Advances in Intelligent Data Analysis XII : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings / edited by Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift.

Format:

Book

Contributor:

Tucker, Allan, editor.

Höppner, Frank, editor.

Siebes, Arno, 1958- editor.

Swift, Stephen (Computer scientist), editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 8207.

Information Systems and Applications, incl. Internet/Web, and HCI ; 8207

Language:

English

Subjects (All):

Database management.

Application software.

Artificial intelligence.

Information storage and retrieval.

Algorithms.

Data mining.

Database Management.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Information Storage and Retrieval.

Algorithm Analysis and Problem Complexity.

Data Mining and Knowledge Discovery.

Local Subjects:

Database Management.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Information Storage and Retrieval.

Algorithm Analysis and Problem Complexity.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XIV, 464 pages) : 140 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

This book constitutes the refereed conference proceedings of the 12th International Conference on Intelligent Data Analysis, which was held in October 2013 in London, UK. The 36 revised full papers together with 3 invited papers were carefully reviewed and selected from 84 submissions handling all kinds of modeling and analysis methods, irrespective of discipline. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems.

Contents:

Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead

Computational Techniques for Crop Disease Monitoring in the Developing World

Subjective Interestingness in Exploratory Data Mining

Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures

Detecting Events in Molecular Dynamics Simulations

Graph Clustering by Maximizing Statistical Association Measures

Evaluation of Association Rule Quality Measures through Feature Extraction

Towards Comprehensive Concept Description Based on Association Rules

CD-MOA: Change Detection Framework for Massive Online Analysis

Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks

Finding Frequent Patterns in Parallel Point Processes

Behavioral Clustering for Point Processes

Estimating Prediction Certainty in Decision Trees

Interactive Discovery of Interesting Subgroup Sets

Gaussian Mixture Models for Time Series Modeling, Forecasting, and Interpolation

When Does Active Learning Work

Order Span: Mining Closed Partially Ordered Patterns

Learning Multiple Temporal Matching for Time Series Classification

On the Importance of Nonlinear Modeling in Computer Performance Prediction

Diversity-Driven Widening

Towards Indexing of Web3D Signing Avatars

Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset

Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks

1d-SAX: A Novel Symbolic Representation for Time Series

Learning Models of Activities Involving Interacting Objects

Correcting the Usage of the Hoeffding Inequality in Stream Mining

Exploratory Data Analysis through the Inspection of the Probability Density Function of the Number of Neighbors

The Modeling of Glaucoma Progression through the Use of Cellular Automata

Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices

Gaussian Topographic Co-clustering Model

Preventing Churn in Telecommunications: The Forgotten Network

Computational Properties of Fiction Writing and Collaborative Work

Classifier Evaluation with Missing Negative Class Labels

Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning

Accurate Visual Features for Automatic Tag Correction in Videos

Ontology Database System and Triggers

A Policy Iteration Algorithm for Learning from Preference-Based Feedback

Multiclass Learning from Multiple Uncertain Annotations

Learning Compositional Hierarchies of a Sensorimotor System.

Other Format:

Printed edition:

ISBN:

978-3-642-41398-8

9783642413988

Access Restriction:

Restricted for use by site license.