DMIN'09: July 14, 2009 Schedule

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6:45am - 5:00pm:  Registration (Second Floor, Conference Lobby: 1-5)


SESSION 3-DMIN:   REAL-WORLD DATA MINING APPLICATIONS, CHALLENGES, & PERSPECTIVES II
                  Chair: Dr. Mahmoud Abou-Nasr, Ford Motor Company, USA
                  July 14, 2009 (Tuesday); 08:00am - 10:20am
                  (LOCATION: Ballroom 1)

08:00 - 08:20am:  A Linear Integer Programming Approach to Objective Aware Feature Selection
                  Guangzhi Qu, Hui Wu, Tao Xia
                  Oakland University, USA

08:20 - 08:40am:  Data Mining in the Real World: Experiences, Challenges, and Recommendations
                  Gary Weiss
                  Fordham University, USA

08:40 - 09:00am:  Privacy Preserving Sharing of Data
                  Sreenivasa Rao S, Ram Prasad Reddy S, Ramana KV, Valli Kumari V, KVSVN Raju
                  India

09:00 - 09:20am:  Factors Influencing The Recovery of Alcohol Addicts
                  Keb Burn-Thornton and Tim Burman
                  Grey College University of Durham, UK

09:20 - 09:40am:  Are Decision Trees Always Greener on the Open (Source) Side of the Fence?
                  Samuel Moore, Daniel M. D'Addario, James Kurinskas, Gary Weiss
                  Fordham University, USA

09:40 - 10:00am:  Action Selection in Customer Value Optimization: Covariate-Dependent
                  Markov Decision Processes
                  Angi Roesch and Harald Schmidbauer
                  FOM University of Applied Sciences

10:00 - 10:20am:  Concurrent Agent-Enabled Extraction of Computational Fluid Dynamics (CFD)
                  Features in Simulation
                  Robert Woodley, Clifton Mortensen, Steven Gorrell
                  21st Century Systems, Inc. & BYU, USA

10:20 - 10:40am:  BREAK


SESSION 4-DMIN:   REAL-WORLD DATA MINING APPLICATIONS, CHALLENGES, & PERSPECTIVES III
                  Chair: Dr. Mahmoud Abou-Nasr, Ford Motor Company, USA
                  July 14, 2009 (Tuesday); 10:40am - 12:20pm
                  (LOCATION: Ballroom 1)

10:40 - 11:00am:  Distributed Frequent Pattern Mining Using Time-Slice Method
                  Fan Wu and Che Wei Yang
                  CCU, Taiwan

11:00 - 11:20am:  A Novel and Efficient Distributed Data Mining Algorithm Based on
                  Frequent Pattern-Tree
                  Fan Wu and Tz Ke Wu
                  CCU, Taiwan

11:20 - 11:40am:  Linked List Based High Utility Itemsets Mining Using Pattern Growth Method
                  Fan Wu and Kai-Chung Pai
                  CCU, Taiwan

11:40 - 12:00pm:  A Decision Support System Based on Data Mining for Pediatric
                  Cardiology Diagnosis
                  Paulo Adeodato, Tarc?sio Gurgel, Sandra Mattos
                  Federal University of Pernambuco NeuroTech Ltd., Brazil

12:00 - 12:20pm:  Name Entity Recognition and Classification in Medical Text Documents
                  Yinghao Huang, Yi Murphey, Naeem Seliya, Roy Friedenthal
                  University of Michigan, USA

12:20 - 01:20pm:  LUNCH (On Your Own)


SESSION 5-DMIN:   PREDICTIVE MODELLING I
                  Chair: Dr. Wolfram-M. Lippe, University of Muenster, Germany
                  July 14, 2009 (Tuesday); 01:20pm - 03:00pm
                  (LOCATION: Ballroom 1)                            

01:20 - 01:40pm:  Greedy Learning: Using Advantages of Disribution Functions to
                  Improve Generalization in ANNs
                  Kristina Davoian, Wolfram-M. Lippe
                  University of Muenster, Germany

01:40 - 02:00pm:  Rule-Based Linear Regression Machine
                  Olutayo Oladunni
                  Accenture Technology Labs

02:00 - 02:20pm:  An Experimental Study on a New Ensemble Method Using Robust and
                  Order Statistics
                  Hideo Hirose and Faisal Zaman
                  Kyushu Institute of Technology, Japan

02:20 - 02:40pm:  A Probabilistic Model of Pattern Recognition on Abstract Data
                  Chun-Hung Tzeng
                  Ball State University, USA

02:40 - 03:00pm:  Large Experiment and Evaluation Tool for WEKA Classifiers
                  Dustin Baumgartner and Gursel Serpen
                  University of Toledo, USA

03:00 - 03:20pm:  BREAK


SESSION 6-DMIN:   BUSINESS INTELLIGENCE & TEXT + WEB MINING
                  Chair: Dr. Gary M. Weiss, Fordham University, USA
                  July 14, 2009 (Tuesday); 03:20pm - 06:00pm
                  (LOCATION: Ballroom 1)

03:20 - 03:40pm:  A Graph-Based Similarity Metric and Validity Indices for
                  Clustering Non-Numeric and Unstructured ...
                  Chuan Zhao and Krishnamoorthy Sivakumar
                  Washington State University, USA

03:40 - 04:00pm:  Advanced Implementation Techniques for Scientific Datawarehouses
                  Pera Ganesh, Payyavula Gangadhar, A Vamsi
                  JNTU Hyderabad, India

04:00 - 04:20pm:  Using Social Ties to Predict Missing Customer Information
                  Stamatis Stefanakos
                  D1 Solutions AG

04:20 - 04:40pm:  AUTO Insurance Knowledge Mining
                  Sulaiman Al-Hudhaif
                  College of Business Administration King Saud University, Saudi Arabia

04:40 - 05:00pm:  Towards Online Personalized Foreseeing System by New Approach
                  through Web Usage Mining
                  Mehrdad Jalali and Norwati Mustapha
                  Putra University of Malaysia, Malaysia

05:00 - 05:20pm:  Improved k-NN Algorithm for Text Classification
                  Muhammed Miah
                  University of Texas at Arlington, Texas, USA

05:20 - 05:40pm:  On the Ranking of Text Documents From Large Corpuses
                  Houssain Kettani and Gregory Newby
                  Polytechnic University of Puerto Rico, Puerto Rico

05:40 - 06:00pm:  Learning a Hyperplane using Genetic Algorithm for Sentiment
                  Classification in Text
                  Gupta Anjum
                  Spawar Systems Center, San Diego, California, USA


06:00 - 09:30pm:  Tutorials (please see the list of tutorials)


06:00 - 09:00pm:  KEYNOTE & INVITED PRESENTATIONS + TUTORIALS
                  (Please see the lists at the begining of this booklet)

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