International Journal of Data Science and Analytics

期刊简介：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

【译文】数据科学已成为一个重要的新兴科学领域和范式，推动着统计学、计算机科学和智能科学等学科的研究进化，以及在科学、工程、公共部门、商业、社会科学和生活方式等领域的实际转型。该领域包括人工智能、数据分析、机器学习、模式识别、自然语言理解和大数据操作等更广泛的领域。它还应对相关的新科学挑战，从数据捕获、创建、存储、检索、共享、分析、优化和可视化，到跨异构和相互依赖的复杂资源进行综合分析，以实现更好的决策、协作和最终的价值创造。《国际数据科学与分析杂志》（JDSA）汇集了数据科学和分析领域的思想领袖、研究人员、行业实践者和潜在用户，以发展该领域，讨论新的趋势和机遇，交流思想和实践，并促进跨学科和跨领域的合作。该杂志由三个部分组成：常规部分，用于交流数据科学和分析领域的原创和可复制的理论实验发现；应用部分，用于报告对现实生活情况的重要数据科学应用；趋势部分，用于报告专家意见和相关领域和主题的全面调查和评论。