Accepted papers
DaWaK 2013 : 15th International Conference on Data Warehousing and Knowledge Discovery
- A Data Mining-Based Wind Power Forecasting Method: Results for Wind Power Plants in Turkey
Mehmet Baris Ozkan, Dilek Kucuk, Erman Terciyanli, Serkan Buhan , Turan Demirci, Pinar Karagoz, - A Hybrid Graph-based Method for Concept Rule Discovery
Alev Mutlu, Pinar Karagoz, - An Analytics-Aware Conceptual Model For Evolving Graphs
Amine Ghrab, Sabri Skhiri, Salim Jouili, Esteban Zimányi, - An Automatic Email Management Approach using Data Mining Techniques
Gunjan Soni, Christie Ezeife, - An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions
Luiz Henrique de Campos Merschmann, Alex Alves Freitas, - An OLAP summarization function for textual documents
Aicha Lababou, Yacine Atif, - Applications of Concurrent Access Patterns in Web Usage Mining
Jing Lu, Malcolm Keech, Cuiqing Wang, - Cell-at-a-Time Approach to Lazy Evaluation of Dimensional Aggregations
Tapio Niemi, Jyrki Nummenmaa, Peter Thanisch, Marko Niinimäki, - Concurrent Execution of Data Mining Queries for Spatial Collocation Pattern Discovery
Pawel Boinski, Maciej Zakrzewicz, - Declarative expression and optimization of data-intensive flows
Georgia Kougka, Anastasios Gounaris, - Depth-first Traversal over a Mirrored Space for Non-redundant Discriminative Itemsets
Yoshitaka Kameya, Hiroki Asaoka, - Discovering Co-Location Patterns in Datasets with Extended Spatial Objects
Aibek Adilmagambetov, Osmar Zaiane, Alvaro Osornio-Vargas, - Disease Occurrence Prediction based on Spatio-Temporal Characterization – A Mesoscale Study for Knowledge and Pattern Discovery
Vipul Raheja, K S Rajan, - Document Difficulty Framework for Semi-Automatic Text Classification
Miguel Martinez-Alvarez, Alejandro Bellogin, Thomas Roelleke, - Efficient Evaluation of Ad-hoc Range Aggregates
Christian Ammendola, Michael H. Böhlen, Johann Gamper, - Fast Causal Network Inference over Event Streams
Saurav Acharya, Byung Suk Lee, - Finding Maximal Overlapping Communities
Eileen Wei, Yun Sing Koh, Gillian Dobbie, - GMAC: A Seed-Insensitive Approach to Local Community Detection
Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Jianan Wu, Yanzhe Che, - Knowledge-free Table Summarization
Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire, - Lily: A Geo-Enhanced Library for Location Intelligence
Matteo Golfarelli, Marco Mantovani, Federico Ravaldi, Stefano Rizzi, - MAF: A Method for Detecting Temporal Associations from Multiple Event Sequences
Han Liang, - Main Content Extraction from Web Documents Using Text Block Context
Myungwon Kim, Youngjin Kim, Wonmoon Song, Ara Khil, - Metrics to Support the Evaluation of Association Rule Clustering
Veronica Carvalho, Fabiano Santos, Solange Rezende, - Minimal Vertex Unique Labelled Subgraph Mining
Wen Yu, Frans Coenen, Michele Zito, Subhieh El Salhi, - Population Estimation Mining Using Satellite Imagery
Kwankamon Dittakan, Frans Coenen, Rob Christley, Maya Wardeh, - Predicting your next OLAP query based on recent analytical sessions
Marie-Aude Aufaure, Nicolas Kuchmann-Beauger, Patrick Marcel, Stefano Rizzi, Yves Vanrompay, - Probabilistic Vector Machine. Scalability through Clustering Hybridization
Mihai Cimpoesu, Andrei Sucila, Henri Luchian, - SOLAP4epidemiologist: a Spatial Data Warehousing application in Epidemiology domain
Assuntina Cembalo, Michele Ferrucci, Francesca Maria Pisano, Gianpaolo Pigliasco, - SPIN:Concurrent Workload Scaling over Data Warehouses
João Costa, Pedro Furtado, - SSCJ: A Semi-Stream Cache Join using a Front-Stage Cache Module
Muhammad Asif Naeem, Gerald Weber, Gillian Dobbie, Christof Lutteroth, - Stream mining of frequent patterns from delayed batches of uncertain data
Fan Jiang, Carson Leung, - Supervised Dimensionality Reduction Via Nonlinear Target Estimation
Josif Grabocka, Lucas Drumond, Lars Schmidt-Thieme, - Tabular Web Data: Schema Discovery and Integration
Prudhvi Janga, Karen Davis, - Uncoupled MapReduce: a Balanced and Efficient Data Transfer Model
Jie Zhang, Maosen Sun, Jian Lin, Li Zha, - Where will you go? Mobile Data Mining for Next Place Prediction
João Bártolo Gomes, Clifton Phua, Shonali Krishnaswamy,