige, Shlomo Geva, Vinod Chandran and Timothy Chappell
12th Australasian Data Mining Conference (AusDM 2014)
Brisbane, Australia
27-28 November 2014
http://ausdm14.ausdm.org/
The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. This year's conference, AusDM'14 builds on this tradition of facilitating the cross-disciplinary exchange of ideas, experience and potential research directions. Specifically, the conference seeks to showcase: Industry Case Studies; Research Prototypes; Practical Analytics Technology; and Research Student Projects. AusDM'14 will be a meeting place for pushing forward the frontiers of data mining in industry and academia. We have lined up an excellent Keynote Speaker program.
Registration
============
Registration site:
http://wired.ivvy.com/event/FM12AD/
Registration fees:
Standard Registration: $495
Student Standard Registration: $320
Keynotes
========
Keynote I: Learning in sequential decision problems
Prof. Peter Bartlett, University of California, Berkeley, USA
Keynote II: Making Sense of a Random World through Statistics
Prof. Geoff McLachlan, University of Queensland, Brisbane, Australia
Workshop
========
Half-day workshop on R and Data Mining
Dr. Yanchang Zhao, RDataMining.com
See workshop slides at http://www.rdatamining.com/docs.
Accepted Papers
===============
Comparison of athletic performances across disciplines and disability classes
Chris Barnes
Factors Influencing Robustness and Effectiveness of Conditional Random Fields in Active Learning Frameworks
Mahnoosh Kholghi, Laurianne Sitbon, Guido Zuccon and Anthony Nguyen
Tree Based Scalable Indexing for Multi-Party Privacy Preserving Record Linkage
Thilina Ranbaduge, Peter Christen and Dinusha Vatsalan
Towards Social Media as a Data Source for Opportunistic Sensor Networking
James Meneghello, Kevin Lee and Nik Thompson
A Case Study of Utilising Concept Knowledge in a Topic Specific Document Collection
Gavin Shaw and Richi Nayak
An Efficient Tagging Data Interpretation and Representation Scheme for Item Recommendation
Noor Ifada and Richi Nayak
Evolving Wavelet Neural Networks for Breast Cancer Classification
Maryam Khan, Stephan Chalup and Alexandre Mendes
Dynamic Class Prediction with Classifier Based Distance Measure
Senay Yasar Saglam and Nick Street
Detecting Digital Newspaper Duplicates with Focus on eliminating OCR errors
Yeshey Peden and Richi Nayak
Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling
Muhammad Ibrahim and Mark Carman
A Multidimensional Collaborative Filtering Fusion Approach with Dimensionality Reduction
Xiaoyu Tang, Yue Xu, Ahmad Abdel-Hafez and Shlomo Geva
The Schema Last Approach to Data Fusion
Neil Brittliff and Dharmendra Sharma
A Triple Store Implementation to support Tabular Data
Neil Brittliff and Dharmendra Sharma
Pruned Annular Extreme Learning Machine Optimization based on RANSAC Multi Model Response Regularization
Lavneet Singh and Girija Chetty
Automatic Detection of Cluster Structure Changes using Relative Density Self-Organizing Maps
Denny, Pandu Wicaksono and Ruli Manurung
Decreasing Uncertainty for Improvement of Relevancy Prediction
Libiao Zhang, Yuefeng Li and Moch Arif Bijaksana
Identifying Product Families Using Data Mining Techniques in Manufacturing Paradigm
Israt Jahan Chowdhury and Richi Nayak
Market Segmentation of EFTPOS Retailers
Ashishkumar Singh, Grace Rumantir and Annie South
Locality-Sensitive Hashing for Protein Classification
Lawrence Buckingham, James Hogan, Shlomo Geva and Wayne Kelly
Real-time Collaborative Filtering Recommender Systems
Huizhi Liang, Haoran Du and Qing Wang
Pattern-based Topic Modelling for Query Expansion
Yang Gao, Yue Xu and Yuefeng Li
Hartigan's Method for K-modes Clustering and Its Advantages
Zheng Rong Xiang and Zahidul Islam
Data Cleansing during Data Collection from Wireless Sensor Networks
Md Zahidul Islam, Quazi Mamun and Md Geaur Rahman
Content Based Image Retrieval Using Signature Representation
Dinesha Chathurani Nanayakkara Wasam Uluwitige, Shlomo Geva, Vinod Chandran and Timothy Chappell
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