Dynamic knowledge mapping guided by data mining: Application on Healthcare

Dynamic knowledge mapping guided by data mining: Application on Healthcare

The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper...

Knowledge Mapping Evolution Guided by Data Mining

Preserve knowledge, retain know, these are the objectives of a scalable company. The knowledge mapping is graphical techniques which allows preserve and visualize the strategic heritage of the acquired know-how during the years. We use Data mining techniques to exploit the different sources of data and to improve the process of acquiring this knowledge. In this paper, we present a new knowledge...

Gene expression data mining guided by genomic background knowledge

Microarray data represents valuable information resources, nevertheless the knowledge is hidden inside the data and it is not easy to mine. Background knowledge is also stored in various formats and it is challenging to automatically infer the biological meaning from existing repositories. This paper deals with a new gene-expression knowledgefusion system that combines molecular biology data fr...

Application of data mining techniques to healthcare data.

A high-level introduction to data mining as it relates to surveillance of healthcare data is presented. Data mining is compared with traditional statistics, some advantages of automated data systems are identified, and some data mining strategies and algorithms are described. A concrete example illustrates steps involved in the data mining process, and three successful data mining applications ...

The Effects of Guided and Unguided Semantic Mapping on Iranian EFL Learners’ Vocabulary and Grammar Knowledge