Discovery Science

Long Papers

1. Pattern Mining

   1. Predictive Graph Mining

      • Andreas Karwath, Luc De Raedt

      Pages 1-15

   2. An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases

      • Takeaki Uno, Tatsuya Asai, Yuzo Uchida, Hiroki Arimura

      Pages 16-31

   3. Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance

      • Shunsuke Inenaga, Hideo Bannai, Heikki Hyyrö, Ayumi Shinohara, Masayuki Takeda, Kenta Nakai et al.

      Pages 32-46

2. Classification

   1. Mining Noisy Data Streams via a Discriminative Model

      • Fang Chu, Yizhou Wang, Carlo Zaniolo

      Pages 47-59

   2. CorClass: Correlated Association Rule Mining for Classification

      • Albrecht Zimmermann, Luc De Raedt

      Pages 60-72

   3. Maximum a Posteriori Tree Augmented Naive Bayes Classifiers

      • Jesús Cerquides, Ramon Lòpez de Màntaras

      Pages 73-88

3. Outlier Detection

   1. Improving Prediction of Distance-Based Outliers

      • Fabrizio Angiulli, Stefano Basta, Clara Pizzuti

      Pages 89-100

   2. Detecting Outliers via Logical Theories and Its Data Complexity

      • Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli

      Pages 101-113

4. Clustering

   1. Fast Hierarchical Clustering Algorithm Using Locality-Sensitive Hashing

      • Hisashi Koga, Tetsuo Ishibashi, Toshinori Watanabe

      Pages 114-128

   2. Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach

      • SiQuang Le, TuBao Ho

      Pages 129-141

5. Feature Construction and Generation

   1. Constructive Inductive Learning Based on Meta-attributes

      • Kouzou Ohara, Yukio Onishi, Noboru Babaguchi, Hiroshi Motoda

      Pages 142-154

   2. Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection

      • Gexiang Zhang, Laizhao Hu, Weidong Jin

      Pages 155-168

6. Knowledge Acquisition

   1. Extracting Positive Attributions from Scientific Papers

      • Son Bao Pham, Achim Hoffmann

      Pages 169-182

   2. Enhancing SVM with Visualization

      • Thanh-Nghi Do, François Poulet

      Pages 183-194

   3. An Associative Information Retrieval Based on the Dependency of Term Co-occurrence

      • Mina Akaishi, Ken Satoh, Yuzuru Tanaka

      Pages 195-206

   4. On the Convergence of Incremental Knowledge Base Construction

      • Tri M. Cao, Eric Martin, Paul Compton

      Pages 207-218

7. Discovery Science in Reality

   1. Privacy Problems with Anonymized Transaction Databases

      • Taneli Mielikäinen

      Pages 219-229

   2. A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data

      • Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut

      Pages 230-241

   3. Using the Computer to Study the Dynamics of the Handwriting Processes

      • Gilles Caporossi, Denis Alamargot, David Chesnet

      Pages 242-254