This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic.The 27 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 108 qualified submissions. The papers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; and process mining.

This book constitutes revised selected papers of the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held in Moscow, Russia, in october 2020. Due to the COVID-19 pandemic the conference was held online. The 14 full papers, 9 short papers and 4 poster papers were carefully reviewed and selected from 108 qualified submissions. The papers are organized in topical sections on natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; process mining; posters.

This book constitutes the proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019.The 24 full papers and 10 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were rejected without being reviewed). The papers are organized in topical sections on general topics of data analysis; natural language processing; social network analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behaviour through event data.

This book constitutes the post-conference proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019. The 27 full and 8 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were automatically rejected without being reviewed). The papers are organized in topical sections on general topics of data analysis; natural language processing; social network analysis; analysis of images and video; optimization problems on graphs and network structures; and analysis of dynamic behavior through event data.

Dlya opredeleniya optimal'nogo sroka osemeneniya zhivotnykh mozhet byt' ispol'zovany dannye ob izmenenii khimicheskikh i fizicheskikh svoystv tservikal'nogo sekreta zhivotnykh v razlichnye fazy techki. Razrabotannaya metodika baziruetsya na elektrometricheskikh sposobakh izmereniya provodimosti i kislotnosti vlagalishchnoy slizi zhivotnykh, tem samym opredelyaetsya gotovnost' zhivotnykh k sparivaniyu (osemeneniyu). Provedennye issledovaniya i poluchennye eksperimental'nye dannye podtverzhdayut predpolozhenie o vozmozhnosti opredeleniya srokov osemeneniya sel'skokhozyaystvennykh i krupnykh domashnikh zhivotnykh (v chastnosti, sobak) s vysokoy dostovernost'yu na osnove elektrometricheskikh izmereniy. V rezul'tate issledovaniy razrabotan pribor - tsifrovoy ekspress-tester dlya opredeleniya optimal'nykh srokov osemeneniya zhivotnykh. Ustroystvo sluzhit dlya provedeniya izmereniy provodimosti i kislotnosti vlagalishchnoy slizi zhivotnykh.