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DS 2007 Accepted Papers
Long Papers
| Title |
Author(s)
|
| Literature-Based Discovery by an Enhanced Information Retrieval Model |
Kazuhiro Seki and Javed Mostafa
|
| A Partially Dynamic Clustering Algorithm for Data Insertion and Removal |
Haytham Elghazel, Hamamache Kheddouci, Véronique Deslandres and Alain Dussauchoy
|
| User Preference Modeling from Positive Contents for Personalized Recommendation |
Heung-Nam Kim, Inay Ha, Jin-Guk Jung and Geun-Sik Jo
|
| A Consequence Finding Approach for Full Clausal Abduction |
Oliver Ray and Katsumi Inoue
|
| Unsupervised Spam Detection based on String Alienness Measures |
Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano and Masayuki Takeda
|
| Reducing Trials by Thinning-out in Skill Discovery |
Hayato Kobayashi, Kohei Hatano, Akira Ishino and Ayumi Shinohara
|
| Iterative Reordering of Rules for Building Ensembles without Relearning |
Paulo J. Azevedo and Alipio Jorge
|
| Time and Space Efficient Discovery of Maximal Geometric Graphs |
Hiroki Arimura, Takeaki UNO and Shinichi Shimozono
|
| On Approximating Minimum Infrequent and Maximum Frequent Sets |
Mario Boley
|
| Learning Locally Weighted C4.4 for Class Probability Estimation |
Liangxiao Jiang, Harry Zhang, Dianhong Wang and Zhihua Cai
|
| Supervised and Unsupervised Classification using Potential Active Hypercontours with Expert Knowledge |
Arkadiusz Tomczyk, Piotr Szczepaniak and Michal Pryczek
|
| An Efficient Polynomial Delay Algorithm for Pseudo Frequent Itemset Mining |
Takeaki UNO and Hiroki Arimura
|
| Positivism against Constructivism: May the Better win! (a Network Game as a Practical Way to Learn Epistemology) |
Helene Hagege, Christopher Dartnell and Jean Sallantin
|
| Discovering implicit feedbacks from search engine log files |
Ashok Veilumuthu and Parthasarathy Ramachandran
|
| Fast NML Computation for Naive Bayes Models |
Tommi Mononen and Petri Myllymäki
|
| Discovering Mentorship Information from Author Collaboration Networks |
Suresh V., Narayanan Raghupathy and Shekar B.
|
| A New Semantic Web Session Clustering Method Based on Ontology |
Qianwen Yang, Jisong Kou, Fuzan Chen and Minqiang Li
|
| A Theoretical Study on Variable Ordering of Zero-suppressed BDDs for Representing Frequent Itemsets |
Shin-ichi Minato
|
Regular Papers
| Title |
Author(s)
|
| An Intentional Kernel Funcition for RNA Classification |
Hiroshi Sankoh, Koichiro Doi and Akihiro Yamamoto
|
| Towards Future Technology Projection: A Method for Extracting Capability Phrases from Documents |
Risa Nishiyama, Hironori Takeuchi and Hideo Watanabe
|
| Model selection and estimation via subjective user preferences |
Jaakko Hollmén
|
| Semantic Based Real-Time Clustering for PubMed Literatures |
Ruey ling Yeh, Ching Liu, Ben-Chang Shia, I-Jen Chiang, Wen-Wen Yang and Hsiang-Chun Tsaie
|
| Mining Subtrees with Frequent Occurrence of Similar Subtrees |
Hisashi Tosaka, Atsuyoshi Nakamura and Mineichi Kudo
|
| An Attempt to Rebuild Claude Bernard's Scientific Steps |
Jean-Gabriel Ganascia and Bassel Habib
|
| Semantic Annotation of Data Tables Using a Domain Ontology |
Gaelle Hignette, Patrice Buche, Juliette Dibie-Barth?lemy and Ollivier Haemmerlé
|
| Detecting Concept Drift using Statistical Testing |
Kyosuke Nishida and Koichiro Yamauchi
|
| Pharmacophore Knowledge Refinement Method in the Chemical Structure Space |
Satoshi Fujishima, Yoshimasa Takahashi and Takashi Okada
|
| Efficient Incremental Mining of Top-K Frequent Closed Itemsets |
Andrea Pietracaprina and Fabio Vandin
|