DaWaK B

38 papers

YearTitle / Authors
2009A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets.
Minh Quoc Nguyen, Edward Omiecinski, Leo Mark
2009A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses.
Ladjel Bellatreche, Soumia Benkrid
2009Arguing from Experience to Classifying Noisy Data.
Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capon
2009BitCube: A Bottom-Up Cubing Engineering.
Alfredo Ferro, Rosalba Giugno, Piera Laura Puglisi, Alfredo Pulvirenti
2009CAMS: OLAPing Multidimensional Data Streams Efficiently.
Alfredo Cuzzocrea
2009Clustering for Video Retrieval.
Petr Chmelar, Ivana Rudolfova, Jaroslav Zendulka
2009Customer Churn Prediction for Broadband Internet Services.
Bing Quan Huang, M. Tahar Kechadi, Brian Buckley
2009Data Stream Prediction Using Incremental Hidden Markov Models.
Kei Wakabayashi, Takao Miura
2009Data Warehousing and Knowledge Discovery, 11th International Conference, DaWaK 2009, Linz, Austria, August 31 - September 2, 2009, Proceedings
Torben Bach Pedersen, Mukesh K. Mohania, A Min Tjoa
2009Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data.
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Zoran Obradovic
2009Efficient Online Aggregates in Dense-Region-Based Data Cube Representations.
Kais Haddadin, Tobias Lauer
2009Exact and Approximate Sizes of Convex Datacubes.
Sébastien Nedjar
2009Extend UDF Technology for Integrated Analytics.
Qiming Chen, Meichun Hsu, Rui Liu
2009Fast Loads and Fast Queries.
Goetz Graefe
2009Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures.
Isis Peña, Herna L. Viktor, Eric Paquet
2009Finding N-Most Prevalent Colocated Event Sets.
Jin Soung Yoo, Mark Bow
2009HDB-Subdue: A Scalable Approach to Graph Mining.
Srihari Padmanabhan, Sharma Chakravarthy
2009HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data.
Jan Chmiel, Tadeusz Morzy, Robert Wrembel
2009High Performance Analytics with the R3-Cache.
Todd Eavis, Ruhan Sayeed
2009History Guided Low-Cost Change Detection in Streams.
Weiyun Huang, Edward Omiecinski, Leo Mark, Minh Quoc Nguyen
2009Mining High-Correlation Association Rules for Inferring Gene Regulation Networks.
Xuequn Shang, Qian Zhao, Zhanhuai Li
2009Mining Violations to Relax Relational Database Constraints.
Mirjana Mazuran, Elisa Quintarelli, Rosalba Rossato, Letizia Tanca
2009Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model.
Leila Ben Othman, François Rioult, Sadok Ben Yahia, Bruno Crémilleux
2009New Challenges in Information Integration.
Laura M. Haas, Aya Soffer
2009Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation.
Marzena Kryszkiewicz
2009Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing.
Matthias Kehlenbeck, Michael H. Breitner
2009Open Source BI Platforms: A Functional and Architectural Comparison.
Matteo Golfarelli
2009Preference-Based Recommendations for OLAP Analysis.
Houssem Jerbi, Franck Ravat, Olivier Teste, Gilles Zurfluh
2009Recommending Multidimensional Queries.
Arnaud Giacometti, Patrick Marcel, Elsa Negre
2009Rule Learning with Probabilistic Smoothing.
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2009Skyline View: Efficient Distributed Subspace Skyline Computation.
Jinhan Kim, Jongwuk Lee, Seung-won Hwang
2009The PDG-Mixture Model for Clustering.
M. Julia Flores, José A. Gámez, Jens Dalgaard Nielsen
2009TidFP: Mining Frequent Patterns in Different Databases with Transaction ID.
Christie I. Ezeife, Dan Zhang
2009Towards a Modernization Process for Secure Data Warehouses.
Carlos Blanco, Ricardo Pérez-Castillo, Arnulfo Hernández, Eduardo Fernández-Medina, Juan Trujillo
2009Trends Analysis of Topics Based on Temporal Segmentation.
Wei Chen, Parvathi Chundi
2009Visual Modelling of Data Warehousing Flows with UML Profiles.
Jesús Pardillo, Matteo Golfarelli, Stefano Rizzi, Juan Trujillo
2009What Is Spatio-Temporal Data Warehousing?
Alejandro A. Vaisman, Esteban Zimányi
2009Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?.
Willie Ng, Manoranjan Dash