Data warehousing and knowledge discovery : ; proceedings 6th international conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004
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| Sprache: | Anglais |
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| Schriftenreihe: | Lecture notes in computer science
3181 |
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| Edition sous un autre format: | • Data warehousing and knowledge discovery, 6th international conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöss (eds.), Berlin, Springer, 2004, 1 vol. (XIV-412 p.), Lecture notes in computer science, 3-540-22937-X • Data Warehousing and Knowledge Discovery, Texte imprimé, 9783662180594 |
Inhaltsangabe:
- Data Warehousing Design
- 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
- Knowledge Discovery Framework and XML Data Minig
- 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
- Data Cubes and Queries
- 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
- Multidimensional Schema and Data Aggregation
- An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses
- A Partial Pre-aggregation Scheme for HOLAP Engines
- Discovering Multidimensional Structure in Relational Data
- Inductive Databases and Temporal Rules
- Inductive Databases as Ranking
- Inductive Databases of Polynomial Equations
- From Temporal Rules to Temporal Meta-rules
- Industrial Track
- How Is BI Used in Industry?: Report from a Knowledge Exchange Network
- Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments
- Data Clustering
- 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
- Data Visualizationand Exploration
- Categorical Data Visualization and Clustering Using Subjective Factors
- Multidimensional Data Visual Exploration by Interactive Information Segments
- Metadata to Support Transformations and Data & Metadata Lineage in a Warehousing Environment
- Data Classification, Extraction and Interpretation
- Classification Based on Attribute Dependency
- OWDEAH: Online Web Data Extraction Based on Access History
- Data Mining Approaches to Diffuse Large B Cell Lymphoma Gene Expression Data Interpretation
- Data Semantics
- Deriving Multiple Topics to Label Small Document Regions
- Deriving Efficient SQL Sequences via Read-Aheads
- Diversity in Random Subspacing Ensembles
- Association Rule Mining
- 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
- Mining Event Sequences
- PROWL: An Efficient Frequent Continuity Mining Algorithm on Event Sequences
- Algorithms for Discovery of Frequent Superset, Rather Than Frequent Subset
- Pattern Mining
- Improving Direct Counting for Frequent Itemset Mining
- Mining Sequential Patterns with Item Constraints
- Mining Borders of the Difference of Two Datacubes
- Mining Periodic Patterns in Sequence Data.