Title :
Mining of indeterminacy temporal data based on Fuzziness
Author :
Shuxia, Ren ; Zheng, Zhao
Author_Institution :
Coll. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
Abstract :
About the relation of indeterminacy temporal data in temporal database, Snodgrass brought forward probability method to solve the problem by defining the “Before” relation of indeterminacy instant. Based on which, the paper extends its method by adding two new temporal definitions of indeterminacy instant as well as indeterminacy intervals: “BeforeI” and “simultaneity”. By introducing an argument called “Fuzziness” to describe the degree of indeterminacy, a temporal DBMS based on Computer-based Patient Records (CPR) is constructed to implement the mining of indeterminacy medical temporal data.
Keywords :
data mining; fuzzy logic; probability; temporal databases; CPR; DBMS; computer-based patient records; forward probability method; fuzziness; indeterminacy medical temporal data mining; temporal database; Application software; Computer science; Content management; Data models; Database languages; Diseases; Educational institutions; Transaction databases; Upper bound; CPR (Computer-based Patient Record); fuzziness; indeterminacy temporal data; probability; simultaneity;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5478314
