The RuZA workshop (RuZA2015) was an international Russian-South African workshop on applications of Formal Concept Analysis in Computer Science and Data Analysis. All of the contributed research papers reported on research where models based on Formal Concept Analysis were extensively used. Formal concept analysis (FCA) is a branch of lattice theory motivated by the need for a clear formalization of the notions of concept and conceptual hierarchy. It has been successfully used for conceptual clustering and association-rule mining. We believe that formal concept analysis and its extensions can contribute to the analysis and mining of social networks, text mining, modelling processes, and political studies, among other fields. The objective of the RuZA workshop was to bring together researchers and practitioners to discuss the ways FCA can be used in various applications related to these domains. The workshop program included an introductory talk ”Towards Efficient, Real-time Pocket Data Mining: Current Trends and Open Challenges” given by Herna L. Viktor from School of Electrical Engineering and Computer Science, University of Ottawa, as well as regular talks followed by a panel discussions. The proceedings of RuZA workshop include seven papers that were reviewed by at least two reviewers. We would like to thank all the authors for their contributions and the organizers of RuZA 2015 for their kind support in hosting the workshop. Our warm thanks go also to the reviewers for their careful review of the submissions and their useful comments and suggestions. Finally, we would like to thank Russian foundation for Basic Research (grant no. 14-01-93960) and National Research Foundation of South Africa (grant no. 92187) for financial support of research collaboration and organization of the workshop.
Sergei O. Kuznetsov Bruce W. Watson
This volume contains the papers presented at the Second International Workshop on Soft Computing Applications and Knowledge Discovery (SCAKD 2016) held on July 18, 2016 at the National Research University Higher School of Economics, Moscow, Russia. Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost in real life tasks. The workshop proposes to present high quality scientific results and promising research in the area of soft computing and data mining, particularly by young researchers, with an objective of bringing them to the focus while promoting collaborative research activities. By holding the workshop in conjunction with CLA 2016, we hope to provide the participants exposure and interaction with eminent scientists, engineers, and researchers in the related fields. Each submission has been reviewed by at least two Program Committee members. Six regular papers have been accepted for publication as well as four research proposals. The program also includes one invited industry talk by the representatives of ExactPro company on Using intelligent systems and structural analysis to ensure orderly operations of the modern trading and exchange platforms. We would like to thank all the authors of submitted papers and the Program Committee members for their commitment. We are grateful to our invited speaker and our sponsors: National Research University Higher School of Economics (Moscow, Russia), Russian Foundation for Basic Research, and ExactPro. Finally, we would like to acknowledge the EasyChair system which helped us to manage the reviewing process.
АИСТ'2014 — Третья Международная Научная Конференция по Анализу Изображений, Сетей и Текстов.
УЧАСТНИКИисследователи, чьи научные интересы связаны с разработкой математических моделей, алгоритмов и инструментов анализа данных; практики, которые в своей повседневной работе сталкиваются с задачами обработки и анализа графических, текстовых, и других структурированных и неструктурированных данных; студенты, интересующихся задачами анализа данных, и желающих расширить свои компетенции в области интернет-математики.
ТЕМЫ КОНФЕРЕНЦИИАнализ изображений и видео Компьютерная обработка текстов Анализ форумов, блогов и социальных сетей Геоинформационные системы Машинное обучение и разработка данных (Data Mining) Рекомендательные системы и коллаборативные технологии Информационный поиск Semantic Web, онтологии и их приложения Анализ темпоральных данных (временные ряды, последовательности и т.д.) Математические модели и методы анализа данных Анализ экономических и социологических данных
AIST is a scientific conference on Analysis of Images, Social Networks, and Texts. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science. Similar to the previous year, the conference will be focused on applications of data mining and machine learning techniques to various problem domains: image processing, analysis of social networks, and natural language processing. We hope that the participants will benefit from the interdisciplinary nature of the conference and exchange experience.