International Journal of Data Science and Analytics
短名 | Int J Data Sci Anal |
Journal Impact | 3.25 |
国际分区 | COMPUTER SCIENCE, INFORMATION SYSTEMS(Q2) |
ISSN | 2364-415X, 2364-4168 |
h-index | 31 |
数据科学已被确立为重要的新兴科学领域和范式,推动统计学、计算科学和智能科学等学科的研究发展,以及科学、工程、公共部门、商业、社会科学和生活方式等领域的实践变革.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大的领域。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的综合分析,以更好地做出决策、协作并最终实现价值CREATION.THE INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS (JDSA) 汇集了数据科学与分析的思想领袖、研究人员、行业从业者和潜在用户,共同开发该领域,讨论新趋势和机遇,交流想法和实践,并促进跨学科和跨领域的合作。该期刊由三个流组成: 常规,交流有关数据科学和分析的原始和可重复的理论和实验发现;应用程序,将重要的数据科学应用报告到现实生活中;和趋势,报告专家意见以及对数据科学和分析相关领域和主题的全面调查和评论。相关主题包括数据科学和分析的趋势、科学基础、技术和应用的所有方面,主要关注点关于:数据科学和分析的统计和数学基础;对复杂数据、人类、领域、网络、组织、社会、行为和系统特征、复杂性和智能的理解和分析;创建和提取、处理、表示和建模、学习复杂数据、行为、知识和智能的发现、融合和整合、呈现和可视化;数据分析、模式识别、知识发现、机器学习、深度分析和深度学习,以及各种数据(包括事务、文本、图像、视频、图形和网络)、行为和系统;主动、实时、个性化ZED、可操作和自动化的分析、学习、计算、优化、演示和推荐;大数据架构、基础设施、计算、匹配、索引、查询处理、映射、搜索、检索、互操作性、交换和推荐;大数据的内存、分布式、并行、可扩展和高性能计算、分析和优化;数据科学研究、创新和应用的回顾、调查、趋势、前景和机会;科学、商业、政府、文化、行为、社会和经济、健康和医疗、人类、自然和人工中的数据科学应用、智能设备和服务(包括在线/WEB、云、物联网、移动和社交媒体)域;道德、质量、隐私、安全和安保、信任以及数据科学和分析的风险
期刊主页投稿网址涉及主题 | 计算机科学数学人工智能机器学习数据挖掘统计工程类哲学物理经济操作系统程序设计语言心理学政治学生物数据科学法学量子力学万维网地理 |
出版信息 | 出版商: Springer International Publishing,出版周期: 8 issues per year,期刊类型: journal |
基本数据 | 创刊年份: 2016,原创研究文献占比: 87.34%,自引率:8.80%, Gold OA占比: 32.22% |
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