Advances in Intelligent Data Analysis XVI : 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings / edited by Niall Adams, Allan Tucker, David Weston.

Format:

Book

Contributor:

Adams, Niall, editor.

Tucker, Allan, editor.

Weston, David, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 10584.

Information Systems and Applications, incl. Internet/Web, and HCI ; 10584

Language:

English

Subjects (All):

Database management.

Data mining.

Information storage and retrieval.

Application software.

Artificial intelligence.

Database Management.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Local Subjects:

Database Management.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Physical Description:

1 online resource (XIII, 348 pages) : 96 illustrations.

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

System Details:

text file PDF

Summary:

This book constitutes the conference proceedings of the 16th International Symposium on Intelligent Data Analysis, which was held in October 2017 in London, UK. The 28 full papers presented in this book were carefully reviewed and selected from 66 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. IDA solicits papers on all aspects of intelligent data analysis, including papers on intelligent support for modelling and analyzing data from complex, dynamical systems.

Contents:

Improving Chairlift Security with Deep Learning

Discovering motifs with variants in music databases

Biclustering Multivariate Time Series

Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects

Regression tree for bandits models in A/B testing

Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases

Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features

Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening

Interactive Pattern Sampling for Characterizing Unlabeled Data

Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories

Natural Language Analysis of Online Health Forums

Freudian Slips: Analysing the Internal Representations of a Neural Network from its Mistakes

KAPMiner: Mining ordered association rules with constraints

A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics

ABIDE: Querying Time-Evolving Sequences of Temporal Intervals

The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950

Learning DTW-Preserving Shapelets

Droplet Ensemble Learning on Drifting Data Streams

Predictive clustering trees for hierarchical multi-target regression

Identifying novel features from specimen data for the prediction of valuable field trips

Adapting supervised classifiation algorithms to arbitrary weak label scenarios

The Combination of Decision in Crowds When The Number of Reliable Annotator is Rare

Estimating Sequence Similarity from Contig Sets

Computational Topology Techniques for Characterizing Time-Series Data

Improving Cold-Start Recommendations with Social-Media Trends and Reputations

Hierarchical Novelty Detection

Towards automatic evaluation of asphalt irregularity using smartphone's Sensors

A structural benchmark for logical argumentation frameworks.

Other Format:

Printed edition:

ISBN:

978-3-319-68765-0

9783319687650

Access Restriction:

Restricted for use by site license.