TY - BOOK AU - Kozielski,Stanisław AU - Mrozek,Dariusz AU - Kasprowski,Paweł AU - Małysiak-Mrozek,Bożena AU - Kostrzewa,Daniel ED - SpringerLink (Online service) TI - Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation: 13th International Conference, BDAS 2017, Ustroń, Poland, May 30 - June 2, 2017, Proceedings T2 - Communications in Computer and Information Science, SN - 9783319582740 AV - QA76.9.D343 U1 - 006.312 23 PY - 2017/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Data mining KW - Database management KW - Artificial intelligence KW - Optical data processing KW - Information storage and retrieval KW - Data Mining and Knowledge Discovery KW - Database Management KW - Artificial Intelligence KW - Computer Imaging, Vision, Pattern Recognition and Graphics KW - Information Storage and Retrieval N1 - Big Data and Cloud computing -- Artificial intelligence, data mining and knowledge discovery -- Architectures, structures and algorithms for effcient data processing -- Text mining, Natural Language Processing, ontologies and Semantic Web -- Bioinformatics and biological data analysis -- Industrial applications -- Data mining tools, optimization and compression; Available to subscribing member institutions only. Доступно лише організаціям членам підписки N2 - This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustroń, Poland, in May/June 2017. It consists of 44 carefully reviewed papers selected from 118 submissions. The papers are organized in topical sections, namely big data and cloud computing; artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data processing; text mining, natural language processing, ontologies and semantic web; bioinformatics and biological data analysis; industrial applications; data mining tools, optimization and compression UR - https://doi.org/10.1007/978-3-319-58274-0 ER -