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ORCID10th DS 2007: Sendai, Japan
- Vincent Corruble, Masayuki Takeda, Einoshin Suzuki:
Discovery Science, 10th International Conference, DS 2007, Sendai, Japan, October 1-4, 2007, Proceedings. Lecture Notes in Computer Science 4755, Springer 2007, ISBN 978-3-540-75487-9
Invited Papers
- Masaru Kitsuregawa:
Challenge for Info-plosion. 1-8 - Thomas G. Dietterich:
Machine Learning in Ecosystem Informatics. 9-25 - Jürgen Schmidhuber:
Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity. 26-38 - Avrim Blum:
A Theory of Similarity Functions for Learning and Clustering. 39 - Alexander J. Smola, Arthur Gretton
, Le Song, Bernhard Schölkopf:
A Hilbert Space Embedding for Distributions. 40-41
Long Papers
- Hiroki Arimura, Takeaki Uno, Shinichi Shimozono:
Time and Space Efficient Discovery of Maximal Geometric Graphs. 42-55 - Paulo J. Azevedo, Alípio Mário Jorge:
Iterative Reordering of Rules for Building Ensembles Without Relearning. 56-67 - Mario Boley:
On Approximating Minimum Infrequent and Maximum Frequent Sets. 68-77 - Haytham Elghazel, Hamamache Kheddouci, Véronique Deslandres, Alain Dussauchoy:
A Partially Dynamic Clustering Algorithm for Data Insertion and Removal. 78-90 - Hélène Hagège, Christopher Dartnell, Jean Sallantin:
Positivism Against Constructivism: A Network Game to Learn Epistemology. 91-103 - Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai:
Learning Locally Weighted C4.4 for Class Probability Estimation. 104-115 - Heung-Nam Kim, Inay Ha, Jin-Guk Jung, GeunSik Jo:
User Preference Modeling from Positive Contents for Personalized Recommendation. 116-126 - Hayato Kobayashi, Kohei Hatano, Akira Ishino, Ayumi Shinohara:
Reducing Trials by Thinning-Out in Skill Discovery. 127-138 - Shin-ichi Minato:
A Theoretical Study on Variable Ordering of Zero-Suppressed BDDs for Representing Frequent Itemsets. 139-150 - Tommi Mononen, Petri Myllymäki:
Fast NML Computation for Naive Bayes Models. 151-160 - Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano, Masayuki Takeda:
Unsupervised Spam Detection Based on String Alienness Measures. 161-172 - Oliver Ray, Katsumi Inoue:
A Consequence Finding Approach for Full Clausal Abduction. 173-184 - Kazuhiro Seki, Javed Mostafa:
Literature-Based Discovery by an Enhanced Information Retrieval Model. 185-196 - V. Suresh, Narayanan Raghupathy, B. Shekar, C. E. Veni Madhavan:
Discovering Mentorship Information from Author Collaboration Networks. 197-208 - Arkadiusz Tomczyk, Piotr S. Szczepaniak, Michal Pryczek:
Active Contours as Knowledge Discovery Methods. 209-218 - Takeaki Uno, Hiroki Arimura:
An Efficient Polynomial Delay Algorithm for Pseudo Frequent Itemset Mining. 219-230 - Ashok Veilumuthu, Parthasarathy Ramachandran:
Discovering Implicit Feedbacks from Search Engine Log Files. 231-242
Regular Papers
- Satoshi Fujishima, Yoshimasa Takahashi, Takashi Okada:
Pharmacophore Knowledge Refinement Method in the Chemical Structure Space. 243-247 - Jean-Gabriel Ganascia, Bassel Habib:
An Attempt to Rebuild C. Bernard's Scientific Steps. 248-252 - Gaëlle Hignette, Patrice Buche, Juliette Dibie-Barthélemy, Ollivier Haemmerlé:
Semantic Annotation of Data Tables Using a Domain Ontology. 253-258 - Jaakko Hollmén:
Model Selection and Estimation Via Subjective User Preferences. 259-263 - Kyosuke Nishida, Koichiro Yamauchi:
Detecting Concept Drift Using Statistical Testing. 264-269 - Risa Nishiyama, Hironori Takeuchi, Hideo Watanabe:
Towards Future Technology Projection: A Method for Extracting Capability Phrases from Documents. 270-274 - Andrea Pietracaprina, Fabio Vandin:
Efficient Incremental Mining of Top-K Frequent Closed Itemsets. 275-280 - Hiroshi Sankoh, Koichiro Doi, Akihiro Yamamoto:
An Intentional Kernel Function for RNA Classification. 281-285 - Hisashi Tosaka, Atsuyoshi Nakamura, Mineichi Kudo:
Mining Subtrees with Frequent Occurrence of Similar Subtrees. 286-290 - Ruey-Ling Yeh, Ching Liu, Ben-Chang Shia, I-Jen Chiang, Wen-Wen Yang, Ginni Hsiang-Chun Tsai:
Semantic Based Real-Time Clustering for PubMed Literatures. 291-295
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