5. DS 2002: Lübeck, Germany

@proceedings{DBLP:conf/dis/2002,
  editor    = {Steffen Lange and
               Ken Satoh and
               Carl H. Smith},
  title     = {Discovery Science, 5th International Conference, DS 2002, L{\"u}beck,
               Germany, November 24-26, 2002, Proceedings},
  booktitle = {Discovery Science},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2534},
  year      = {2002},
  isbn      = {3-540-00188-3},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Invited Talks

• Susumu Hayashi:
  Mathematics Based on Learning. 1
  
• Rudolf Kruse, Christian Borgelt:
  Data Mining with Graphical Models. 2-11
  
• John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola:
  On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. 12
  
• Gerhard Widmer:
  In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project. 13-21
  
• Ian H. Witten:
  Learning Structure from Sequences, with Applications in a Digital Library. 33
  

Regular Papers

Application of Discovery to Natural Science

• Luigi Palopoli, Giorgio Terracina:
  Discovering Frequent Structured Patterns from String Databases: An Application to Biological Sequences. 34-46
  
• Judith Ellen Devaney, John G. Hagedorn:
  Discovery in Hydrating Plaster Using Machine Learning Methods. 47-58
  
• Kazumi Saito, Stephen D. Bay, Pat Langley:
  Revising Qualitative Models of Gene Regulation. 59-70
  

Knowledge Discovery from Unstructured and Semi-structured Data

• Shayan Ghazizadeh, Sudarshan S. Chawathe:
  SEuS: Structure Extraction Using Summaries. 71-85
  
• Shunsuke Inenaga, Hideo Bannai, Ayumi Shinohara, Masayuki Takeda, Setsuo Arikawa:
  Discovering Best Variable-Length-Don't-Care Patterns. 86-97
  

Meta-learning and Analysis of Machine Learning Algorithms

• Kai Ming Ting:
  A Study on the Effect of Class Distribution Using Cost-Sensitive Learning. 98-112
  
• Melanie Hilario:
  Model Complexity and Algorithm Selection in Classification. 113-126
  
• Tapio Elomaa, Jussi T. Lindgren:
  Experiments with Projection Learning. 127-140
  
• Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil:
  Improved Dataset Characterisation for Meta-learning. 141-152
  

Combining Machine Learning Algorithms

• Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall:
  Racing Committees for Large Datasets. 153-164
  
• César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana:
  From Ensemble Methods to Comprehensible Models. 165-177
  

Neural Networks and Statistical Methods

• David Danks:
  Learning the Causal Structure of Overlapping Variable Sets. 178-191
  
• Martin Holena:
  Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks. 192-205
  
• Kazumi Saito, Ryohei Nakano:
  Structuring Neural Networks through Bidirectional Clustering of Weights. 206-219
  

New Approaches to Knowledge Discovery

• Osamu Maruyama, Takayoshi Shoudai, Satoru Miyano:
  Toward Drawing an Atlas of Hypothesis Classes: Approximating a Hypothesis via Another Hypothesis Model. 220-232
  
• Takashi Okada:
  Datascape Survey Using the Cascade Model. 233-246
  
• Ryutaro Ichise, Daniel G. Shapiro, Pat Langley:
  Learning Hierarchical Skills from Observation. 247-258
  

Poster Papers

Applications of Knowledge Discovery to Natural Science

• Salla Ruosaari, Jaakko Hollmén:
  Image Analysis for Detecting Faulty Spots from Microarray Images. 259-266
  
• Michiel J. L. de Hoon, Seiya Imoto, Satoru Miyano:
  Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential Equations. 267-274
  
• Daniele Masotti:
  DNA-Tract Curvature Profile Reconstruction: A Fragment Flipping Algorithm. 275-282
  
• Asanobu Kitamoto:
  Evolution Map: Modeling State Transition of Typhoon Image Sequences by Spatio-Temporal Clustering. 283-290
  
• Jaroslava Halova, Premysl Zak, Pavel Stopka, Tomoaki Yuzuri, Yukino Abe, Kazuhisa Sakakibara, Hiroko Suezawa, Minoru Hirota:
  Structure-Sweetness Relationships of Aspartame Derivatives by GUHA. 291-296
  

Knowledge Discovery from Texts

• Xiaoshan Fang, Huanye Sheng:
  A Hybrid Approach for Chinese Named Entity Recognition. 297-301
  
• Yoo-Jin Moon, Minkoo Kim, Youngho Hwang, PanKoo Kim, Kijoon Choi:
  Extraction of Word Senses from Human Factors in Knowledge Discovery. 302-309
  
• Fang Li, Huanye Sheng, Dongmo Zhang:
  Event Pattern Discovery from the Stock Market Bulletin. 310-315
  
• Jihoon Yang, Sung-Yong Park:
  Email Categorization Using Fast Machine Learning Algorithms. 316-323
  
• Makoto Haraguchi, Shigetora Nakano, Masaharu Yoshioka:
  Discovery of Maximal Analogies between Stories. 324-331
  
• Yasuhiro Yamada, Daisuke Ikeda, Sachio Hirokawa:
  Automatic Wrapper Generation for Multilingual Web Resources. 332-339
  
• Yongguang Bao, Naohiro Ishii:
  Combining Multiple K-Nearest Neighbor Classifiers for Text Classification by Reducts. 340-347
  
• John Kontos, Areti Elmaoglou, Ioanna Malagardi:
  ARISTA Causal Knowledge Discovery from Texts. 348-355
  

Applications of Knowledge Discovery to Social Science

• Francis Rousseaux, Alain Bonardi:
  Knowledge Discovery as Applied to Music: Will Music Web Retrieval Revolutionize Musicology? 356-363
  
• Laura Maruster, A. J. M. M. Weijters, Wil M. P. van der Aalst, Antal van den Bosch:
  Process Mining: Discovering Direct Successors in Process Logs. 364-373
  
• Makoto Nakamura, Satoshi Tojo:
  The Emergence of Artificial Creole by the EM Algorithm. 374-381
  
• Olivier Lartillot:
  Generalized Musical Pattern Discovery by Analogy from Local Viewpoints. 382-389
  

Machine Learning Approaches

• Zhiwei Fu:
  Using Genetic Algorithms-Based Approach for Better Decision Trees: A Computational Study. 390-397
  
• Frank Höppner:
  Handling Feature Ambiguity in Knowledge Discovery from Time Series. 398-405
  
• Haiyan Zhao, Zhenjiang Hu, Masato Takeichi:
  A Compositional Framework for Mining Longest Ranges. 406-413
  
• Alípio Jorge, João Poças, Paulo J. Azevedo:
  Post-processing Operators for Browsing Large Sets of Association Rules. 414-421
  
• Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio:
  Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction. 422-429
  
• Mark-A. Krogel, Stefan Wrobel:
  Feature Selection for Propositionalization. 430-434
  
• Masaki Narahashi, Einoshin Suzuki:
  Subspace Clustering Based on Compressibility. 435-440
  

New Approaches to Knowledge Discovery

• Lorenzo Magnani, Matteo Piazza, Riccardo Dossena:
  The Extra-Theoretical Dimension of Discovery. Extracting Knowledge by Abduction. 441-448
  
• Hitomi Saito, Kazuhisa Miwa:
  Discovery Process on the WWW: Analysis Based on a Theory of Scientific Discovery. 449-456
  
• Carlotta Piscopo, Mauro Birattari:
  Invention vs. Discovery. 457-462