Technical Program DaWaK 2004


Wednesday, September 1, 2004


10.00 – 11.00             Invited Talk

                                 Chair: Mukesh Mohania, India


Title: Autonomic Computing: Database Management Perspective

Kazuo Iwano, IBM Tokyo Research Lab, Japan


           11.00 – 11.30 Coffee Break


Session 1A:               Data Warehousing Design

11.30 – 13.30                 Chair: Mukesh Mohania, India


Conceptual Design of XML Document Warehouses

Vicky Nassis, R. Rajugan, Tharam S. Dillon, Wenny J. Rahayu; Australia


Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses

Ladjel Bellatreche, Michel Schneider, Hervé Lorinquer, Mukesh Mohania; France, India


GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas

Robson N. Fidalgo, Valéria C. Times, Joel Silva, Fernando F. Souza; Brazil


Workload-based Placement and Join Processing in Node-Partitioned Data Warehouses

Pedro Furtado; Portugal


Session 1B:               Knowledge Discovery Framework and XML Data Mining

11.30 – 13.30                 Chair: Wolfram Wöß, Austria


Novelty Framework for Knowledge Discovery in Databases

Ahmed Sultan Al-Hegami, Vasudha Bhatnagar, Naveen Kumar; India


Revisiting Generic bases of Association Rules

Sadok Ben Yahia, Engelbert Mephu Nguifo; Tunisia, France


Mining Maximal Frequently Changing Subtree Patterns from XML Documents

Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia; Singapore


Discovering Pattern-based Dynamic Structures from Versions of Unordered XML Documents

Qiankun Zhao, Souarv. S. Bhowmick, Sanjay Madria; Singapore, USA


           13.30 – 15.00 Lunch


Session 2A:               Data Cubes and Queries

15.00 – 16.30                 Chair: Jorge Bernardino, Portugal


Space-Efficient Range-Sum Queries in OLAP

Fredrik Bengtsson, Jingsen Chen; Sweden


Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees

Alfredo Cuzzocrea, Wei Wang, Ugo Matrangolo; Italy, Australia


Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding

LienHua Pauline Chou, Xiuzhen Zhang; Australia


Session 2B:               Multidimensional Schema and Data Aggregation

15.00 – 16.30                 Chair: Wolfram Wöß, Austria


An Aggregate-aware Retargeting Algorithm for Multiple Fact Data Warehouses

Karin Becker, Duncan Dubugras Ruiz; Brazil


A Partial Pre-Aggregation Scheme for HOLAP Engines

Wo-Shun Luk, Chao Li; Canada


Discovering Multidimensional Structure in Relational Data

Mikael R. Jensen, Thomas Holmgren, Torben Bach Pedersen; Denmark


           16.30 – 17.00 Coffee Break


Session 3A:               Inductive Databases and Temporal Rules

17.00 – 18.30                 Chair: Wolfram Wöß, Austria


Inductive Databases as Ranking

Taneli Mielikäinen; Finland


Inductive Databases of Polynomial Equations

Sašo Džeroski, Ljupčo Todorovski, Peter Ljubič; Slovenia


From Temporal Rules to Temporal Meta-Rules

Paul Cotofrei, Kilian Stoffel; Switzerland


Session 3B:               Industrial Track

17.00 – 18.00                 Chair: Mukesh Mohania, India


How is BI Used in Industry?: Report from a Knowledge Exchange Network

Torben Bach Pedersen; Denmark


Towards An Adaptive Approach for Mining Data Streams in Resource Constrained Environments

Mohamed Medhat Gaber, Arkady Zaslavsky and Shonali Krishnaswamy; Australia



Thursday, September 2, 2004


Session 4A:               Data Clustering

11.30 – 13.00                 Chair: Werner Winiwarter, Austria


Exploring Possible Adverse Drug Reactions by Clustering Event Sequences

Hongxing He, Graham Williams, Jie Chen, Simon Hawkins, Chris Kelman; Australia


SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes

Kok-Leong Ong, Wenyuan Li, Wee-Keong Ng, Ee-Peng Lim; Australia, Singapore


Novel Clustering Approach that Employs Genetic Algorithm with New Representation

Scheme and Multiple Objectives

Jun Du, Erkan Korkmaz, Reda Alhajj, Ken Barker; Canada


Session 4B:               Data Visualization and Exploration

11.30 – 13.00                 Chair: Show-Jane Yen, Taiwan


Categorical Data Visualization and Clustering with Subjective Factors

Zhi-Kai Ding, Chia-Hui Chang; Taiwan


Interactive Visual Mulltidimensional Data Exploration by Information Segments

Francisco J. Ferrer-Troyano, Jésus S. Aguilar-Ruiz, José C. Riquelme; Spain


Metadata to Support Transformation and Data & Metadata Lineage in a Warehousing Environment

Aurisan Souza de Santana, Ana Maria de Carvalho Moura ; Brazil


           13.00 – 15.00 Lunch


Session 5:                  Data Classification, Extraction and Interpretation

15.00 – 16.45                 Chair: Werner Winiwarter, Austria


OWDEAH: Online Web Data Extraction based on Access History

Zhao Li, Wee Keong Ng, Kok-Leong Ong; Singapore, Australia


Data Mining Approaches to Diffuse Large B-cell Lymphoma Gene Expression Data Interpretation

Jesus S. Aguilar-Ruiz, Francisco Azuaje, Jose C. Riquelme; Spain


Classification Based on Attribute Dependency

Yue-Shi Lee, Show-Jane Yen; China


Mining Sequential Patterns with Item Constraints

Show-Jane Yen, Yue-Shi Lee; Taiwan


           16.45 – 17.00 Coffee Break


Session 6:                  Data Semantics

17.00 – 18.30                 Chair: A Min Tjoa, Austria


Deriving Multiple Topics to Label Small Document Regions

Henner Graubitz, Myra Spiliopoulou; Germany


Deriving Efficient SQL Sequences Via Read-Aheads

Ahmet Soydan Bilgin, Rada Y. Chirkova, Timo J. Salo, Munindar P. Singh; USA


Diversity in Random Subspacing Ensembles

Alexey Tsymbal, Mykola Pechenizkiy, Pádraig Cunningham; Ireland, Finland



Friday, September 3, 2004


Session 7:                  Association Rule Mining

11.30 – 13.00                 Chair: Wolfram Wöß, Austria


Partitioned Approach to Association Rule Mining over Multiple Databases

Himavalli Kona, Sharma Chakravarthy; USA


A tree Partitioning Method for Memory Management in Association Rule Mining

Shakil Ahmed, Frans Coenen, Paul Leng; United Kingdom


Mining Interesting Association Rules for Prediction in the Software Project Management Area

Maria N. Moreno Garcia, Francisco J. Garcia Peñalvo, M. José Polo Martin; Spain


           13.00 – 15.00 Lunch


Session 8:                  Mining Event Sequences

15.00 – 16.30                 Chair: Mukesh Mohania, India


PROWL: An Efficient Frequent Continuity Mining Algorithm on Event Sequence

Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin; Taiwan


Algorithms for Discovery of Frequent Superset, rather than Frequent Subset

Zhung-Xun Liao, Man-Kwan Shan; Taiwan


Improving Direct Counting for Frequent Itemset Mining

Adriana Prado, Cristiane Targa, Alexandre Plastino; Brazil


           16.30 – 17.00 Coffee Break


Session 9:                  Pattern Mining

17.00 – 18.00                 Chair: A Min Tjoa, Austria


Mining Borders of the Difference of Two Datacubes

Alain Casali; France


Mining Periodic Patterns in Sequences Data

Kuo-Yu Huang, Chia-Hui Chang; Taiwan