INT J DATA SCI ANAL
ISSN：2364-415X E-ISSN：2364-4168 出版商：Springer Nature 周期：8 issues per yea
| 收录情况 | h-index：0 CiteScore：4.10 |
Data 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; andethics| quality| privacy| safety and security| trust| and risk of data science and analytics
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