Call for participation: DMApps 2013 – an International Workshop on Data Mining Applications in Industry and Government

Call for participation: DMApps 2013 – an International Workshop on Data Mining Applications in Industry and Government
in conjunction with PAKDD 2013, Gold Coast, Australia, April 14, 2013

To attend the workshop, you need to register for PAKDD 2013

DMApps 2013 Workshop Program

8:30 – 8:40    Welcome and Introduction to the Workshop. Dr Warwick Graco and Dr Inna Kolyshkina

8:40 – 9:30    Keynote speech. Behavior Computing: Discovering Complex Behavior Intelligence. Prof. Longbing Cao

9:30 – 10:00   Real-time Television ROI Tracking using Mirrored Experimental Designs. Brendan Kitts

10:00 – 10:30 Coffee Break

10:30 – 11:00  Using Scan-Statistical Correlations for Network Change Analysis. Adriel Cheng, Peter Dickinson

11:00 – 11:30  Predicting High Impact Academic Papers Using Citation Network Features. Daniel McNamara, Paul Wong, Peter Christen and Kee Siong Ng

11:30 – 12:00  Combination of effective machine learning techniques and chemometric analysis for evaluation of Bupleuri Radix through high-performance thin-layer chromatographic. Xiaoping Cheng, Hongmin Cai, Ping He and Runtiao Tian

12:00 – 12:30  An OLAP Server for Sensor Networks using Augmented Statistics Trees. Neil Dunstan

12:30 – 13:00  Indirect information linkage for OSINT through authorship analysis of aliases. Robert Layton, Charles Perez, Babiga Birregah, Paul Watters and Marc Lemercier

13:00 – 14:00 Lunch

14:00 – 14:30 Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution. Banda Ramadan, Peter Christen, Huizhi Liang, David Hawking and Ross Gayler

14:30 – 15:00  Identifying dominant economic sectors and stock markets: A social network mining approach. Ram Babu Roy and Uttam Sarkar

15:00 – 15:30 Coffee Break

15:30 – 16:00  Ensemble Model of Artificial Neural Networks for Petroleum Reservoir Characterization. Fatai Anifowose, Jane Labadin and Abdulazeez Abdulraheem

16:00 – 16:30  A Comparison of Visualization Data Mining Methods for Kernel Smoothing Techniques for Cox Processes with Application To Spatial Decision Support Systems. David Rohde, Ruth Huang, Jonathan Corcoran and Gentry White

16:30 – 17:00  Parallel Sentiment Polarity Classification Method with Substring Feature Reduction. Ken Zhang and Lin Shang

17:00 – 17:30  On the Evaluation of the Homogeneous Ensembles with CV-passports. Aneesha Bakharia, Vladimir Nikulin and Tian-Hsiang Huang

17:30 – 18:00  Identifying Authoritative and Reliable Contents in Community Question Answering with Domain Knowledge. Lifan Guo and Xiaohua Hu

About Yanchang Zhao

I am a data scientist, using R for data mining applications. My work on R and data mining:; Twitter; Group on Linkedin; and Group on Google.
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