10.00 –
11.00 Invited Talk
Chair:
Title: Autonomic Computing: Database Management Perspective
11.00 – 11.30 Coffee Break
Session
1A: Data Warehousing Design
11.30 – 13.30 Chair:
Conceptual Design of XML Document Warehouses
Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses
GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas
Workload-based Placement and Join Processing in Node-Partitioned Data Warehouses
Session
1B: Knowledge Discovery
Framework and XML Data Mining
11.30 – 13.30 Chair: Wolfram Wöß, Austria
Novelty Framework for Knowledge Discovery in Databases
Revisiting Generic bases of Association Rules
Mining Maximal Frequently Changing Subtree Patterns from XML Documents
Discovering Pattern-based Dynamic Structures from Versions of Unordered XML Documents
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
Answering
Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic
Guarantees
Computing
Complex Iceberg Cubes by Multiway Aggregation and Bounding
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
A Partial Pre-Aggregation Scheme for HOLAP Engines
Discovering Multidimensional Structure in Relational Data
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
Inductive
Databases of Polynomial Equations
From Temporal
Rules to Temporal Meta-Rules
Session
3B: Industrial Track
17.00 – 18.00 Chair: Mukesh Mohania, India
How is BI
Used in Industry?: Report from a Knowledge Exchange Network
Towards An Adaptive Approach for Mining Data Streams in Resource Constrained Environments
Session
4A: Data Clustering
11.30 –
13.00 Chair: Werner
Winiwarter, Austria
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences
SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes
Novel Clustering Approach that Employs Genetic Algorithm with New Representation
Scheme and Multiple Objectives
Session
4B: Data Visualization and
Exploration
11.30 – 13.00 Chair: Show-Jane Yen, Taiwan
Categorical Data Visualization and Clustering with Subjective Factors
Interactive Visual Mulltidimensional Data Exploration by Information Segments
Metadata to Support Transformation and Data & Metadata Lineage in a Warehousing Environment
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
Data Mining Approaches to Diffuse Large B-cell Lymphoma Gene Expression Data Interpretation
Classification Based on Attribute Dependency
Mining Sequential Patterns with Item Constraints
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
Deriving
Efficient SQL Sequences Via Read-Aheads
Diversity in
Random Subspacing Ensembles
Session
7: Association Rule
Mining
11.30 – 13.00 Chair: Wolfram Wöß, Austria
Partitioned Approach to Association Rule Mining over Multiple Databases
A tree Partitioning Method for Memory Management in Association Rule Mining
Mining Interesting Association Rules for Prediction in the Software Project Management Area
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
Algorithms for Discovery of Frequent Superset,
rather than Frequent Subset
Improving Direct Counting for Frequent Itemset Mining
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
Mining Periodic Patterns in Sequences Data