10. DS 2007:
Sendai,
Japan
Vincent Corruble, Masayuki Takeda, Einoshin Suzuki (Eds.):
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
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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