Data Warehousing and Knowledge Discovery 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006. Proceedings /
For more than a decade, data warehousing together with knowledge discovery technology have made up the key technology for the decision-making process in companies. Since 1999, due to the relevant role of these technologies in academia and industry, the Data Warehousing and Knowledge Discovery (DaWaK...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
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| Σειρά: | Lecture Notes in Computer Science,
4081 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- ETL Processing
- ETLDiff: A Semi-automatic Framework for Regression Test of ETL Software
- Applying Transformations to Model Driven Data Warehouses
- Bulk Loading a Linear Hash File
- Materialized View
- Dynamic View Selection for OLAP
- Preview: Optimizing View Materialization Cost in Spatial Data Warehouses
- Preprocessing for Fast Refreshing Materialized Views in DB2
- Multidimensional Design
- A Multiversion-Based Multidimensional Model
- Towards Multidimensional Requirement Design
- Multidimensional Design by Examples
- OLAP and Multidimensional Model
- Extending Visual OLAP for Handling Irregular Dimensional Hierarchies
- A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes
- Analysing Multi-dimensional Data Across Autonomous Data Warehouses
- What Time Is It in the Data Warehouse?
- Cubes Processing
- Computing Iceberg Quotient Cubes with Bounding
- An Effective Algorithm to Extract Dense Sub-cubes from a Large Sparse Cube
- On the Computation of Maximal-Correlated Cuboids Cells
- Data Warehouse Applications
- Warehousing Dynamic XML Documents
- Integrating Different Grain Levels in a Medical Data Warehouse Federation
- A Versioning Management Model for Ontology-Based Data Warehouses
- Data Warehouses in Grids with High QoS
- Mining Techniques (1)
- Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
- Efficient Mining of Dissociation Rules
- Optimized Rule Mining Through a Unified Framework for Interestingness Measures
- An Information-Theoretic Framework for Process Structure and Data Mining
- Mining Techniques (2)
- Mixed Decision Trees: An Evolutionary Approach
- ITER: An Algorithm for Predictive Regression Rule Extraction
- COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
- Frequent Itemsets
- A Greedy Approach to Concurrent Processing of Frequent Itemset Queries
- Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
- EStream: Online Mining of Frequent Sets with Precise Error Guarantee
- Mining Data Streams
- Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams
- Classification of Hidden Network Streams
- Adaptive Load Shedding for Mining Frequent Patterns from Data Streams
- An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
- Ontology-Based Mining
- Learning Classifiers from Distributed, Ontology-Extended Data Sources
- A Coherent Biomedical Literature Clustering and Summarization Approach Through Ontology-Enriched Graphical Representations
- Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature
- Clustering
- Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures
- Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
- Calculation of Density-Based Clustering Parameters Supported with Distributed Processing
- Cluster-Based Sampling Approaches to Imbalanced Data Distributions
- Advanced Mining Techniques
- Efficient Mining of Large Maximal Bicliques
- Automatic Image Annotation by Mining the Web
- Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data
- Association Rules
- Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP
- Difference Detection Between Two Contrast Sets
- EGEA : A New Hybrid Approach Towards Extracting Reduced Generic Association Rule Set (Application to AML Blood Cancer Therapy)
- Miscellaneous Applications
- AISS: An Index for Non-timestamped Set Subsequence Queries
- A Method for Feature Selection on Microarray Data Using Support Vector Machine
- Providing Persistence for Sensor Data Streams by Remote WAL
- Classification
- Support Vector Machine Approach for Fast Classification
- Document Representations for Classification of Short Web-Page Descriptions
- GARC: A New Associative Classification Approach
- Conceptual Modeling for Classification Mining in Data Warehouses.
