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E-grāmata: Data Warehousing and Knowledge Discovery: 11th International Conference, DaWaK 2009 Linz, Austria, August 31-September 2, 2009 Proceedings

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Data warehousing and knowledge discovery are increasingly becoming mission-critical technologies for most organizations, both commercial and public, as it becomes incre- ingly important to derive important knowledge from both internal and external data sources. With the ever growing amount and complexity of the data and information available for decision making, the process of data integration, analysis, and knowledge discovery continues to meet new challenges, leading to a wealth of new and exciting research challenges within the area. Over the last decade, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has established itself as one of the most important international scientific events within data warehousing and knowledge discovery. DaWaK brings together a wide range of researchers and practitioners working on these topics. The DaWaK conference series thus serves as a leading forum for discu- ing novel research results and experiences within data warehousing and knowledge th discovery. This years conference, the 11 International Conference on Data Wa- housing and Knowledge Discovery (DaWaK 2009), continued the tradition by d- seminating and discussing innovative models, methods, algorithms, and solutions to the challenges faced by data warehousing and knowledge discovery technologies.
Invited Talk
New Challenges in Information Integration
1(8)
Laura M. Haas
Aya Soffe
Data Warehouse Modeling
What is Spatio-Temporal Data Warehousing?
9(15)
Alejandro Vaisman
Esteban Zimanyi
Towards a Modernization Process for Secure Data Warehouses
24(12)
Carlos Blanco
Ricardo Perez-Castillo
Arnulfo Hernandez
Eduardo Fernandez-Madina
Juan Trujillo
Visual Modelling of Data Warehousing Flows with UML Profiles
36(12)
Jesus Pardillo
Matteo Golfarelli
Stefano Rizzi
Juan Trujillo
Data Strems
CAMS: OLAPing Multidimensional Data Streams Efficiently
48(15)
Alfredo Cuzzocrea
Data Stream Prediction Using Incremental Hidden Markov Models
63(12)
Kei Wakabayashi
Takao Miura
History Guided Low-Cost Change Detection in Streams
75(12)
Weiyun Huang
Edward Omiecinski
Leo Mark
Minh Quoc Nguyen
Physical Design
HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data
87(12)
Jan Chmiel
Tadeusz Morzy
Robert Wrembel
A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses
99(12)
Ladjel Bellatreche
Soumia Benkrid
Fast Loads and Fast Queries
111(14)
Goetz Graefe
Pattern Mining
TidFP: Mining Frequent Patterns in Different Databases with Transaction ID
125(13)
C.I. Ezeife
Dan Zhang
Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation
138(13)
Marzena Kryszkiewicz
Which is Better for Frequent Pattern Mining: Approximate Counting or Sampling?
151(12)
Willie Ng
Manoranjan Dash
A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets
163(14)
Minh Quoc Nguyen
Edward Omiecinski
Leo Mark
Data Cubes
Efficient Online Aggregates in Dense-Region-Based Data Cube Representations
177(12)
Kais Haddadin
Tobias Lauer
BitCube: A Bottom-Up Cubing Engineering
189(15)
Alfredo Ferro
Rosalba Giugno
Piera Laura Puglisi
Alfredo Pulvirenti
Exact and Approximate Sizes of Convex Datacubes
204(12)
Sebastien Nedjar
Data Mining Applications
Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures
216(13)
Isis Pena
Herna L. Viktor
Eric Paquet
Customer Churn Prediction for Broadband Internet Services
229(15)
B.Q. Huang
M.-T. Kechadi
B. Buckley
Mining High-Correlation Association Rules for Inferring Gene Regulation Networks
244(12)
Xuequn Shang
Quian Zhao
Zhanhuai Li
Analytics
Extend UDF Technology for Integrated Analytics
256(15)
Qiming Chen
Meichun Hsu
Rui Liu
High Performance Analytics with the R3-Cache
271(16)
Todd Eavis
Ruhan Sayeed
Open Source BI Platforms: A Functional and Architectural Comparison
287(11)
Matteo Golfarelli
Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing
298(14)
Matthias Kehlenbeck
Michael H. Breitner
Data Mining
Skyline View: Efficient Distributed Subspace Skyline Computation
312(13)
Jinhan Kim
Jongwuk Lee
Seung-Won Hwang
HDB-Subdue: A Scalable Approach to Graph Mining
325(14)
Srihari Padmanabhan
Sharma Chakravarthy
Mining Violations to Relax Relational Database Constraints
339(15)
Mirjana Mazuran
Elisa Quintarelli
Rosalba Rossato
Letizia Tanca
Arguing from Experience to Classifying Noisy Data
354(12)
Maya Wardeh
Frans Coenen
Trevor Bench-Capon
Clustering
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
366(12)
Vadim V. Ayuyev
Joseph Jupin
Philip W. Harris
Zoran Obradovic
The PDG-Mixture Model for Clustering
378(12)
M. Julia Flores
Jose A. Gamez
Jens D. Nielsen
Clustering for Video Retrieval
390(12)
Petr Chmelar
Ivana Rudolfova
Jaroslav Zendulka
Spatio-Temporal Mining
Trends Analysis of Topics Based on Temporal Segmentation
402(13)
Wei Chen
Parvathi Chundi
Finding N-Most Prevalent Colocated Event Sets
415(13)
Jin Soung Yoo
Mark Bow
Rule Mining
Rule Learning with Probabilistic Smoothing
428(13)
Gianni Costa
Massimo Guarascio
Giuseppe Manco
Riccardo Ortale
Ettore Ritacco
Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model
441(12)
Leila Ben Othman
Francois Rioult
Sadok Ben Yahia
Bruno Cremilleux
Olap Recommendation
Recommending Multidimensional Queries
453(14)
Arnaud Giacometti
Patrick Marcel
Elsa Negre
Preference-Based Recommendations for OLAP Analysis
467(12)
Houssem Jerbi
Franck Ravat
Olivier Teste
Gilles Zurflush
Author Index 479