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16th DaWaK 2014: Munich, Germany
- Ladjel Bellatreche, Mukesh K. Mohania:
Data Warehousing and Knowledge Discovery - 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings. Lecture Notes in Computer Science 8646, Springer 2014, ISBN 978-3-319-10159-0
Modeling and ETL
- Christian Lettner, Reinhard Stumptner, Karl-Heinz Bokesch:
An Approach on ETL Attached Data Quality Management. 1-8 - Vasileios Theodorou, Alberto Abelló, Wolfgang Lehner:
Quality Measures for ETL Processes. 9-22 - Waqas Ahmed, Esteban Zimányi, Robert Wrembel:
A Logical Model for Multiversion Data Warehouses. 23-34
Ontology-Based Data Warehouses
- João L. R. Moreira, Kelli F. Cordeiro, Maria Luiza Machado Campos, Marcos R. S. Borges:
OntoWarehousing - Multidimensional Design Supported by a Foundational Ontology: A Temporal Perspective. 35-44 - Lorena Etcheverry, Alejandro A. Vaisman, Esteban Zimányi:
Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP. 45-56 - Claudia Diamantini, Domenico Potena, Emanuele Storti:
Extending Drill-Down through Semantic Reasoning on Indicator Formulas. 57-68
Advanced Data Warehouses and OLAP
- Alberto Sabaini, Esteban Zimányi, Carlo Combi:
An OLAP-Based Approach to Modeling and Querying Granular Temporal Trends. 69-77 - Alfredo Cuzzocrea, Nickerson Ferreira, Pedro Furtado:
Real-Time Data Warehousing: A Rewrite/Merge Approach. 78-88 - Jovan Varga, Oscar Romero, Torben Bach Pedersen, Christian Thomsen:
Towards Next Generation BI Systems: The Analytical Metadata Challenge. 89-101
Uncertainty
- Sandra de Amo, Juliete A. Ramos Costa:
Mining Fuzzy Contextual Preferences. 102-114 - Carson Kai-Sang Leung, Richard Kyle MacKinnon:
BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining. 115-123 - Jundong Li, Osmar R. Zaïane, Alvaro Osornio-Vargas:
Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects. 124-135
Preferences and Recommendation
- Tamanna S. Mumu, Christie I. Ezeife:
Discovering Community Preference Influence Network by Social Network Opinion Posts Mining. 136-145 - Tassadit Bouadi, Marie-Odile Cordier, René Quiniou:
Computing Hierarchical Skyline Queries "On-the-Fly" in a Data Warehouse. 146-158 - Ludovico Boratto, Salvatore Carta:
Impact of Content Novelty on the Accuracy of a Group Recommender System. 159-170
Query Performance and HPC
- M. Asif Naeem, Gerald Weber, Christof Lutteroth, Gillian Dobbie:
Optimizing Queue-Based Semi-Stream Joins with Indexed Master Data. 171-182 - Meng-Lun Wu, Chia-Hui Chang:
Parallel Co-clustering with Augmented Matrices Algorithm with Map-Reduce. 183-194 - Claudivan Cruz Lopes, Valéria Cesário Times, Stan Matwin, Ricardo Rodrigues Ciferri, Cristina Dutra de Aguiar Ciferri:
Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud. 195-207
Cube and OLAP
- Faten Atigui, Franck Ravat, Jiefu Song, Gilles Zurfluh:
Reducing Multidimensional Data. 208-220 - Khaled Dehdouh, Fadila Bentayeb, Omar Boussaid, Nadia Kabachi:
Towards an OLAP Environment for Column-Oriented Data Warehouses. 221-232 - Christian Koncilia, Tadeusz Morzy, Robert Wrembel, Johann Eder:
Interval OLAP: Analyzing Interval Data. 233-244
Optimization
- João Pedro Costa, Pedro Furtado:
Improving the Processing of DW Star-Queries under Concurrent Query Workloads. 245-253 - Daniel K. Antwi, Herna L. Viktor:
Building Smart Cubes for Reliable and Faster Access to Data. 254-265 - Thomas Leitner, Christina Feilmayr, Wolfram Wöß:
Optimizing Reaction and Processing Times in Automotive Industry's Quality Management - A Data Mining Approach. 266-273
Classification
- Saulius Samulevicius, Yoann Pitarch, Torben Bach Pedersen:
Using Closed n-set Patterns for Spatio-Temporal Classification. 274-287 - Ameni Bouaziz, Christel Dartigues-Pallez, Célia da Costa Pereira, Frédéric Precioso, Patrick Lloret:
Short Text Classification Using Semantic Random Forest. 288-299 - Akadej Udomchaiporn, Frans Coenen, Marta García-Fiñana, Vanessa Sluming:
3-D MRI Brain Scan Classification Using A Point Series Based Representation. 300-307
Social Networks and Recommendation Systems
- Fan Jiang, Carson Kai-Sang Leung:
Mining Interesting "Following" Patterns from Social Networks. 308-319 - Warith Eddine Djeddi, Mohamed Tarek Khadir:
A Novel Approach Using Context-Based Measure for Matching Large Scale Ontologies. 320-331 - Sahisnu Mazumder, Dhaval Patel, Sameep Mehta:
ActMiner: Discovering Location-Specific Activities from Community-Authored Reviews. 332-344
Knowledge Data Discovery
- Fatimah Binta Abdullahi, Frans Coenen, Russell Martin:
A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data. 345-356 - Nicolas Durand, Mohamed Quafafou:
Approximation of Frequent Itemset Border by Computing Approximate Minimal Hypergraph Transversals. 357-368 - Imen Heloulou, Mohammed Said Radjef, Mohand Tahar Kechadi:
Clustering Based on Sequential Multi-Objective Games. 369-381
Industrial Applications
- David Korfkamp, Stefan Gudenkauf, Martin Rohde, Eunice Sirri, Joachim Kieschke, Hans-Jürgen Appelrath:
Opening up Data Analysis for Medical Health Services: Cancer Survival Analysis with CARESS. 382-393 - Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda:
"Real-time" Instance Selection for Biomedical Data Classification. 394-404 - Nitish Varshney, S. K. Gupta:
Mining Churning Factors in Indian Telecommunication Sector Using Social Media Analytics. 405-413
Mining and Processing Data Stream
- Timothy D. Robinson, David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie:
Drift Detector for Memory-Constrained Environments. 414-425 - Loai AbedAllah, Ilan Shimshoni:
Mean Shift Clustering Algorithm for Data with Missing Values. 426-438 - Sripirakas Sakthithasan, Russel Pears:
Mining Recurrent Concepts in Data Streams Using the Discrete Fourier Transform. 439-451
Mining and Similarity
- Veronica Oliveira de Carvalho, Renan de Padua, Solange Oliveira Rezende:
Semi-Supervised Learning to Support the Exploration of Association Rules. 452-464 - Muhammad Marwan Muhammad Fuad:
Parameter-Free Extended Edit Distance. 465-475 - Philippe Fournier-Viger, Antonio Gomariz, Michal Sebek, Martin Hlosta:
VGEN: Fast Vertical Mining of Sequential Generator Patterns. 476-488
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