23rd International Symposium on Methodologies for Intelligent Systems - Proceedings

Birkhauser/Springer, 2017.

Academic editor: M. Kryszkiewicz, A. Appice, D. Ślęzak, H. Rybinski, A. Skowron, Z. Ras

This book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular and Soft Clustering for Data Science, Special Session on Knowledge Discovery with Formal Concept Analysis and Related Formalisms, and Special Session devoted to ISMIS 2017 Data Mining Competition on Trading Based on Recommendations, which was launched as a part of the conference.

Chapters

On Containment of Triclusters Collections Generated by Quantified Box Operators

Egurnov D., Ignatov D. I., MEPHU NGUIFO E., , in: 23rd International Symposium on Methodologies for Intelligent Systems - Proceedings.: Birkhauser/Springer, 2017. P. 573–579.

Analysis of polyadic data (for example n-ary relations) becomes a popular task nowadays. While several data mining techniques exist for dyadic contexts, their extensions to triadic case are not obvious. In this work, we study development of ideas of Formal Concept Analysis for processing three-dimensional data, namely OAC-triclustering (from Object, Attribute, Condition). We consider several similar ...

Added: September 18, 2017

Keywords: social networks, Internet, neural networks, data mining, semantic web, learning algorithms, concept lattices, machine learning, algorithms, formal concept analysis, support vector machines, clustering, classification, signal processing, data stream, information retrieval, artificial intelligence, Neural Language Processing (NLP), Recommender Systems