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ORCID16th DS 2013: Singapore
- Johannes Fürnkranz
, Eyke Hüllermeier, Tomoyuki Higuchi:
Discovery Science - 16th International Conference, DS 2013, Singapore, October 6-9, 2013. Proceedings. Lecture Notes in Computer Science 8140, Springer 2013, ISBN 978-3-642-40896-0 - Prem Raj Adhikari, Jaakko Hollmén:
Mixture Models from Multiresolution 0-1 Data. 1-16 - Darko Aleksovski, Jus Kocijan, Saso Dzeroski:
Model Tree Ensembles for Modeling Dynamic Systems. 17-32 - Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Fast and Scalable Image Retrieval Using Predictive Clustering Trees. 33-48 - João Gama, Petr Kosina, Ezilda Almeida:
Avoiding Anomalies in Data Stream Learning. 49-63 - Pan Hu, Celine Vens, Bart Verstrynge, Hendrik Blockeel:
Generalizing from Example Clusters. 64-78 - Dino Ienco, Albert Bifet, Indre Zliobaite, Bernhard Pfahringer:
Clustering Based Active Learning for Evolving Data Streams. 79-93 - Faiza Khan Khattak, Ansaf Salleb-Aouissi:
Robust Crowd Labeling Using Little Expertise. 94-109 - Tetsushi Matsui, Takeaki Uno, Juzoh Umemori, Tsuyoshi Koide:
A New Approach to String Pattern Mining with Approximate Match. 110-125 - Pance Panov, Larisa N. Soldatova, Saso Dzeroski:
OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process. 126-140 - Matic Perovsek, Anze Vavpetic, Bojan Cestnik, Nada Lavrac:
A Wordification Approach to Relational Data Mining. 141-154 - Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo J. Azevedo, Alípio Mário Jorge:
Multi-interval Discretization of Continuous Attributes for Label Ranking. 155-169 - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Identifying Super-Mediators of Information Diffusion in Social Networks. 170-184 - Wilfried Segretier, Martine Collard:
SM2D: A Modular Knowledge Discovery Approach Applied to Hydrological Forecasting. 185-200 - Tomi Silander, Tze-Yun Leong:
A Dynamic Programming Algorithm for Learning Chain Event Graphs. 201-216 - Eirini Spyropoulou, Tijl De Bie, Mario Boley:
Mining Interesting Patterns in Multi-relational Data with N-ary Relationships. 217-232 - Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski:
Learning Hierarchical Multi-label Classification Trees from Network Data. 233-248 - Enikö Székely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, Renaud Cezar:
A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications. 249-264 - Jovan Tanevski, Ljupco Todorovski, Yannis Kalaidzidis, Saso Dzeroski:
Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis. 265-280 - Takahisa Toda:
Fast Compression of Large-Scale Hypergraphs for Solving Combinatorial Problems. 281-293 - Anze Vavpetic, Petra Kralj Novak, Miha Grcar, Igor Mozetic, Nada Lavrac:
Semantic Data Mining of Financial News Articles. 294-307 - Kunihiro Wasa, Takeaki Uno, Kouichi Hirata, Hiroki Arimura:
Polynomial Delay and Space Discovery of Connected and Acyclic Sub-hypergraphs in a Hypergraph. 308-323 - Ye Xu, Daniel N. Rockmore, Adam M. Kleinbaum:
Hyperlink Prediction in Hypernetworks Using Latent Social Features. 324-339 - Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou:
Extracting Opinionated (Sub)Features from a Stream of Product Reviews. 340-355
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