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022 _a2364-4168
024 7 _a41060
_2local
210 1 0 _aInt J Data Sci Anal
245 1 0 _aInternational Journal of Data Science and Analytics
_h[electronic resource] /
_cedited by João Gama, Longbing Cao.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer.
300 _bonline resource.
520 _aData Science has been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social sci­ence, and lifestyle. The field encompasses the larger ar­eas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. It also tackles related new sci­entific chal­lenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and vis­ualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation. The International Journal of Data Science and Analytics (JDSA) brings together thought leaders, researchers, industry practitioners, and potential users of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations. The jour­nal is composed of three streams: Regular, to communicate original and reproducible theoretical and experimental findings on data science and analytics; Applications, to report the significant data science applications to real-life situations; and Trends, to report expert opinion and comprehensive surveys and reviews of relevant areas and topics in data science and analytics. Topics of relevance include all aspects of the trends, scientific foundations, techniques, and applica­tions of data science and analytics, with a primary focus on: statistical and mathematical foundations for data science and analytics; understanding and analytics of complex data, human, domain, network, organizational, social, behavior, and system characteristics, complexities and intelligences; creation and extraction, processing, representation and modelling, learning and discovery, fusion and integration, presentation and visualization of complex data, behavior, knowledge and intelligence; data analytics, pattern recognition, knowledge discovery, machine learning, deep analytics and deep learning, and intelligent processing of various data (including transaction, text, image, video, graph and network), behaviors and systems; active, real-time, personalized, actionable and automated analytics, learning, computation, optimization, presentation and recommendation; big data architecture, infrastructure, computing, matching, indexing, query processing, mapping, search, retrieval, interopera­bility, exchange, and recommendation; in-memory, distributed, parallel, scalable and high-performance computing, analytics and optimization for big data; review, surveys, trends, prospects and opportunities of data science research, innovation and applications; data science applications, intelligent devices and services in scientific, business, governmental, cultural, behavioral, social and economic, health and medical, human, natural and artificial (including online/Web, cloud, IoT, mobile and social media) domains; and ethics, quality, privacy, safety and security, trust, and risk of data science and analytics.
650 0 _aData mining.
650 0 _aDatabase management.
650 0 _aArtificial intelligence.
650 0 _aBioinformatics.
650 0 _aBusiness information services.
650 1 4 _aData Mining and Knowledge Discovery.
650 2 4 _aDatabase Management.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputational and Systems Biology.
650 2 4 _aBusiness Information Systems.
700 1 _aGama, João.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCao, Longbing.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
776 0 8 _iPrinted version:
_x2364-415X
856 4 0 _uhttp://link.springer.com/journal/41060
_zHybrid
999 _c4600
_d4600