1.

Record Nr.

UNINA9910298995003321

Titolo

Analysis of Images, Social Networks and Texts : Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers / / edited by Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav E. Yavorsky

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-12580-X

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (XVI, 282 p. 79 illus.)

Collana

Communications in Computer and Information Science, , 1865-0929 ; ; 436

Disciplina

621.367

Soggetti

Data mining

Natural language processing (Computer science)

Optical data processing

Artificial intelligence

Information storage and retrieval

Data Mining and Knowledge Discovery

Natural Language Processing (NLP)

Computer Imaging, Vision, Pattern Recognition and Graphics

Artificial Intelligence

Information Storage and Retrieval

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Analysis of images and videos -- Natural language processing and computational linguistics -- Social network analysis -- Machine learning and data mining -- Recommender systems and collaborative technologies -- Semantic web, ontologies and their applications -- Analysis of socio-economic data.        .

Sommario/riassunto

This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74



submissions. They are presented together with 3 short industrial papers, 4 invited papers and tutorials. The papers deal with topics such as analysis of images and videos; natural language processing and computational linguistics; social network analysis; machine learning and data mining; recommender systems and collaborative technologies; semantic web, ontologies and their applications; analysis of socio-economic data.          .