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ORCID13th DaWaK 2011: Toulouse, France
- Alfredo Cuzzocrea
, Umeshwar Dayal:
Data Warehousing and Knowledge Discovery - 13th International Conference, DaWaK 2011, Toulouse, France, August 29-September 2,2011. Proceedings. Lecture Notes in Computer Science 6862, Springer 2011, ISBN 978-3-642-23543-6
Physical and Conceptual Data Warehouse Models
- João Pedro Costa, José Cecílio, Pedro Martins, Pedro Furtado:
ONE: A Predictable and Scalable DW Model. 1-13 - Bernhard Jaecksch, Wolfgang Lehner:
The Planning OLAP Model - A Multidimensional Model with Planning Support. 14-25 - Rui Oliveira, Fátima Rodrigues, Paulo Martins, João-Paulo Moura:
Extending the Dimensional Templates Approach to Integrate Complex Multidimensional Design Concepts. 26-38 - Ganesh Viswanathan, Markus Schneider:
OLAP Formulations for Supporting Complex Spatial Objects in Data Warehouses. 39-50
Data Warehousing Design Methodologies and Tools
- Geneviève Pujolle, Franck Ravat, Olivier Teste, Ronan Tournier, Gilles Zurfluh:
Multidimensional Database Design from Document-Centric XML Documents. 51-65 - Matteo Golfarelli, Stefano Rizzi, Elisa Turricchia:
Modern Software Engineering Methodologies Meet Data Warehouse Design: 4WD. 66-79 - Oscar Romero, Alkis Simitsis, Alberto Abelló:
GEM: Requirement-Driven Generation of ETL and Multidimensional Conceptual Designs. 80-95
ETL Methodologies and Tools
- Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen:
ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce. 96-111 - Lívia de S. Ribeiro, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti:
Complementing Data in the ETL Process. 112-123 - Emma Chávez, Gavin Finnie:
TTL: A Transformation, Transference and Loading Approach for Active Monitoring. 124-135 - Helena Galhardas, Antónia Lopes, Emanuel Santos:
Support for User Involvement in Data Cleaning. 136-151
Data Warehouse Performance and Optimization
- Jaqueline Joice Brito, Thiago Luís Lopes Siqueira, Valéria Cesário Times, Ricardo Rodrigues Ciferri, Cristina Dutra de Aguiar Ciferri:
Efficient Processing of Drill-across Queries over Geographic Data Warehouses. 152-166 - Ahmad Taleb, Todd Eavis, Hiba Tabbara:
The NOX OLAP Query Model: From Algebra to Execution. 167-183 - Pedro Martins, João Pedro Costa, José Cecílio, Pedro Furtado:
VarDB: High-Performance Warehouse Processing with Massive Ordering and Binary Search. 184-195
Data Warehouse Partitioning Techniques
- Doulkifli Boukraâ, Omar Boussaid, Fadila Bentayeb:
Vertical Fragmentation of XML Data Warehouses Using Frequent Path Sets. 196-207 - Takayuki Tsuchida, Tatsuo Tsuji, Ken Higuchi:
Implementing Vertical Splitting for Large Scale Multidimensional Datasets and Its Evaluations. 208-223
Analytics over Large Multidimensional Datasets
- Oscar Romero, Patrick Marcel, Alberto Abelló, Verónika Peralta, Ladjel Bellatreche:
Describing Analytical Sessions Using a Multidimensional Algebra. 224-239 - Andreas Williams, Pavlos Mitsoulis-Ntompos, Damianos Chatziantoniou:
Tagged MapReduce: Efficiently Computing Multi-analytics Using MapReduce. 240-251
Pattern Mining
- Carson Kai-Sang Leung, Fan Jiang:
Frequent Pattern Mining from Time-Fading Streams of Uncertain Data. 252-264 - Yun Sing Koh, Gillian Dobbie:
SPO-Tree: Efficient Single Pass Ordered Incremental Pattern Mining. 265-276 - Sidney Tsang, Yun Sing Koh, Gillian Dobbie:
RP-Tree: Rare Pattern Tree Mining. 277-288
Matrix-Based Mining Techniques
- Meng-Lun Wu, Chia-Hui Chang, Rui-Zhe Liu:
Co-clustering with Augmented Data Matrix. 289-300 - Patricia E. N. Lutu:
Using Confusion Matrices and Confusion Graphs to Design Ensemble Classification Models from Large Datasets. 301-315
Data Mining and Knowledge Discovery Techniques
- Yuanzhe Cai, Sharma Chakravarthy:
Pairwise Similarity Calculation of Information Networks. 316-329 - Gauthier Doquire, Michel Verleysen:
Feature Selection with Mutual Information for Uncertain Data. 330-341 - Lankeshwara Munasinghe, Ryutaro Ichise:
Time Aware Index for Link Prediction in Social Networks. 342-353 - Duc H. Tran, Wee Keong Ng, Hoon Wei Lim, Hai-Long Nguyen:
An Efficient Cacheable Secure Scalar Product Protocol for Privacy-Preserving Data Mining. 354-366
Data Mining and Knowledge Discovery Applications
- Koosha Golmohammadi, Michael Smit, Osmar R. Zaïane:
Learning Actions in Complex Software Systems. 367-381 - Sang-Pil Kim, Yang-Sae Moon, Sun-Kyong Hong:
An Envelope-Based Approach to Rotation-Invariant Boundary Image Matching. 382-393 - Rob M. Konijn, Wojtek Kowalczyk:
Finding Fraud in Health Insurance Data with Two-Layer Outlier Detection Approach. 394-405 - Naveen Nair, Ganesh Ramakrishnan, Shonali Krishnaswamy:
Enhancing Activity Recognition in Smart Homes Using Feature Induction. 406-418
Stream, Sensor and Time-Series Mining
- Imen Brahmi, Sadok Ben Yahia, Pascal Poncelet:
Mining Approximate Frequent Closed Flows over Packet Streams. 419-431 - Kenneth Conroy, Gregory C. May, Mark Roantree, Giles Warrington, Sarah Jane Cullen, Adrian McGoldrick:
Knowledge Acquisition from Sensor Data in an Equine Environment. 432-444 - Hai-Long Nguyen, Wee Keong Ng, Yew-Kwong Woon, Duc H. Tran:
Concurrent Semi-supervised Learning of Data Streams. 445-459 - José Luis Triviño-Rodriguez, Amparo Ruiz-Sepúlveda, Rafael Morales Bueno:
A Bounded Version of Online Boosting on Open-Ended Data Streams. 460-470 - Yang Hang, Simon Fong:
Moderated VFDT in Stream Mining Using Adaptive Tie Threshold and Incremental Pruning. 471-483 - Bibudh Lahiri, Ioannis Akrotirianakis, Fabian Moerchen:
Finding Critical Thresholds for Defining Bursts. 484-495
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