Healthcare is a knowledge intensive process, which requires large amount of information
from various healthcare knowledge providers. However, this growing information makes …

Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in
current research and industrial applications. Processing massive amounts of data generated …

Abstract Knowledge modeling is an important step in building knowledge‐based
applications. Understanding the processes of knowledge modeling and the techniques …

Purpose Creativity is an important skill for design teams to reach new and useful solutions.
Designers often use one or more of creativity and innovation techniques (CITs) to achieve …

This research aims to (1) identify the critical risk factors that influence the governance of
enterprise internal control in a big data environment,(2) depict the intertwined and …

The purpose of this research is to introduce an innovative decision architecture to assess
corporate risks by utilizing accounting narratives and to further examine the association …

Directing at the problem of inaccurate expression of tacit knowledge and low heuristic of
retrieval results in the design inspiration drawing process of designers based on traditional …

In a highly intertwined and connected business environment, globalized layout planning can
be an effective way for enterprises to expand their market. Nevertheless, conflicts and …

Detecting outliers is a widely studied problem in many disciplines, including statistics, data
mining, and machine learning. All anomaly detection activities are aimed at identifying cases …

The aim of the article is the analysis of using LOF, COF and Kmeans algorithms for outlier
detection in rule based knowledge bases. The subject of outlier mining is very important …