Principles of data mining and knowledge discovery : 5th European conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 : proceedings /
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| Meeting name: | PKDD 2001 (2001 : Freiburg, Germany) |
|---|---|
| Imprint: | New York : Springer-Verlag, 2001. |
| Description: | xviii, 510 p. : ill. ; 24 cm. |
| Language: | English |
| Series: | Lecture notes in computer science ; 2168. Lecture notes in artficial intelligence Lecture notes in computer science ; 2168. Lecture notes in computer science. Lecture notes in artificial intelligence. |
| Subject: | |
| Format: | E-Resource Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/4492832 |
Table of Contents:
- Self Similar Layered Hidden Markov Models / Jafar Adibi and Wei-Min Shen
- Automatic Text Summarization Using Unsupervised and Semi-supervised Learning / Massih-Reza Amini and Patrick Gallinari
- Detecting Temporal Changes in Event Sequences: An Application to Demographic Data / Hendrik Blockeel, Johannes Furnkranz and Alexia Prskawetz / [et al.]
- Knowledge Discovery in Multi-label Phenotype Data / Amanda Clare and Ross D. King
- Computing Association Rules Using Partial Totals / Frans Coenen, Graham Goulbourne and Paul Leng
- Gaphyl: A Genetic Algorithms Approach to Cladistics / Clare Bates Congdon
- Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity / Omer Egecioglu
- Data Structures for Minimization of Total Within-Group Distance for Spatio-Temporal Clustering / Vladimir Estivill-Castro and Michael E. Houle
- Non-crisp Clustering by Fast, Convergent, and Robust Algorithms / Vladimir Estivill-Castro and Jianhua Yang
- Pattern Extraction for Time Series Classification / Pierre Geurts
- Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study / Fosca Giannotti, Giuseppe Manco and Franco Turini
- Interesting Fuzzy Association Rules in Quantitative Databases / Jeannette M. de Graaf, Walter A. Kosters and Jeroen J. W. Witteman
- Interestingness Measures for Fuzzy Association Rules / Attila Gyenesei and Jukka Teuhola
- A Data Set Oriented Approach for Clustering Algorithm Selection / Maria Halkidi and Michalis Vazirgiannis
- Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection / Melanie Hilario and Alexandros Kalousis
- Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series / Frank Hoppner
- Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB / Rie Honda and Osamu Konishi
- Using Grammatical Inference to Automate Information Extraction from the Web / Theodore W. Hong and Keith L. Clark
- Biological Sequence Data Mining / Yuh-Jyh Hu
- Implication-Based Fuzzy Association Rules / Eyke Hullermeier
- A General Measure of Rule Interestingness / Szymon Jaroszewicz and Dan A. Simovici
- Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization / Jorg Kindermann, Gerhard Paass and Edda Leopold
- Propositionalisation and Aggregates / Arno J. Knobbe, Marc de Haas and Arno Siebes
- Algorithms for the Construction of Concept Lattices and Their Diagram Graphs / Sergei Kuznetsov and Sergei Obiedkov
- Data Reduction Using Multiple Models Integration / Aleksandar O. Lazarevic and Zoran A. Obradovic
- Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution / Roberto R. F. Mendes, Fabricio de B. Voznika and Alex A. Freitas / [et al.]
- Sentence Filtering for Information Extraction in Genomics, a Classification Problem / Claire Nedellec, Mohamed Ould Abdel Vetah and Philippe Bessieres
- Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces / Jorg Ontrup and Helge Ritter
- A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory / Yen-Jen Oyang, Chien-Yu Chen and Tsui-Wei Yang
- Internet Document Filtering Using Fourier Domain Scoring / Laurence A. F. Park, Marimuthu Palaniswami and Ramamohanarao Kotagiri
- Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation / Francisco Pereira, Marcel Just and Tom Mitchell
- Automatic Construction and Refinement of a Class Hierarchy over Multi-valued Data / Nathalie Pernelle, Marie-Christine Rousset and Veronique Ventos
- Comparison of Three Objective Functions for Conceptual Clustering / Celine Robardet and Fabien Feschet
- Identification of ECG Arrhythmias Using Phase Space Reconstruction / Felice M. Roberts, Richard J. Povinelli and Kristina M. Ropella
- Finding Association Rules That Trade Support Optimally against Confidence / Tobias Scheffer
- Bloomy Decision Tree for Multi-objective Classification / Einoshin Suzuki, Masafumi Gotoh and Yuta Choki
- Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction / Shusaku Tsumoto
- Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model / Shusaku Tsumoto
- The TwoKey Plot for Multiple Association Rules Control / Antony Unwin, Heike Hofmann and Klaus Bernt
- Lightweight Collaborative Filtering Method for Binary-Encoded Data / Sholom M. Weiss and Nitin Indurkhya
- Support Vectors for Reinforcement Learning / Thomas G. Dietterich and Xin Wang
- Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining / Heikki Mannila
- Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining / Antony Unwin
- The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery / Gerhard Widmer
- Scallability, Search, and Sampling: From Smart Algorithms to Active Discovery / Stefan Wrobel.
