Data fusion is the process of merging records from multiple sources which represent the
same real-world object into a single representation. This review of the literature concerns …

New technological innovations are changing the future of healthcare system. Identification of
factors that are responsible for causing depression may lead to new experiments and …

Today, many companies are faced with the huge network traffics mainly consisting of the
various type of network attacks due to the increased usage of the botnet, fuzzier, shellcode …

The process of computing a representative trajectory for a set of raw (or even semantically
enriched) trajectories is an attractive solution to minimize several challenges related to …

With the increasing technologies in the digital era, the task of identification of Distributed
Denial of Service (DDoS) attacks is a significantly challenging problem due to the …

Ship coating, as one of the three pillar processes in the shipbuilding industry, runs through
the entire process of ship construction. However, there is currently a lack of effective …

The gap between the raw data from various data sources and the diverse intelligent
applications has been an obstacle in the field of events analysis in online social networks …

As the landscape of big data evolves, the paradigm of data sharing and exchanging has
gained paramount importance. Nonetheless, the transition to efficient data sharing and …

The data linkage techniques “entity linking” and “record linkage” get rising attention as they
enable the integration of multiple data sources for data, web, and text mining approaches …

摘要大数据时代为科技情报研究与服务带来了重大的机遇和挑战, 迫切需要发展新的数据驱动型
情报研究模式来变革数据治理和工作流程, 提高情报研究和咨询服务的质量 …