DDDM09 ::.. Program of 2009 Workshop on Domain Driven Data Mining (Tentative)

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Important Dates

August 8, 2009
Extended deadline for full papers

September 8, 2009
Notification of paper acceptance to authors

September 28, 2009
Camera-ready of accepted papers

December 6, 2009
Workshop date

Program of 2009 Workshop on Domain Driven Data Mining (Tentative)

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(Authors of every accepted paper are expected to give a 20 minutes' presentation including Q&A.)

Date: Sunday, December 6, 2009

8:45am - 9:00am	Opening Address by Workshop Co-Chairs
9:00am - 10:00am	Keynote Speech A Domain Driven Approach to Transfer Learning by Qiang Yang
10:00am -10:30am	Coffee break
10:30am - 12:30pm	Session I – Involving Ubiquitous Intelligence Discovering Domain Specific Concepts within User-Generated Taxonomies by Jonathan Klinginsmith, Malika Mahoui, Yuqing Wu, and Josette Jones Integrating Knowledge in Search of Biologically Relevant Genes by Zheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, and Yung Chang Building Classifiers with Independency Constraints by Toon Calders, Faisal Kamiran, and Mykola Pechenizkiy A Game Theoretical Model for Adversarial Learning by Wei Liu and Sanjay Chawla A Paradigm Shift: Combined Literature and Ontology-driven Data Mining for Discovering Novel Relations in Biomedical Domain by Yakub Sebastian, Brian C.S. Loh, and Patrick H.H. Then
12:30pm-2:00pm	Lunch break
2:00pm - 4:00pm	Session II: Mining Complex Data and Applications Theoretical Study of the Relationship Between Diversity and Single-Class Measures for Class Imbalance Learning by Shuo Wang and Xin Yao Tree-based Approach to Missing Data Imputation by Peerapon Vateekul and Kanoksri Sarinnapakorn Discovery of Quantitative Sequential Patterns from Event Sequences by Fumiya Nakagaito, Tomonobu Ozaki, and Takenao Ohkawa Weighted Frequent Subgraph Mining in Weighted Graph Databases by Masaki Shinoda, Tomonobu Ozaki, and Takenao Ohkawa Detecting and Interpreting Variable Interactions in Observational Ornithology Data by Daria Sorokina, Rich Caruana, Mirek Riedewald, Wesley Hochachka, and Steve Kelling SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering by Mohammad Salim Ahmed and Latifur Khan
4:00pm – 4:30pm	Coffee break
4:30pm - 5:50pm	Session III: Domain-specific Applications High Quality True-Positive Prediction for Fiscal Fraud Detection by Stefano Basta, Fabioa Fassetti, Fosca Giannotti, Massimo Guarascio, Giuseppe Manco, Gianfilippo Papi, Dino Pedreschi, Stefano Pisani, and Laura Spinsanti Context Aware Sales Prediction by Indre Zliobaite, Jorn Bakker, and Mykola Pechenizkiy Information Extraction for Clinical Data Mining: A Mammography Case Study by Houssam Nassif, Ryan Woods, Elizabeth Burnside, Mehmet Ayvaci, Jude Shavlik, and David Page A New Minimal Supervised Learning Method for Semantic Term Classification - Experimental Results on Classifying Ratable Aspects discussed in Customer Reviews by Pham Thanh Thao Nguyen, Takahiro Hayashi, Rikio Onai, Yuhei Nishioka, Takamasa Takenaka, and Masaya Mori
5:50pm - 6:00pm	Closing remarks by Workshop Co-chairs