Advances in Intelligent Data Analysis XIV : 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings / edited by Elisa Fromont, Tijl De Bie, Matthijs van Leeuwen.

Format:

Book

Contributor:

Fromont, Elisa, editor.

De Bie, Tijl, editor.

Leeuwen, Matthijs van, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 9385.

Information Systems and Applications, incl. Internet/Web, and HCI ; 9385

Language:

English

Subjects (All):

Pattern perception.

Optical data processing.

Artificial intelligence.

Database management.

Algorithms.

Application software.

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Database Management.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Local Subjects:

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Database Management.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Physical Description:

1 online resource (XXIX, 346 pages) : 95 illustrations in color.

Edition:

First edition 2015.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2015.

System Details:

text file PDF

Summary:

This book constitutes the refereed conference proceedings of the 14th International Conference on Intelligent Data Analysis, which was held in October 2015 in Saint Étienne. France. The 29 revised full papers were carefully reviewed and selected from 65 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The symposium aims to provide a forum for inspiring research contributions that might be considered preliminary in other leading conferences and journals, but that have a potentially dramatic impact. To facilitate this, IDA 2015 will feature two tracks: a regular "Proceedings" track, as well as a "Horizon" track for early-stage research of potentially ground-breaking nature.

Contents:

Data analytics and optimization for assessing a ride sharing system

Constraint-Based Querying for Bayesian Network Exploration

Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data

Segregation Discovery in a Social Network of Companies

A first+-order-logic based model for grounded language learning

A parallel distributed processing algorithm for image feature extraction

Modeling concept drift: A probabilistic graphical model based approach

Diversity-driven Widening of Hierarchical Agglomerative Clustering

Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering

Time Series Classification with Representation Ensembles

Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study

On Binary Reduction of Large-scale Multiclass Classification Problems

Probabilistic Active Learning in Data Streams

Implicitly Constrained Semi-Supervised Least Squares Classification

Diagonal Co-clustering Algorithm for Document-Word Partitioning

I-Louvain: an attributed graph clustering method

Class-based outlier detection: staying zombies or awaiting for resurrection?

Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels

Using entropy as a measure of acceptance for multi-label classification

Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps

Exploratory topic modeling with distributional semantics

Assigning Geo-Relevance of Sentiments Mined from Location-Based Social Media Posts

Continuous and Discrete Deep Classifiers for Data Integration

A Bayesian Approach for Identifying Multivariate Differences Between Groups

Automatically Discovering Offensive Patterns in Soccer Match Data

Fast Algorithm Selection using Learning Curves

Optimally Weighted Cluster Kriging for Big Data Regression

Slower can be faster: The iRetis incremental model tree learner

VoQs: A Web Application for Visualization of Questionnaire Surveys.

Other Format:

Printed edition:

ISBN:

978-3-319-24465-5

9783319244655

Access Restriction:

Restricted for use by site license.