DMIN'09: July 15, 2009 Schedule

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


SESSION 7-DMIN:   DATA PRE-PROCESSING
                  Chair: Dr. Gary M. Weiss, Fordham University, USA
                  July 15, 2009 (Wednesday); 08:00am - 10:20am
                  (LOCATION: Ballroom 1)

08:00 - 08:20am:  Efficient Record Linkage using a Double Embedding Scheme
                  Noha Adly
                  Alexandria University, Egypt

08:20 - 08:40am:  Fused Multi-Modal Deduplication
                  Sabra Dinerstein, Christophe Giraud-Carrier, Jared Dinerstein,
                  Parris Egbert
                  Brigham Young University, USA

08:40 - 09:00am:  A Combinatorial Fusion Method for Feature Construction
                  Ye Tian, Gary Weiss, D. Frank Hsu, Qiang Ma
                  New Jersey Institute of Technology, USA

09:00 - 09:20am:  Feature Extraction for Graph Datasets
                  Gideon Dror
                  The Academic College of Tel-Aviv-Yaffo, Israel

09:20 - 09:40am:  Influence of Noisy and High-Dimensional Data on Semi-Supervised Learning
                  Tianya Hou and Hyunjung Shin
                  Ajou University, Korea

09:40 - 10:00am:  View of Boosting as a Search for Randomness Deficiencies
                  Daniel Burfoot and Yasuo Kuniyoshi
                  University of Tokyo, Japan

10:00 - 10:20am:  A Tour of Advanced Data Mining Methodologies
                  Dr. Dan Steinberg (Michelle Fajardo)
                  President and CEO of Salford Systems

10:20 - 10:40am:  BREAK      


SESSION 8-DMIN:   PREDICTIVE MODELLING II
                  Chair: Dr. Wolfram-M. Lippe, University of Muenster, Germany
                  July 15, 2009 (Wednesday); 10:40am - 12:20noon
                  (LOCATION: Ballroom 1)

10:40 - 11:00am:  Formal Model for Fault Recognition Problem in Modern
                  Telecommunication Networks
                  Jacques Bellec and Tahar Kechadi
                  UCD Dublin School of Computer Science, Ireland

11:00 - 11:20am:  Evaluating Algorithms for Concept Description
                  Cecilia Sonstrod, Ulf Johansson, Tuve Lofstrom
                  School of Business and Informatics, HB, Sweden

11:20 - 11:40pm:  Generation of Weak Models in Stochastic Discrimination
                  Skrypnyk Iryna
                  University of Jyvaskyla, Finland

11:40 - 12:00pm:  Identifying Subscribers with Multi-Split Fuzzy Decision Trees
                  Jaya Suma and Dr. M. Shashi
                  GITAM University, India

12:00 - 12:20pm:  On The Usage of Data Mining as a Descriptive and Predictive Tool
                  for Cancer Management in Jordan: A ...
                  Asem Omari and Issa Hweidi
                  Jerash Private University, Germany

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


SESSION 9-DMIN:   UNSUPERVISED DATA MINING
                  Chair: Dr. Robert Stahlbock, University of Hamburg, Germany
                  July 15, 2009 (Wednesday); 01:20pm - 03:00pm
                  (LOCATION: Ballroom 1)

01:20 - 01:40pm:  Opportunistic Consensus Clustering
                  Arko Banerjee
                  LNMIIT

01:40 - 02:00pm:  A Sparse Coding Based Similarity Measure
                  Sebastian Klenk and Gunther Heidemann
                  AIS - University of Stuttgart, Germany

02:00 - 02:20pm:  Outlier Detection for Large High-Dimensional Data Using
                  Non-Derivable and Non-Almost-Derivable Sets
                  Anna Koufakou, Jimmy Secretan, Michael Georgiopoulos
                  University of Central Florida, Florida, USA

02:20 - 02:40pm:  Students Allocation System Based On Fuzzy C-means Algorithm
                  Kyaweiei Swe and Sint Sint Aung
                  University of Computer Studies, Myanmar

02:40 - 03:00pm:  Learning a Similarity Measures to Objectively Evaluate Image
                  Segmentation Quality
                  Gupta Anjum
                  Spawar Systems Center, San Diego, California, USA

03:00 - 03:20pm:  BREAK


SESSION 10-DMIN:  ASSOCIATE RULE MINING & DATA MINING FOR TIME SERIES DATA - FORECASTING, CLASSIFICATION & CLUSTERING
                  Co-Chairs: Dr. Sven F. Crone and Dr. Nikolaos Kourentzes
                  Lancaster University Management School, UK
                  July 15, 2009 (Wednesday); 03:20pm - 06:00pm
                  (LOCATION: Ballroom 1)

03:20 - 03:40pm:  Mining Frequent Itemsets by Transaction Decomposition with
                  Itemset Clustering
                  Ke-Chung Lin, I-En Liao, Hong-Bin Chen
                  NCHU, Taiwan

03:40 - 04:00pm:  Pruning for Extracting Class Association Rules without Candidate
                  Emna Bahri and Stephane Lallich
                  ERIC Laboratory University of Lyon, France

04:00 - 04:20pm:  Incorporating Conditional Probability Functions in Time-Dependent
                  Bayesian Networks
                  Dung Lam and Cheryl Martin
                  Applied Research Laboratories University of Texas at Austin, Texas, USA

04:20 - 04:40pm:  ATM's Daily Cash Money Demand Forecasting with Recurrent Neural Networks
                  Mahmoud Abou-Nasr
                  Ford Motor Company, USA

04:40 - 05:00pm:  Mining Sequential Episodes from Segmentation of Multivariate Time Series
                  Li Wan, Jianxin Liao, Xiaomin Zhu
                  State Key Laboratory of Networking

05:00 - 05:20pm:  Forecasting Seasonal Time Series with Multilayer Perceptrons - An
                  Empirical Evaluation of Input Vector Specifications For
                  Deterministic Seasonality
                  Sven F. Crone and Nikolaos Kourentzes
                  Deputy Director, Lancaster Research Centre for Forecasting,
                  Lancaster University Management School, UK

05:20 - 05:40pm:  Network-Wide Analysis Using Spatio-Temporal Association Rules Mining
                  He Weisong and Hu Guangmin
                  UESTC, P. R. China

05:40 - 06:00pm:  Abnormal Process State Detection by Cluster Center Point Monitoring
                  in BWR Nuclear Power Plant
                  Jaakko Talonen and Miki Sirola
                  Helsinki University of Technology (CIS), Finland


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

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