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Discovery science : 7th international conference, DS 2004, Padova, Italy, October 2 5, 2004 : proceedings

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Author: DS 2004 (2004 : Padua, Italy), Suzuki, Einoshin, Arikawa, S. (Setsuo), 1941-

Added by: sketch

Added Date: 2015-12-29

Language: eng

Subjects: Discoveries in science, Research, Science

Publishers: Berlin ; New York : Springer

Collections: folkscanomy miscellaneous, folkscanomy, additional collections

ISBN Number: 3540233571

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 225.05 MB

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Discovery Science: 7th International Conference, DS 2004, Padova, Italy, October 2-5, 2004. Proceedings
Author: Einoshin Suzuki, Setsuo Arikawa
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-23357-2
DOI: 10.1007/b100845

Table of Contents:

  • Predictive Graph Mining
  • An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases
  • Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance
  • Mining Noisy Data Streams via a Discriminative Model
  • CorClass: Correlated Association Rule Mining for Classification
  • Maximum a Posteriori Tree Augmented Naive Bayes Classifiers
  • Improving Prediction of Distance-Based Outliers
  • Detecting Outliers via Logical Theories and Its Data Complexity
  • Fast Hierarchical Clustering Algorithm Using Locality-Sensitive Hashing
  • Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach
  • Constructive Inductive Learning Based on Meta-attributes
  • Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection
  • Extracting Positive Attributions from Scientific Papers
  • Enhancing SVM with Visualization
  • An Associative Information Retrieval Based on the Dependency of Term Co-occurrence
  • On the Convergence of Incremental Knowledge Base Construction
  • Privacy Problems with Anonymized Transaction Databases
  • A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
  • Using the Computer to Study the Dynamics of the Handwriting Processes
  • Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions

Includes bibliographical references and index

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