Title :
Prescriptive Analytics System for Improving Research Power
Author :
Sa-kwang Song ; Kim, D.J. ; Myunggwon Hwang ; Jangwon Kim ; Do-Heon Jeong ; Seungwoo Lee ; Hanmin Jung ; Wonkyung Sung
Author_Institution :
Software Res. Center, Korea Inst. of Sci. & Technol. Inf., Daejeon, South Korea
Abstract :
We introduce a prescriptive analytics system, InSciTe advisory, to provide researchers with advice of their future research direction and strategy. The system analyzes several thousands of heterogeneous types of data sources such as papers, patents, reports, Web news, Web magazines, and collective intelligence data. It consists of two main parts of descriptive analytics and prescriptive analytics. Once given a researcher, the descriptive analytics part provides results from activity history and research power w.r.t the designated researcher. Then, prescriptive analytics part suggests a group of role model researchers to the researcher, as well as how to be like the role model researchers. The prescription for the researcher is provided according to 5W1H questions and their corresponding answers. All of the analytical results and their explanations about the given researcher are automatically generated and saved to a report. This researcher-centric prescriptive analytics has not been introduced before and it is useful tool to understand the designated researcher in the perspective of prescriptive as well as descriptive analytics.
Keywords :
data mining; graphical user interfaces; research and development; semantic Web; text analysis; 5W1H questions; InSciTe advisory; Web magazines; Web news; activity history; analytical analysis; collective intelligence data; descriptive analytics; heterogeneous data source types; papers; patents; prescriptive analytics; reports; research power; research power improvement; researcher-centric prescriptive analytics; role model researchers; semantic Web technologies; text mining; Analytical models; Companies; History; Market research; Semantic Web; Activity History; Big Data; Descriptive Analytics; Prescriptive Analytics; Researcher Power;
Conference_Titel :
Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/CSE.2013.169