Technical Program DaWaK 2003


Wednesday, September 3, 2003


9.00 – 10.00                        Invited Talk


XML for Datawarehouses Chances and Challenges

Peter Fankhauser, Division Manager, GMD-IPSI, Germany


10.00 – 10.30 Coffee Break


Session 1:         Data Cubes and Queries

10.30 – 12.30


CPM: A Cube Presentation Model for OLAP

Andreas Maniatis, Panos Vassiliadis, Yannis Vassiliou (Greece)


Computation of Sparse Data cubes with Constraints

Changqing Chen, Jianlin Feng, Yucai Feng, Longgang Xiang (P.R. China)


Answering Joint Queries from Multiple Aggregate OLAP Databases

Elaheh Pourabbas, Arie Shoshani (Italy)


An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy

Long Zhang, Ying Li, Fangyan Rao, Xiulan Yu, Ying Chen, Dong Liu (P.R. China)


            12.30 – 14.00 Lunch


Session 2A:         Multidimensional Data Model

14.00 – 15.30


A Multidimensional Aggregation Object Framework For Computing Distributive Aggregations

Meng-Feng Tsai, Wesley Chu (USA.)


The GMD Data Model for Multidimensional Information

Enrico Franconi, Anand Kamble (Italy)


An Application of Case-Based Reasoning in Multidimensional Database Architecture

Dragan Simic, Vladimir Kurbalija, Zoran Budimac (Yugoslavia)


Session 2B:         Web Warehousing

14.00 – 15.30


MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems

Thanh Binh Nguyen, A Min Tjoa (Austria)


Designing web warehouses from XML schemas

Boris Vrdoljak, Marko Banek, Stefano Rizzi (Italy)


Building XML Data Warehouse Based on Frequent Patterns in User Queries

Ji Zhang , Tok Wang Ling, Robert M. Bruckner, A Min Tjoa (Singapore, Austria)


            15.30 – 16.00 Coffee Break


Session 3:         Change Detection

16.00 – 17.30


A Temporal Study of Data Sources to Load a Corporate Data Warehouse

Carme Martín, Alberto Abelló (Spain)


Automatic Detection of Structural Changes in Data Warehouses

Johann Eder, Christian Koncilia, Dieter Mitsche (Austria)


Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin

Rosana Lopes de Brito Assayag Rocha, Leonardo Figueiredo Cardoso, Jano M. de Souza (Brazil)



Thursday, September 4, 2003


Session 4:         Web Mining and Association Rule

9.00 – 10.00


Mining Interesting Knowledge from Weblogs: A Survey

Federico Michele Facca, Pier Luca Lanzi, Italy


Parallel Vector Computing Technique for the Very Large Scale Web Graph

Kikuko Kawase, Minoru Kawahara, Takeshi Iwashita, Hiroyuki Kawano, Masanori Kanazawa (Japan)


            10.00 – 10.30 Coffee Break


Session 5:         Association Rules and Decision Trees

10.30 – 12.30


Ordinal Association Rules towards Association Rules

Sylvie Guillaume (France)


Rough set-based Decision Tree model for Classification

Sonajharia Minz, Rajni Jain (India)


Inference Based Classifier: Building Decision Trees Efficiently for Categorical Attributes

Shih-Hsiang Lo, Ming-Syan Chen (Taiwan)


Generating Effective Classifiers with Supervised Learning of Genetic Programming

Been-Chian Chien, Jui-Hsiang Yang, Wen-Yang Lin (Taiwan)


            12.30 – 14.00 Lunch


Session 6:         Clustering I

14.00 – 15.30


Clustering by Regression Analysis

Masahiro Motoyoshi, Takao Miura, Isamu Shioya (Japan)


Handling large workloads by profiling and clustering

Matteo Golfarelli (Italy)


Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering

Kriegel Hans-Peter, Kröger Peer, Gotlibovich Irina (Germany)


            15.30 – 16.00 Coffee Break


Session 7A:         Clustering II

16.00 – 17.30


On Complementarity of Cluster and Oultier Detection Schemes

Zhixiang Chen, Ada Wai-Chee Fu, Jian Tang (Hong Kong)


Cluster Validity Using Support Vector Machines

V. Estivill-Castro, J. Yang (Australia)


FSSM: Fast Construction of the Optimized Segment Support Map

Kok-Leong Ong, Wee-Keong Ng, Ee-Peng Lim (Singapore)


Session 7B:            Association Rule Mining

16.00 – 17.30


Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps revisited

Michael Dittenbach, Dieter Merkl, Helmut Berger (Austria)


Parameterless Data Compression and Noise Filtering Using Association Rule Mining

Yew-Kwong Woon, Xiang Li, Wee-Keong Ng, Wen-Feng Lu (Singapore)


Performance Evaluation of SQL-OR variants for Association Rule Mining

P. Mishra, S. Chakravarthy (USA.)


Friday, September 5, 2003


Session 8:         Data Analysis and Discovery

9.00 – 10.00


A Distance-based Approach to Find Interesting Patterns

Chen zheng, Yanfen Zhao (Singapore)


Similarity Search in Structured Data

Hans-Peter Kriegel, Stefan Schönauer (Germany)


            10.00 – 10.30 Coffee Break


Session 9:         Ontologies and Improving Data Quality

10.30 – 12.00


Using Interest Ontology for Improved Support in Rule Mining

Xiaoming Chen, Xuan Zhou, Richard Scherl, James Geller (USA.)


Integrate deceiving intention prediction with fraud detection

Yuhui Zhong, Yunhua Lu, Bharat Bhargava (USA.)


Combining Noise Correction with Feature Selection

Choh Man Teng (USA.)


            12.30 – 14.00 Lunch


Session 10A:         Queries and Data Patterns

14.00 – 15.30


Pre-computing Approximate Hierarchical Range Queries in a Tree-Like Histogram

Francesco Buccafurri, Gianluca Lax (Italy)


Comprehensive Log Compression with Frequent Patterns

Kimmo Hätönen, Jean Francoise Boulicaut, Mika Klemettinen, Markus Miettinen,  Cyrille Masson (Finland)


Non recursive generation of frequent k-itemsets from frequent pattern tree representations

Mohammad El-Hajj, Osmar R. Zaiane (Canada)


Session 10B:         Improving Database Query Engine

14.00 – 15.30


A New Computation Model for Rough Set Theory Based on Database Systems

Jianchao Han, Xiaohua Hu, T. Y. Lin (USA)


Computing SQL subqueries with Boolean Aggregates

Antonio Badia (USA.)


Fighting Redundancy in SQL: the For-loop approach

Antonio Badia (USA.)


            15.30 – 16.00 Coffee Break


Session 11:         Sampling and Vector Classification

16.00 – 17.00


“On-the-fly” vs. Materialized Sampling and Heuristics

Pedro Furtado (Portugal)


Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients

Amund Tveit, Håvard Engum (Norway)