SUBMISSION March 25, 2018 - Deadline for Full-Papers Submission (in English) June 01, 2018 - Notification of Paper Acceptance or Rejection June 20, 2018 - Final Paper Submission Date Official language of the DSMP’2018 is English. It will be used for all printed materials, presentations and discussions. Submissions must present original work that has not been previously published, and is not under review elsewhere. Papers must be submitted electronically, in PDF and DOC (or TEX) format, on-line via the EasyChair system. Size of the conference paper should be from 4 to 6 full A4 pages, prepared according IEEE Conference Proceedings Templates. All submissions have to be made using EasyChair system: https://easychair.org/conferences/?conf=dsmp2018 At least one of the authors (presenting author) of each accepted paper is required to register, pay participation fee and participate in the Conference. Each author can submit and present no more than 3 papers. The DSMP’2018 will implement a single blind peer review process. All submitted papers will be provided to three independent anonymous reviewers. All accepted papers and oral (or poster) presenting at the DSMP’2018 will be submitted for inclusion in IEEE Xplore Digital Library as well as other Abstracting and Indexing (A&I) databases (Scopus, Web of Science and etc). “No-show” papers won’t be submitted for inclusion in IEEE Xplore Digital Library. All questions we can ask via e-mail to the Conference Committee Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її. and Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її. Hybrid Systems of Computational Intelligence Information processing systems which combine different aproaches of Computational Intelligence, for example, artificial neural networks which are learnt by evolutionary algorithms, neuro-fuzzy systems, wavelet-neuro-fuzzysystems, neuro-neo-fuzzy-systems, particle swarm algorithms, evolving systems, deep learning etc. Machine Vision and Pattern Recognition Video Streams that are fed from video cameras in an online mode under environment uncertainty and variability conditions. Dynamic Data Mining & Data Stream Mining Data Mining problems (classification, clustering, prediction, identification etc.) when information is fed in an online mode in the form of data streams. Big Data & Data Science Using Intelligent Approaches Systems of Computational Intelligence (artificial neural networks, fuzzy reasoning systems, evolutionary algorithms) in the tasks of Big Data processing (high-dimensional data) where data are stored in VLDB or fed in an unlimited data stream. Panels This event to share resources and ideas with all scientific associations and R&D departments of IT companies.