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近日,中国科学院心理研究所陈楚侨研究员和左西年研究员入选2019年科睿唯安(Clarivate Analytics)发布的高被引学者名单。这是对两位科研人员在各自研究领域内的杰出表现的肯定。陈楚侨研究员长期专注于精神分裂症及相关精神疾病和高危人群的研究,在该领域的神经心理学、神经影像学和行为遗传学方面做出较大贡献。他的研究兴趣也集中在精神分裂症和高危人群的神经心理学和神经生物学标记上,试图理解大脑...
武汉大学经济与管理学院2020年商业/金融数据分析工程管理硕士(Business Analytics MEM)招生简章。
Smart city is a connection of physical and social infrastructure together with the information technology to leverage the collective intelligence of the city. Cities will build huge data centres. Thes...
Geo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy eff...
The manufacturing industry, which is vital to all economies, is being challenged to improve its efficiency across the product life cycle and the value chain. The critical aspect of “smartnessis enab...
While big data has been a topic of research and industry activity, much of it has been focused on unstructured data such as web logs, web crawl data, and social media data. One area which has received...
Geospatial Informatics is the science and technology that develops and uses information science to address applications in the geospatial and geosciences. Recent trends in big data, visual analytics a...
Environmental and more generally geo-spatial information is now provided by crowdsourcing but also by public administrations in the context of the open data policies. Analyses of such data are still c...
首届“大数据下的服务创新”学术会议暨第四届IEEE风险分析研讨会将由中国系统工程学会服务系统工程分会、IEEE风险分析技术委员会、管理科学与工程学会智能决策分会(筹)及海南大学为主办方,于2017年10月21-22日在海南大学(海甸校区)召开。本次会议以“大数据下的服务创新”为主题,将不同背景和视野的研究者聚集在一起,围绕大数据下电子商务、市场营销、风险管理等领域的服务创新进行探讨,提供一系列基于...
Individuals and organizations face a tension between (1) the explosion in the amount of valuable data that can be collected and processed and (2) the liability of possession and the threat of exposure...
We are entering the era of Big Data, which is characterized by the three Vs: volume, velocity, and variety. Big Data bring new opportunities to modern society and challenges to data scientists. Busine...
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
Many Internet-of-Things (IoT) applications require real-time analytics to maintain situational awareness and make decisions for quick action. Most real-world IoT environments will involve: · Multi-la...
Today's digital contents are inherently multimedia: text, image, audio, video etc., due to the advancement of multimodal sensors. Image and video contents, in particular, become a new way of communica...
In the last few years, the use of Information and Communication Technologies has made available a huge amount of heterogeneous data in various real application domains. For example, in the urban scena...

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