Dmitry I. Ignatov (ed.); Michael Khachay (ed.); Andrey Kutuzov (ed.); Habet Madoyan (ed.); Ilya Makarov (ed.); I Nikishina Springer (2024) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Dmitry I. Ignatov (ed.); Michael Khachay (ed.); Andrey Kutuzov (ed.); Habet Madoyan (ed.); Ilya Makarov (ed.); I Nikishina Springer (2024) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Pavel Braslavski (ed.); Nikolay Karpov (ed.); Marcel Worring (ed.); Yana Volkovich (ed.); Dmitry I. Ignatov (ed.) Springer (2015) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Pavel Braslavski (ed.); Ilya Markov (ed.); Panos Pardalos (ed.); Yana Volkovich (ed.); Dmitry I. Ignatov (ed.); Se Koltsov Springer (2016) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Wil M. P. van der Aalst (ed.); Vladimir Batagelj (ed.); Dmitry I. Ignatov (ed.); Michael Khachay (ed.); Valentina ( Kuskova Springer (2020) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Wil M. P. van der Aalst (ed.); Vladimir Batagelj (ed.); Alexey Buzmakov (ed.); Dmitry I. Ignatov (ed.); Anna (ed. Kalenkova Springer (2021) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Jaume Baixeries (ed.); Dmitry I. Ignatov (ed.); Sergei O. Kuznetsov (ed.); Sergei Stupnikov (ed.) Springer (2024) Saatavuus: Tulossa! Pehmeäkantinen kirja
Springer Sivumäärä: 282 sivua Asu: Pehmeäkantinen kirja Painos: 2014 Julkaisuvuosi: 2014, 19.11.2014 (lisätietoa) Kieli: Englanti
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.