The Resource Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings, Niall M. Adams [and others] (eds.)
Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings, Niall M. Adams [and others] (eds.)
Resource Information
The item Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings, Niall M. Adams [and others] (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings, Niall M. Adams [and others] (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Language
- eng
- Extent
- 1 online resource (xiii, 418 pages)
- Note
- International conference proceedings
- Contents
-
- Invited Papers
- Intelligent Data Analysis in the 21st Century
- Analyzing the Localization of Retail Stores with Complex Systems Tools
- Selected Contributions 1 (Long Talks)
- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
- Exploiting Data Missingness in Bayesian Network Modeling
- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables
- How to Control Clustering Results? Flexible Clustering Aggregation
- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
- Context-Based Distance Learning for Categorical Data Clustering
- Semi-supervised Text Classification Using RBF Networks
- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles
- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis
- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
- Leveraging Call Center Logs for Customer Behavior Prediction
- Condensed Representation of Sequential Patterns According to Frequency-Based Measures
- ART-Based Neural Networks for Multi-label Classification
- Two-Way Grouping by One-Way Topic Models
- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks
- Incremental Bayesian Network Learning for Scalable Feature Selection
- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring
- Zero-Inflated Boosted Ensembles for Rare Event Counts
- Selected Contributions 2 (Short Talks)
- Mining the Temporal Dimension of the Information Propagation
- Adaptive Learning from Evolving Data Streams
- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset
- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?
- Ontology-Driven KDD Process Composition
- Mining Frequent Gradual Itemsets from Large Databases
- Selecting Computer Architectures by Means of Control-Flow-Graph Mining
- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows
- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework
- Multi-Optimisation Consensus Clustering
- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
- Measure of Similarity and Compactness in Competitive Space
- Bayesian Solutions to the Label Switching Problem
- Efficient Vertical Mining of Frequent Closures and Generators
- Isotonic Classification Trees
- Isbn
- 9783642039157
- Label
- Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings
- Title
- Advances in intelligent data analysis VIII
- Title remainder
- 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings
- Statement of responsibility
- Niall M. Adams [and others] (eds.)
- Title variation
- IDA 2009
- Subject
-
- Conference papers and proceedings
- Data mining
- Data mining
- Data mining
- Data mining -- Congresses
- Datenanalyse
- Informatique
- Mathematical statistics -- Data processing
- Mathematical statistics -- Data processing
- Mathematical statistics -- Data processing
- Mathematical statistics -- Data processing -- Congresses
- Conference papers and proceedings
- Language
- eng
- Cataloging source
- GW5XE
- Dewey number
- 006.3/12
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA76.9.D343
- LC item number
- I584 2009
- Literary form
- non fiction
- http://bibfra.me/vocab/lite/meetingDate
- 2009
- http://bibfra.me/vocab/lite/meetingName
- International Symposium on Intelligent Data Analysis
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
- 1968-
- http://library.link/vocab/relatedWorkOrContributorName
- Adams, Niall M.
- Series statement
- Lecture notes in computer science,
- Series volume
- 5772
- http://library.link/vocab/subjectName
-
- Data mining
- Mathematical statistics
- Data mining
- Mathematical statistics
- Informatique
- Data mining
- Mathematical statistics
- Datenanalyse
- Label
- Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings, Niall M. Adams [and others] (eds.)
- Note
- International conference proceedings
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Invited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees
- Control code
- 489215753
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 418 pages)
- Form of item
- online
- Isbn
- 9783642039157
- Lccn
- 2009933040
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-3-642-03914-0
- Publisher number
- 12745715
- Specific material designation
- remote
- System control number
- (OCoLC)489215753
- Label
- Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings, Niall M. Adams [and others] (eds.)
- Note
- International conference proceedings
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Invited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees
- Control code
- 489215753
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 418 pages)
- Form of item
- online
- Isbn
- 9783642039157
- Lccn
- 2009933040
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-3-642-03914-0
- Publisher number
- 12745715
- Specific material designation
- remote
- System control number
- (OCoLC)489215753
Subject
- Conference papers and proceedings
- Data mining
- Data mining
- Data mining
- Data mining -- Congresses
- Datenanalyse
- Informatique
- Mathematical statistics -- Data processing
- Mathematical statistics -- Data processing
- Mathematical statistics -- Data processing
- Mathematical statistics -- Data processing -- Congresses
- Conference papers and proceedings
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Advances-in-intelligent-data-analysis-VIII--8th/qNJK-eahXBM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Advances-in-intelligent-data-analysis-VIII--8th/qNJK-eahXBM/">Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings, Niall M. Adams [and others] (eds.)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>