This work aims to expand the understanding on the nature of institutional innovation and the goal of knowledge innovation of intellectual property (IP) law in the era of big data (BD) and to avoid the risks of information security in the IP service system. On the basis of the era of BD, the...

This paper focuses on the processes of mining data and generating knowledge by using different algorithms given by MSSQL Server 2000 Analysis Services, such as decision tree, clustering, and WEKA, for data visualization. Here, the dataset is used from the academic operational systems, to...

Metro construction is a typical large-scale complex high-risk engineering project, and construction safety risk management is knowledge-intensive. For the safety risk management of metro construction, the value of knowledge lies in the ability to support people to complete specific risk...

The purpose of this paper is to investigate big data and knowledge management in the context of so-called cognitive systems, with a particular focus on IBM’s Watson as a case to illustrate both an emerging form of knowledge management and how firms are analyzing big data to generate knowledge...

The purpose of this research is to increase firm's ability to use knowledge management and data mining tools to implementation customer relationship management in developing countries. The value of knowledge management and customer relationship management is well recognized by many leading...

In today’s increasingly competitive business world, organizations are using ICT to advance their business strategies and increase their competitive advantage. One technological element that is growing in popularity is knowledge discovery in databases (KDD). In this paper, we propose an...