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ORCID9th DaWaK 2007: Regensburg, Germany
- Il Yeal Song, Johann Eder, Tho Manh Nguyen:
Data Warehousing and Knowledge Discovery, 9th International Conference, DaWaK 2007, Regensburg, Germany, September 3-7, 2007, Proceedings. Lecture Notes in Computer Science 4654, Springer 2007, ISBN 978-3-540-74552-5
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, Ping Yu 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, Keivan Kianmehr, 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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