Coverart for item
The Resource Knowledge discovery in databases : PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings, Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (eds.), (electronic resource)

Knowledge discovery in databases : PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings, Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (eds.), (electronic resource)

Label
Knowledge discovery in databases : PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings
Title
Knowledge discovery in databases
Title remainder
PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings
Statement of responsibility
Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (eds.)
Title variation
  • PKDD 2006
  • 10th European Conference on Principles and Practice of Knowledge Discovery in Databases
  • Tenth European Conference on Principles and Practice of Knowledge Discovery in Databases
  • European Conference on Principles and Practice of Knowledge Discovery in Databases
Creator
Contributor
Provider
Subject
Genre
Language
eng
Summary
This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006, held in Berlin, Germany in September 2006, jointly with ECML 2006. The 36 revised full papers and 26 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 564 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area
Member of
Cataloging source
GW5XE
Image bit depth
0
LC call number
QA76.9.D343
LC item number
E97 2006eb
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2006
http://bibfra.me/vocab/lite/meetingName
European Conference on Principles and Practice of Knowledge Discovery in Databases
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • SpringerLink
  • Fürnkranz, Johannes
  • Scheffer, Tobias
  • Spiliopoulou, Myra
Series statement
Lecture Notes in Computer Science,
Series volume
4213
http://library.link/vocab/subjectName
  • Data mining
  • Database searching
  • Exploration de données (Informatique)
  • Bases de données
  • Data mining
  • Database searching
  • Informatique
Label
Knowledge discovery in databases : PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings, Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (eds.), (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Color
not applicable
Contents
Invited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery -- Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics -- Clustering Scientific Literature Using Sparse Citation Graph Analysis -- VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences -- Don’t Be Afraid of Simpler Patterns -- An Adaptive Prequential Learning Framework for Bayesian Network Classifiers -- Adaptive Active Classification of Cell Assay Images -- Learning Parameters in Entity Relationship Graphs from Ranking Preferences -- Detecting Fraudulent Personalities in Networks of Online Auctioneers -- Measuring Constraint-Set Utility for Partitional Clustering Algorithms -- Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering -- Optimal String Mining Under Frequency Constraints -- k-Anonymous Decision Tree Induction -- Closed Sets for Labeled Data -- Finding Trees from Unordered 0–1 Data -- Web Communities Identification from Random Walks -- Information Marginalization on Subgraphs -- Why Does Subsequence Time-Series Clustering Produce Sine Waves? -- Transductive Learning for Text Classification Using Explicit Knowledge Models -- Exploring Multiple Communities with Kernel-Based Link Analysis -- Distribution Rules with Numeric Attributes of Interest -- Tractable Models for Information Diffusion in Social Networks -- Efficient Spatial Classification Using Decoupled Conditional Random Fields -- Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data -- An Attacker’s View of Distance Preserving Maps for Privacy Preserving Data Mining -- A Scalable Distributed Stream Mining System for Highway Traffic Data -- K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance -- The Discrete Basis Problem -- Evaluation of Summarization Schemes for Learning in Streams -- Efficient Mining of Correlation Patterns in Spatial Point Data -- Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs -- Refining Aggregate Conditions in Relational Learning -- Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification -- RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings -- Distributed Subgroup Mining -- Network Flow for Collaborative Ranking -- Short Papers -- Finding Hierarchies of Subspace Clusters -- Integrating Pattern Mining in Relational Databases -- Discovering Patterns in Real-Valued Time Series -- Classification of Dementia Types from Cognitive Profiles Data -- When Efficient Model Averaging Out-Performs Boosting and Bagging -- Peak-Jumping Frequent Itemset Mining Algorithms -- Autonomous Visualization -- Naive Bayes for Text Classification with Unbalanced Classes -- Knowledge-Conscious Data Clustering -- On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining -- Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles -- Efficient Name Disambiguation for Large-Scale Databases -- Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures -- A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction -- Discovering Image-Text Associations for Cross-Media Web Information Fusion -- Mining Sequences of Temporal Intervals -- Pattern Teams -- Compression Picks Item Sets That Matter -- Discovering Overlapping Communities of Named Entities -- Closed Non-derivable Itemsets -- Learning a Distance Metric for Object Identification Without Human Supervision -- Towards Association Rules with Hidden Variables -- A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry -- Incremental Aspect Models for Mining Document Streams -- Learning Approximate MRFs from Large Transaction Data -- Similarity Search for Multi-dimensional NMR-Spectra of Natural Products
Dimensions
unknown
Extent
1 online resource (xxii, 660 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783540460480
Level of compression
uncompressed
Other physical details
ill.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
Stock number
978-3-540-45374-1
System control number
  • (OCoLC)262693459
  • (OCoLC)ocn262693459
  • (DE-He213)11871637
Label
Knowledge discovery in databases : PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings, Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (eds.), (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Color
not applicable
Contents
Invited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery -- Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics -- Clustering Scientific Literature Using Sparse Citation Graph Analysis -- VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences -- Don’t Be Afraid of Simpler Patterns -- An Adaptive Prequential Learning Framework for Bayesian Network Classifiers -- Adaptive Active Classification of Cell Assay Images -- Learning Parameters in Entity Relationship Graphs from Ranking Preferences -- Detecting Fraudulent Personalities in Networks of Online Auctioneers -- Measuring Constraint-Set Utility for Partitional Clustering Algorithms -- Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering -- Optimal String Mining Under Frequency Constraints -- k-Anonymous Decision Tree Induction -- Closed Sets for Labeled Data -- Finding Trees from Unordered 0–1 Data -- Web Communities Identification from Random Walks -- Information Marginalization on Subgraphs -- Why Does Subsequence Time-Series Clustering Produce Sine Waves? -- Transductive Learning for Text Classification Using Explicit Knowledge Models -- Exploring Multiple Communities with Kernel-Based Link Analysis -- Distribution Rules with Numeric Attributes of Interest -- Tractable Models for Information Diffusion in Social Networks -- Efficient Spatial Classification Using Decoupled Conditional Random Fields -- Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data -- An Attacker’s View of Distance Preserving Maps for Privacy Preserving Data Mining -- A Scalable Distributed Stream Mining System for Highway Traffic Data -- K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance -- The Discrete Basis Problem -- Evaluation of Summarization Schemes for Learning in Streams -- Efficient Mining of Correlation Patterns in Spatial Point Data -- Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs -- Refining Aggregate Conditions in Relational Learning -- Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification -- RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings -- Distributed Subgroup Mining -- Network Flow for Collaborative Ranking -- Short Papers -- Finding Hierarchies of Subspace Clusters -- Integrating Pattern Mining in Relational Databases -- Discovering Patterns in Real-Valued Time Series -- Classification of Dementia Types from Cognitive Profiles Data -- When Efficient Model Averaging Out-Performs Boosting and Bagging -- Peak-Jumping Frequent Itemset Mining Algorithms -- Autonomous Visualization -- Naive Bayes for Text Classification with Unbalanced Classes -- Knowledge-Conscious Data Clustering -- On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining -- Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles -- Efficient Name Disambiguation for Large-Scale Databases -- Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures -- A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction -- Discovering Image-Text Associations for Cross-Media Web Information Fusion -- Mining Sequences of Temporal Intervals -- Pattern Teams -- Compression Picks Item Sets That Matter -- Discovering Overlapping Communities of Named Entities -- Closed Non-derivable Itemsets -- Learning a Distance Metric for Object Identification Without Human Supervision -- Towards Association Rules with Hidden Variables -- A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry -- Incremental Aspect Models for Mining Document Streams -- Learning Approximate MRFs from Large Transaction Data -- Similarity Search for Multi-dimensional NMR-Spectra of Natural Products
Dimensions
unknown
Extent
1 online resource (xxii, 660 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783540460480
Level of compression
uncompressed
Other physical details
ill.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
Stock number
978-3-540-45374-1
System control number
  • (OCoLC)262693459
  • (OCoLC)ocn262693459
  • (DE-He213)11871637

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