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17th DS 2014: Bled, Slovenia
- Saso Dzeroski, Pance Panov, Dragi Kocev, Ljupco Todorovski:
Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science 8777, Springer 2014, ISBN 978-3-319-11811-6 - Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén:
Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. 1-12 - Alya Al Nasseri, Allan Tucker, Sergio de Cesare:
Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market. 13-24 - Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic, Miha Grcar, Tomislav Smuc:
Synthetic Sequence Generator for Recommender Systems - Memory Biased Random Walk on a Sequence Multilayer Network. 25-36 - Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic:
Predicting Sepsis Severity from Limited Temporal Observations. 37-48 - Michelangelo Ceci, Pasqua Fabiana Lanotte, Fabio Fumarola, Dario Pietro Cavallo, Donato Malerba:
Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining. 49-61 - Darrell Conklin, Stéphanie Weisser:
Antipattern Discovery in Ethiopian Bagana Songs. 62-72 - Tal Galili, Alexis Mitelpunkt, Netta Shachar, Mira Marcus-Kalish, Yoav Benjamini:
Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project. 73-86 - Tal Galili, Alexis Mitelpunkt, Netta Shachar, Mira Marcus-Kalish, Yoav Benjamini:
Erratum: Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project. - Dragan Gamberger, Matej Mihelcic, Nada Lavrac:
Multilayer Clustering: A Discovery Experiment on Country Level Trading Data. 87-98 - Nicolau Gonçalves, Erkki Oja, Ricardo Vigário:
Medical Document Mining Combining Image Exploration and Text Characterization. 99-110 - Tayena Hendrickx, Boris Cule, Bart Goethals:
Mining Cohesive Itemsets in Graphs. 111-122 - Sascha Henzgen, Eyke Hüllermeier:
Mining Rank Data. 123-134 - Andrej Kastrin, Thomas C. Rindflesch, Dimitar Hristovski:
Link Prediction on the Semantic MEDLINE Network - An Approach to Literature-Based Discovery. 135-143 - Ivan Kitanovski, Ivica Dimitrovski, Gjorgji Madjarov, Suzana Loskovska:
Medical Image Retrieval Using Multimodal Data. 144-155 - Seiichi Kondo, Keisuke Otaki, Madori Ikeda, Akihiro Yamamoto:
Fast Computation of the Tree Edit Distance between Unordered Trees Using IP Solvers. 156-167 - Georg Krempl, Daniel Kottke, Myra Spiliopoulou:
Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency. 168-179 - Duc Kinh Le Tran, Cécile Bothorel, Pascal Cheung-Mon-Chan, Yvon Kermarrec:
Incremental Learning with Social Media Data to Predict Near Real-Time Events. 180-191 - Eneldo Loza Mencía, Frederik Janssen:
Stacking Label Features for Learning Multilabel Rules. 192-203 - Pawel Matuszyk, Myra Spiliopoulou:
Selective Forgetting for Incremental Matrix Factorization in Recommender Systems. 204-215 - Sandy Moens, Mario Boley, Bart Goethals:
Providing Concise Database Covers Instantly by Recursive Tile Sampling. 216-227 - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Resampling-Based Framework for Estimating Node Centrality of Large Social Network. 228-239 - Yoshiaki Okubo, Masanobu Matsudaira, Makoto Haraguchi:
Detecting Maximum k-Plex with Iterative Proper ℓ-Plex Search. 240-251 - Bidyut Kr. Patra, Raimo Launonen, Ville Ollikainen, Sukumar Nandi:
Exploiting Bhattacharyya Similarity Measure to Diminish User Cold-Start Problem in Sparse Data. 252-263 - Pedro Mota Pereira, Rita P. Ribeiro, João Gama:
Failure Prediction - An Application in the Railway Industry. 264-275 - Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba:
Wind Power Forecasting Using Time Series Cluster Analysis. 276-287 - Petar Ristoski, Heiko Paulheim:
Feature Selection in Hierarchical Feature Spaces. 288-300 - Neda Trifonova, Daniel Duplisea, Andrew Kenny, David L. Maxwell, Allan Tucker:
Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology. 301-312 - Takeaki Uno, Hiroko Satoh:
An Efficient Algorithm for Enumerating Chordless Cycles and Chordless Paths. 313-324 - Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren:
Algorithm Selection on Data Streams. 325-336 - Ye Xu, Daniel N. Rockmore:
Sparse Coding for Key Node Selection over Networks. 337-349 - Jing Zhao, Shiliang Sun:
Variational Dependent Multi-output Gaussian Process Dynamical Systems. 350-361
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