13. DaWaK 2011: Toulouse, France

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
  
• Hang Yang, 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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