Coverart for item
The Resource Principles of data mining and knowledge discovery : 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002 : proceedings, Tapio Elomaa, Heikki Mannila, Hannu Toivonen (eds.)

Principles of data mining and knowledge discovery : 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002 : proceedings, Tapio Elomaa, Heikki Mannila, Hannu Toivonen (eds.)

Label
Principles of data mining and knowledge discovery : 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002 : proceedings
Title
Principles of data mining and knowledge discovery
Title remainder
6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002 : proceedings
Statement of responsibility
Tapio Elomaa, Heikki Mannila, Hannu Toivonen (eds.)
Title variation
PKDD 2002
Creator
Contributor
Subject
Genre
Language
eng
Member of
Additional physical form
Also available via the World Wide Web.
Cataloging source
DLC
Dewey number
006.3
Illustrations
illustrations
Index
index present
LC call number
QA76.9.D343
LC item number
P553 2002
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2002
http://bibfra.me/vocab/lite/meetingName
PKDD 2002
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1963-
http://library.link/vocab/relatedWorkOrContributorName
  • Elomaa, Tapio
  • Mannila, Heikki
  • Toivonen, Hannu
Series statement
  • Lecture notes in computer science
  • Lecture notes in artificial intelligence
Series volume
2431.
http://library.link/vocab/subjectName
  • Data mining
  • Database searching
Label
Principles of data mining and knowledge discovery : 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002 : proceedings, Tapio Elomaa, Heikki Mannila, Hannu Toivonen (eds.)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Optimized Substructure Discovery for Semi-structured Data / Kenji Abe, Shinji Kawasoe, Tatsuya Asai, Hiroki Arimura and Setsuo Arikawa -- Fast Outlier Detection in High Dimensional Spaces / Fabrizio Angiulli and Clara Pizzuti -- Data Mining in Schizophrenia Research -- Preliminary Analysis / Stefan Arnborg, Ingrid Agartz, Hakan Hall, Erik Jonsson, Anna Sillen and Goran Sedvall -- Fast Algorithms for Mining Emerging Patterns / James Bailey, Thomas Manoukian and Kotagiri Ramamohanarao -- On the Discovery of Weak Periodicities in Large Time Series / Christos Berberidis, Ioannis Vlahavas, Walid G. Aref, Mikhail Atallah and Ahmed K. Elmagarmid -- The Need for Low Bias Algorithms in Classification Learning from Large Data Sets / Damien Brain and Geoffrey I. Webb -- Mining All Non-derivable Frequent Itemsets / Toon Calders and Bart Goethals -- Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance / Yuta Choki and Einoshin Suzuki -- Finding Association Rules with Some Very Frequent Attributes / Frans Coenen and Paul Leng -- Unsupervised Learning: Self-aggregation in Scaled Principal Component Space / Chris Ding, Xiaofeng He, Hongyuan Zha and Horst Simon -- A Classification Approach for Prediction of Target Events in Temporal Sequences / Carlotta Domeniconi, Chang-shing Perng, Ricardo Vilalta and Sheng Ma -- Privacy-Oriented Data Mining by Proof Checking / Amy Felty and Stan Matwin -- Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification / George Forman -- Generating Actionable Knowledge by Expert-Guided Subgroup Discovery / Dragan Gamberger and Nada Lavrac -- Clustering Transactional Data / Fosca Giannotti, Cristian Gozzi and Giuseppe Manco -- Multiscale Comparison of Temporal Patterns in Time-Series Medical Databases / Shoji Hirano and Shusaku Tsumoto -- Association Rules for Expressing Gradual Dependencies / Eyke Hullermeier -- Support Approximations Using Bonferroni-Type Inequalities / Szymon Jaroszewicz and Dan A. Simovici -- Using Condensed Representations for Interactive Association Rule Mining / Baptiste Jeudy and Jean-Francois Boulicaut -- Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting / Mahesh V. Joshi, Ramesh C. Agarwal and Vipin Kumar -- Dependency Detection in MobiMine and Random Matrices / Hillol Kargupta, Krishnamoorthy Sivakumar and Samiran Ghosh -- Long-Term Learning for Web Search Engines / Charles Kemp and Kotagiri Ramamohanarao -- Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database / Willi Klosgen and Michael May -- Involving Aggregate Functions in Multi-relational Search / Arno J. Knobbe, Arno Siebes and Bart Marseille -- Information Extraction in Structured Documents Using Tree Automata Induction / Raymond Kosala, Jan Van den Bussche, Maurice Bruynooghe and Hendrik Blockeel -- Algebraic Techniques for Analysis of Large Discrete-Valued Datasets / Mehmet Koyuturk, Ananth Grama and Naren Ramakrishnan -- Geography of Differences between Two Classes of Data / Jinyan Li and Limsoon Wong -- Rule Induction for Classification of Gene Expression Array Data / Per Liden, Lars Asker and Henrik Bostrom -- Clustering Ontology-Based Metadata in the Semantic Web / Alexander Maedche and Valentin Zacharias -- Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases / Hiroshi Mamitsuka -- SVM Classification Using Sequences of Phonemes and Syllables / Gerhard Paass, Edda Leopold, Martha Larson, Jorg Kindermann and Stefan Eickeler -- A Novel Web Text Mining Method Using the Discrete Cosine Transform / Laurence A. F. Park, Marimuthu Palaniswami and Kotagiri Ramamohanarao -- A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases / Tobias Scheffer and Stefan Wrobel -- Answering the Most Correlated N Association Rules Efficiently / Jun Sese and Shinichi Morishita -- Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model / Shusaku Tsumoto -- Efficiently Mining Approximate Models of Associations in Evolving Databases / Adriano Veloso, Bruno Gusmao, Wagner Meira, Jr., Marcio Carvalho, Srini Parthasarathy and Mohammed Zaki -- Explaining Predictions from a Neural Network Ensemble One at a Time / Robert Wall, Padraig Cunningham and Paul Walsh -- Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD / Karsten Winkler and Myra Spiliopoulou -- Separability Index in Supervised Learning / Djamel A. Zighed, Stephane Lallich and Fabrice Muhlenbach -- Finding Hidden Factors Using Independent Component Analysis / Erkki Oja -- Reasoning with Classifiers / Dan Roth -- A Kernel Approach for Learning from Almost Orthogonal Patterns / Bernhard Scholkopf, Jason Weston, Eleazar Eskin, Christina Leslie and William Stafford Noble -- Learning with Mixture Models: Concepts and Applications / Padhraic Smyth
Control code
50215714
Dimensions
24 cm
Dimensions
unknown
Extent
xiv, 514 pages
Isbn
9783540440376
Isbn Type
(softcover : alk. paper)
Lccn
2002029161
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Specific material designation
remote
Label
Principles of data mining and knowledge discovery : 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002 : proceedings, Tapio Elomaa, Heikki Mannila, Hannu Toivonen (eds.)
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Optimized Substructure Discovery for Semi-structured Data / Kenji Abe, Shinji Kawasoe, Tatsuya Asai, Hiroki Arimura and Setsuo Arikawa -- Fast Outlier Detection in High Dimensional Spaces / Fabrizio Angiulli and Clara Pizzuti -- Data Mining in Schizophrenia Research -- Preliminary Analysis / Stefan Arnborg, Ingrid Agartz, Hakan Hall, Erik Jonsson, Anna Sillen and Goran Sedvall -- Fast Algorithms for Mining Emerging Patterns / James Bailey, Thomas Manoukian and Kotagiri Ramamohanarao -- On the Discovery of Weak Periodicities in Large Time Series / Christos Berberidis, Ioannis Vlahavas, Walid G. Aref, Mikhail Atallah and Ahmed K. Elmagarmid -- The Need for Low Bias Algorithms in Classification Learning from Large Data Sets / Damien Brain and Geoffrey I. Webb -- Mining All Non-derivable Frequent Itemsets / Toon Calders and Bart Goethals -- Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance / Yuta Choki and Einoshin Suzuki -- Finding Association Rules with Some Very Frequent Attributes / Frans Coenen and Paul Leng -- Unsupervised Learning: Self-aggregation in Scaled Principal Component Space / Chris Ding, Xiaofeng He, Hongyuan Zha and Horst Simon -- A Classification Approach for Prediction of Target Events in Temporal Sequences / Carlotta Domeniconi, Chang-shing Perng, Ricardo Vilalta and Sheng Ma -- Privacy-Oriented Data Mining by Proof Checking / Amy Felty and Stan Matwin -- Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification / George Forman -- Generating Actionable Knowledge by Expert-Guided Subgroup Discovery / Dragan Gamberger and Nada Lavrac -- Clustering Transactional Data / Fosca Giannotti, Cristian Gozzi and Giuseppe Manco -- Multiscale Comparison of Temporal Patterns in Time-Series Medical Databases / Shoji Hirano and Shusaku Tsumoto -- Association Rules for Expressing Gradual Dependencies / Eyke Hullermeier -- Support Approximations Using Bonferroni-Type Inequalities / Szymon Jaroszewicz and Dan A. Simovici -- Using Condensed Representations for Interactive Association Rule Mining / Baptiste Jeudy and Jean-Francois Boulicaut -- Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting / Mahesh V. Joshi, Ramesh C. Agarwal and Vipin Kumar -- Dependency Detection in MobiMine and Random Matrices / Hillol Kargupta, Krishnamoorthy Sivakumar and Samiran Ghosh -- Long-Term Learning for Web Search Engines / Charles Kemp and Kotagiri Ramamohanarao -- Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database / Willi Klosgen and Michael May -- Involving Aggregate Functions in Multi-relational Search / Arno J. Knobbe, Arno Siebes and Bart Marseille -- Information Extraction in Structured Documents Using Tree Automata Induction / Raymond Kosala, Jan Van den Bussche, Maurice Bruynooghe and Hendrik Blockeel -- Algebraic Techniques for Analysis of Large Discrete-Valued Datasets / Mehmet Koyuturk, Ananth Grama and Naren Ramakrishnan -- Geography of Differences between Two Classes of Data / Jinyan Li and Limsoon Wong -- Rule Induction for Classification of Gene Expression Array Data / Per Liden, Lars Asker and Henrik Bostrom -- Clustering Ontology-Based Metadata in the Semantic Web / Alexander Maedche and Valentin Zacharias -- Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases / Hiroshi Mamitsuka -- SVM Classification Using Sequences of Phonemes and Syllables / Gerhard Paass, Edda Leopold, Martha Larson, Jorg Kindermann and Stefan Eickeler -- A Novel Web Text Mining Method Using the Discrete Cosine Transform / Laurence A. F. Park, Marimuthu Palaniswami and Kotagiri Ramamohanarao -- A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases / Tobias Scheffer and Stefan Wrobel -- Answering the Most Correlated N Association Rules Efficiently / Jun Sese and Shinichi Morishita -- Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model / Shusaku Tsumoto -- Efficiently Mining Approximate Models of Associations in Evolving Databases / Adriano Veloso, Bruno Gusmao, Wagner Meira, Jr., Marcio Carvalho, Srini Parthasarathy and Mohammed Zaki -- Explaining Predictions from a Neural Network Ensemble One at a Time / Robert Wall, Padraig Cunningham and Paul Walsh -- Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD / Karsten Winkler and Myra Spiliopoulou -- Separability Index in Supervised Learning / Djamel A. Zighed, Stephane Lallich and Fabrice Muhlenbach -- Finding Hidden Factors Using Independent Component Analysis / Erkki Oja -- Reasoning with Classifiers / Dan Roth -- A Kernel Approach for Learning from Almost Orthogonal Patterns / Bernhard Scholkopf, Jason Weston, Eleazar Eskin, Christina Leslie and William Stafford Noble -- Learning with Mixture Models: Concepts and Applications / Padhraic Smyth
Control code
50215714
Dimensions
24 cm
Dimensions
unknown
Extent
xiv, 514 pages
Isbn
9783540440376
Isbn Type
(softcover : alk. paper)
Lccn
2002029161
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Specific material designation
remote

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