9. DaWaK 2007: Regensburg, Germany

Data Warehouse Architecture

• Todd Eavis, David Cueva:
  A Hilbert Space Compression Architecture for Data Warehouse Environments. 1-12
  
• Cécile Favre, Fadila Bentayeb, Omar Boussaid:
  Evolution of Data Warehouses' Optimization: A Workload Perspective. 13-22
  
• George Papastefanatos, Panos Vassiliadis, Alkis Simitsis, Yannis Vassiliou:
  What-If Analysis for Data Warehouse Evolution. 23-33
  

Data Warehouse Quality

• José Farinha, Maria José Trigueiros:
  An Extensible Metadata Framework for Data Quality Assessment of Composite Structures. 34-44
  
• Marko Banek, Boris Vrdoljak, A. Min Tjoa, Zoran Skocir:
  Automating the Schema Matching Process for Heterogeneous Data Warehouses. 45-54
  
• Wugang Xu, Dimitri Theodoratos, Calisto Zuzarte, Xiaoying Wu, Vincent Oria:
  A Dynamic View Materialization Scheme for Sequences of Query and Update Statements. 55-65
  

Multidimensional Database

• Salvatore Orlando, Renzo Orsini, Alessandra Raffaetà, Alessandro Roncato, Claudio Silvestri:
  Spatio-temporal Aggregations in Trajectory Data Warehouses. 66-77
  
• Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu:
  Computing Join Aggregates over Private Tables. 78-88
  
• Guillaume Cabanac, Max Chevalier, Franck Ravat, Olivier Teste:
  An Annotation Management System for Multidimensional Databases. 89-98
  

Data Warehouse and OLAP

• Oscar Romero, Alberto Abelló:
  On the Need of a Reference Algebra for OLAP. 99-110
  
• Svetlana Mansmann, Thomas Neumuth, Marc H. Scholl:
  OLAP Technology for Business Process Intelligence: Challenges and Solutions. 111-122
  
• Véronique Cariou, Jérôme Cubillé, Christian Derquenne, Sabine Goutier, Françoise Guisnel, Henri Klajnmic:
  Built-In Indicators to Automatically Detect Interesting Cells in a Cube. 123-134
  
• Sébastien Nedjar, Alain Casali, Rosine Cicchetti, Lotfi Lakhal:
  Emerging Cubes for Trends Analysis in OlapDatabases. 135-144
  

Query Optimization

• Apostolos N. Papadopoulos, Apostolos Lyritsis, Alexandros Nanopoulos, Yannis Manolopoulos:
  Domination Mining and Querying. 145-156
  
• Nittaya Kerdprasop, Kittisak Kerdprasop:
  Semantic Knowledge Integration to Support Inductive Query Optimization. 157-169
  
• Fangling Leng, Yubin Bao, Daling Wang, Ge Yu:
  A Clustered Dwarf Structure to Speed Up Queries on Data Cubes. 170-180
  

Data Warehousing and Data Mining

• Alfredo Cuzzocrea:
  An OLAM-Based Framework for Complex Knowledge Pattern Discovery in Distributed-and-Heterogeneous-Data-Sources and Cooperative Information Systems. 181-198
  
• José Jacobo Zubcoff, Jesús Pardillo, Juan Trujillo:
  Integrating Clustering Data Mining into the Multidimensional Modeling of Data Warehouses with UML Profiles. 199-208
  
• Veronika Stefanov, Beate List:
  A UML Profile for Representing Business Object States in a Data Warehouse. 209-220
  
• Ladjel Bellatreche, Rokia Missaoui, Hamid Necir, Habiba Drias:
  Selection and Pruning Algorithms for Bitmap Index Selection Problem Using Data Mining. 221-230
  

Clustering

• Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng Chen, Oner Ulvi Celepcikay, Christian Giusti, Christoph F. Eick:
  MOSAIC: A Proximity Graph Approach for Agglomerative Clustering. 231-240
  
• Yannis Marinakis, Magdalene Marinaki, Nikolaos F. Matsatsinis:
  A Hybrid Particle Swarm Optimization Algorithm for Clustering Analysis. 241-250
  
• MinTzu Wang, PingYu Hsu, K. C. Lin, ShiuannShuoh Chen:
  Clustering Transactions with an Unbalanced Hierarchical Product Structure. 251-261
  
• Haytham Elghazel, Khalid Benabdeslem, Alain Dussauchoy:
  Constrained Graph b-Coloring Based Clustering Approach. 262-271
  

Association Rules

• Ben Stephenson:
  An Efficient Algorithm for Identifying the Most Contributory Substring. 272-282
  
• Show-Jane Yen, Yue-Shi Lee:
  Mining High Utility Quantitative Association Rules. 283-292
  
• Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Nguifo, Slim Bouker:
  Extraction of Association Rules Based on Literalsets. 293-302
  

Healthcare and Biomedical Applications

• Alberto Freitas, Altamiro da Costa Pereira, Pavel Brazdil:
  Cost-Sensitive Decision Trees Applied to Medical Data. 303-312
  
• Xiaodan Zhang, Xiaohua Hu, Jiali Xia, Xiaohua Zhou, Palakorn Achananuparp:
  Utilization of Global Ranking Information in Graph- Based Biomedical Literature Clustering. 313-322
  
• Tran Quoc Dung, Wataru Kameyama:
  Ontology-Based Information Extraction and Information Retrieval in Health Care Domain. 323-333
  

Classification

• Mohammad Khabbaz, Kievan Kianmher, Mohammed Al-Shalalfa, Reda Alhajj:
  Fuzzy Classifier Based Feature Reduction for Better Gene Selection. 334-344
  
• Manoranjan Dash, Vivekanand Gopalkrishnan:
  Two Way Focused Classification. 345-354
  
• Sebastian D. C. de O. Galvão, Estevam R. Hruschka Jr.:
  A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms. 355-364
  
• Marko Brunzel:
  Learning of Semantic Sibling Group Hierarchies - K-Means vs. Bi-secting-K-Means. 365-374
  

Partitioning

• Ronnie Alves, Orlando Belo, Joel Ribeiro:
  Mining Top-K Multidimensional Gradients. 375-384
  
• Zhidan Feng, Xiaowei Xu, Nurcan Yuruk, Thomas A. J. Schweiger:
  A Novel Similarity-Based Modularity Function for Graph Partitioning. 385-396
  
• Zi Huang, Heng Tao Shen, Xiaofang Zhou, Jie Shao:
  Dual Dimensionality Reduction for Efficient Video Similarity Search. 397-406
  

Privacy and Crytography

• Shuguo Han, Wee Keong Ng:
  Privacy-Preserving Genetic Algorithms for Rule Discovery. 407-417
  
• Dragos Trinca, Sanguthevar Rajasekaran:
  Fast Cryptographic Multi-party Protocols for Computing Boolean Scalar Products with Applications to Privacy-Preserving Association Rule Mining in Vertically Partitioned Data. 418-427
  
• Shuguo Han, Wee Keong Ng:
  Privacy-Preserving Self-Organizing Map. 428-437
  

Miscellaneous Knowledge Discovery Techniques

• Rodrigo Salvador Monteiro, Geraldo Zimbrão, Holger Schwarz, Bernhard Mitschang, Jano Moreira de Souza:
  DWFIST: Leveraging Calendar-Based Pattern Mining in Data Streams. 438-448
  
• Liqiang Geng, Howard J. Hamilton, Larry Korba:
  Expectation Propagation in GenSpace Graphs for Summarization. 449-458
  
• Sandra de Amo, Arnaud Giacometti, Waldecir Pereira Junior:
  Mining First-Order Temporal Interval Patterns with Regular Expression Constraints. 459-469
  
• Hoyoung Jeung, Heng Tao Shen, Xiaofang Zhou:
  Mining Trajectory Patterns Using Hidden Markov Models. 470-480
  

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