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Advances in Intelligent Data Analysis XI : 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012, Proceedings / edited by Jaakko Hollmen, Frank Klawonn, Allan Tucker.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Hollmén, Jaakko, Editor.
Klawonn, F., Editor.
Tucker, Allan, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 7619
Information Systems and Applications, incl. Internet/Web, and HCI ; 7619
Language:
English
Subjects (All):
Database management.
Application software.
Artificial intelligence.
Information storage and retrieval systems.
Algorithms.
Data mining.
Database Management.
Computer and Information Systems Applications.
Artificial Intelligence.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Local Subjects:
Database Management.
Computer and Information Systems Applications.
Artificial Intelligence.
Information Storage and Retrieval.
Algorithms.
Data Mining and Knowledge Discovery.
Physical Description:
1 online resource (XIV, 426 pages) : 136 illustrations
Edition:
1st ed. 2012.
Contained In:
Springer Nature eBook
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Analysis, IDA 2012, held in Helsinki, Finland, in October 2012. The 32 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 88 submissions. All current aspects of intelligent data analysis are addressed, including intelligent support for modeling and analyzing data from complex, dynamical systems. The papers focus on novel applications of IDA techniques to, e.g., networked digital information systems; novel modes of data acquisition and the associated issues; robustness and scalability issues of intelligent data analysis techniques; and visualization and dissemination results.
Contents:
Intelligent Data Analysis of Human Genetic Data
Queries for Data Analysis
Parallel Data Mining Revisited. Better, not Faster
Weighting Features for Partition Around Medoids Using the Minkowski Metric
On Initializations for the Minkowski Weighted K-Means
A Skew-t-normal Multi-level Reduced-rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data
Methodological Foundation for Sign Language 3D Motion Trajectory Analysis
Assembly Detection in Continuous Neural Spike Train Data
Online Techniques for Dealing with Concept Drift in Process Mining
An Evolutionary Based Clustering Algorithm Applied to Data Compression for Industrial Systems
Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns
Discriminative Dimensionality Reduction Mappings
Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules
Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation
MCut: A Thresholding Strategy for Multi-label Classification
Improving Tag Recommendation Using Few Associations
Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models
Constrained Clustering Using SAT
Two-stage Approach for Electricity Consumption Forecasting in Public Buildings
Online Predictive Model for Taxi Services
Analysis of Noisy Biosignals for Musical Performance
Information Theoretic Approach to Improve Performance of Networked Control Systems
Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval
Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data
Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields
Patch-based Data Analysis Using Linear-Projection Diffusion
Dictionary Construction for Patch-to-Tensor Embedding
Where Are We Going? Predicting the Evolution of Individuals
Use of General Purpose GPU Programing to Enhance the Classification of Leukaemia Blast Cells in Blood Smear Images
Intelligent Data Analysis by a Home-Use Human Monitoring Robot
Sleep Musicalization: Automatic Music Composition from Sleep Measurements
Engine Parameter Outlier Detection: Verification by Simulating PID Controllers Generated by Genetic Algorithm
Unit Operational Pattern Analysis and Forecasting using EMD and SSA for Industrial Systems.
Other Format:
Printed edition:
ISBN:
978-3-642-34156-4
9783642341564
Access Restriction:
Restricted for use by site license.

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