Title :
An empirical study on Multivariate Data in medical decision making environment
Author :
Nalinipriya, G. ; Kannan, Ajaykumar
Author_Institution :
Dept. of Inf. Sci. & Technol., Anna Univ. Chennai, Chennai, India
Abstract :
Data mining is the concept of discovering facts from information. Data mining can mine knowledge and patterns from vast quantity of data. Mining is also considered as Knowledge mining, pattern investigation, data searching and of various forms. It is a way of examining easily and processing of query. It gathers data from numerous resources and forms a meaningful datasets. Many computing tools focus on systematic approach of data mining and permit the researchers for examining the scope, outlooks and recognized connection with the real world. This paper focuses on the challenges using Multivariate Datasets and the usage of its data in medical domain.
Keywords :
data mining; decision making; medical computing; medical information systems; query processing; data mining; data searching; knowledge mining; medical decision making environment; multivariate data; pattern investigation; query processing; Annealing; Medical diagnostic imaging; Pattern recognition; Silicon; CAD Dataset; Medical data mining; Multivariate data; knowledge discovery;
Conference_Titel :
Smart Structures and Systems (ICSSS), 2013 IEEE International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-6240-5
DOI :
10.1109/ICSSS.2013.6623016