Open AccessPlatform for Big Biomedical Data Streams Management and Analytics
Publication year - 2020
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.156
H-Index - 13
ISSN - 1998-4464
DOI - 10.46300/9106.2020.14.74
Subject(s) - computer science , workflow , analytics , data science , big data , suite , scalability , data management , data stream mining , software , data discovery , knowledge extraction , software analytics , data analysis , visualization , data pre processing , preprocessor , data integration , data mining , database , software development , world wide web , software development process , artificial intelligence , history , archaeology , metadata , programming language
Major challenge in the analysis of clinical data and knowledge discovery is to suggest an integrated, advanced and efficient tools, methods and technologies for access and processing of progressively increasing amounts of data in multiple formats. The paper presents a platform for multidimensional large-scale biomedical data management and analytics, which covers all phases of data discovery, data integration, data preprocessing, data storage, data analytics and visualization. The goal is to suggest an intelligent solution as integrated, scalable workflow development environment consisting of a suite of software tools to automate the computational process in conducting scientific experiments.