This book constitutes the refereed proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2009 held in Linz, Austria in August/September 2009.
The 36 revised full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections on data warehouse modeling, data streams, physical design, pattern mining, data cubes, data mining applications, analytics, data mining, clustering, spatio-temporal mining, rule mining, and OLAP recommendation.
Author(s): Laura M. Haas, Aya Soffer (auth.), Torben Bach Pedersen, Mukesh K. Mohania, A Min Tjoa (eds.)
Series: Lecture Notes in Computer Science 5691 : Information Systems and Applications, incl. Internet/Web, and HCI
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Language: English
Pages: 480
Tags: Database Management; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Information Systems Applications (incl.Internet); Information Systems and Communication Service; Pattern Recognition
Front Matter....Pages -
New Challenges in Information Integration....Pages 1-8
What Is Spatio-Temporal Data Warehousing?....Pages 9-23
Towards a Modernization Process for Secure Data Warehouses....Pages 24-35
Visual Modelling of Data Warehousing Flows with UML Profiles....Pages 36-47
CAMS: OLAPing Multidimensional Data Streams Efficiently....Pages 48-62
Data Stream Prediction Using Incremental Hidden Markov Models....Pages 63-74
History Guided Low-Cost Change Detection in Streams....Pages 75-86
HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data....Pages 87-98
A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses....Pages 99-110
Fast Loads and Fast Queries....Pages 111-124
TidFP: Mining Frequent Patterns in Different Databases with Transaction ID....Pages 125-137
Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation....Pages 138-150
Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?....Pages 151-162
A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets....Pages 163-176
Efficient Online Aggregates in Dense-Region-Based Data Cube Representations....Pages 177-188
BitCube: A Bottom-Up Cubing Engineering....Pages 189-203
Exact and Approximate Sizes of Convex Datacubes....Pages 204-215
Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures....Pages 216-228
Customer Churn Prediction for Broadband Internet Services....Pages 229-243
Mining High-Correlation Association Rules for Inferring Gene Regulation Networks....Pages 244-255
Extend UDF Technology for Integrated Analytics....Pages 256-270
High Performance Analytics with the R 3 -Cache....Pages 271-286
Open Source BI Platforms: A Functional and Architectural Comparison....Pages 287-297
Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing....Pages 298-311
Skyline View: Efficient Distributed Subspace Skyline Computation....Pages 312-324
HDB-Subdue: A Scalable Approach to Graph Mining....Pages 325-338
Mining Violations to Relax Relational Database Constraints....Pages 339-353
Arguing from Experience to Classifying Noisy Data....Pages 354-365
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data....Pages 366-377
The PDG-Mixture Model for Clustering....Pages 378-389
Clustering for Video Retrieval....Pages 390-401
Trends Analysis of Topics Based on Temporal Segmentation....Pages 402-414
Finding N-Most Prevalent Colocated Event Sets....Pages 415-427
Rule Learning with Probabilistic Smoothing....Pages 428-440
Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model....Pages 441-452
Recommending Multidimensional Queries....Pages 453-466
Preference-Based Recommendations for OLAP Analysis....Pages 467-478
Back Matter....Pages -
