Autors: Borovska, P. I., Gancheva, V. S., Georgiev, I.
Title: Platform for Adaptive Knowledge Discovery and Decision Making Based on Big Genomics Data Analytics
Keywords: Automatic Generation, Knowledge Base, Scientific Discovery, Scientific Data, Scientific Researches, Share Knowledge

Abstract: In the past years, researchers and analysts worldwide determine big data as a revolution in scientific research and one of the most promising trends that has given impetus to the intensive development of methods and technologies for their investigation and has resulted in the emergence of a new paradigm for scientific research Data-Intensive Scientific Discovery (DISD). The paper presents a platform for adaptive knowledge discovery and decision making tailored to the target of scientific research. The major advantage is the automatic generation of hypotheses and options for decisions, as well as verification and validation utilizing standard data sets and expertise of scientists. The platform is implemented on the basis of scalable framework and scientific portal to access the knowledge base and the software tools, as well as opportunities to share knowledge and technology transfer.

References

    Issue

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11466, pp. 297-308, 2019, Switzerland, Springer Nature, DOI 10.1007/978-3-030-17935-9_27

    Copyright Springer Nature

    Цитирания (Citation/s):
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    Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus