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ORCID15th DS 2012: Lyon, France
- Jean-Gabriel Ganascia, Philippe Lenca, Jean-Marc Petit:
Discovery Science - 15th International Conference, DS 2012, Lyon, France, October 29-31, 2012. Proceedings. Lecture Notes in Computer Science 7569, Springer 2012, ISBN 978-3-642-33491-7
Invited Talks
- Luc De Raedt
:
Declarative Modeling for Machine Learning and Data Mining. 1 - Toon Calders:
Recent Developments in Pattern Mining. 2
Tutorial
- Gilbert Ritschard:
Exploring Sequential Data. 3-6
Regular Papers
- Nguyen Lu Dang Khoa, Sanjay Chawla:
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers. 7-21 - Pierre Alquier, Xiaoyin Li:
Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting. 22-36 - Francis Maes, Raphael Fonteneau, Louis Wehenkel, Damien Ernst:
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning. 37-51 - Esther Galbrun, Angelika Kimmig:
Towards Finding Relational Redescriptions. 52-66 - Dragan Gamberger, Drazen Lucanin, Tomislav Smuc:
Descriptive Modeling of Systemic Banking Crises. 67-80 - Shunsuke Makino, Takaharu Shimada, Kouichi Hirata, Kouki Yonezawa, Kimihito Ito:
A Trim Distance between Positions in Nucleotide Sequences. 81-94 - Einoshin Suzuki, Emi Matsumoto, Asuki Kouno:
Data Squashing for HSV Subimages by an Autonomous Mobile Robot. 95-109 - Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. 110-124 - Rui Li, Stefan Kramer:
Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming. 125-138 - Bruno M. Nogueira, Alípio Mário Jorge, Solange Oliveira Rezende:
HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning. 139-153 - Bi-Ru Dai, Chih-Heng Chung:
LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity. 154-168 - Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo:
Fast Approximation Algorithm for the 1-Median Problem. 169-183 - Tom de Ruijter, Evgeni Tsivtsivadze, Tom Heskes:
Online Co-regularized Algorithms. 184-193 - Prem Raj Adhikari, Jaakko Hollmén:
Fast Progressive Training of Mixture Models for Model Selection. 194-208 - Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Florence Le Ber, Maguelonne Teisseire:
Including Spatial Relations and Scales within Sequential Pattern Extraction. 209-223 - Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud:
Predicting Ramp Events with a Stream-Based HMM Framework. 224-238 - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Burst Detection in a Sequence of Tweets Based on Information Diffusion Model. 239-253 - Johannes Fürnkranz, Sang-Hyeun Park:
Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction. 254-267 - Novita Ikasari, Fedja Hadzic:
An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML. 268-283 - Yoshiaki Okubo, Makoto Haraguchi, Etsuji Tomita:
Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search. 284-298 - Kafil Hajlaoui, Pascal Cuxac, Jean-Charles Lamirel, Claire François:
Enhancing Patent Expertise through Automatic Matching with Scientific Papers. 299-312 - Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux:
Soft Threshold Constraints for Pattern Mining. 313-327
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