Multi-disciplinary Trends in Artificial Intelligence : 7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013, Proceedings / edited by Sheela Romanna, Pawan Lingras, Chattrakul Sombattheera, Aneesh Krishna.

Format:

Book

Contributor:

Romanna, Sheela, editor.

Lingras, Pawan, editor.

Sombattheera, Chattrakul, editor.

Krishna, Aneesh, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 8271.

Lecture Notes in Artificial Intelligence ; 8271

Language:

English

Subjects (All):

Artificial intelligence.

Data mining.

Optical data processing.

Algorithms.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Image Processing and Computer Vision.

Algorithm Analysis and Problem Complexity.

Local Subjects:

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Image Processing and Computer Vision.

Algorithm Analysis and Problem Complexity.

Physical Description:

1 online resource (XIV, 342 pages) : 125 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 thoroughly refereed conference proceedings of the 7th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2013, held in Krabi, Thailand, in December 2013. The 30 full papers were carefully reviewed and selected from 65 submissions and cover topics such as cognitive science, computational intelligence, computational philosophy, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, speech, vision and the web.

Contents:

Region Based Indexing and Retrieval of MR-T2 Brain Images

Human Activity Recognition through Identification of Actions

Survey on Anomaly Detection using Data Mining Techniques

An ET-Based Low-Level Solution for Query-Answering Problems

Incremental Rough Possibilistic K-Modes

Algorithm for designing non-identical rectangular machine layout

Induction Motor Control using Two Intelligent Algorithms Analysis

Unscented Kalman Filter for Noisy Multivariate Financial Time-Series Data

Design of a multi-day tour-and-charging scheduler for electric vehicles. .

Other Format:

Printed edition:

ISBN:

978-3-642-44949-9

9783642449499

Access Restriction:

Restricted for use by site license.