Title :
The Analysis of Water and Health Database by One Improved A-Priori Algorithm
Author_Institution :
Sch. of Civil & Environ. Eng., East China Inst. of Technol., Fuzhou, China
Abstract :
Water quality and local illnesses have some relationships which can not be predicted by simple statistical algorithm so one improved A-Priori algorithm is introduced to objectively meet this question. A-Priori algorithm, which can efficiently find useful associational relationships among databases, is one popular algorithm in associational rule mining. Moreover, this paper introduced some useful and extended conceptions to improve the efficiency of A-Priori algorithm, such as independent support counts and error support count on these properties. Statistical graph of database is applied in the experience of database to directly describe the relationship between elements in pollution water and illness. At the same time, many experiences on mining associational rules are done so as to test the efficiency of algorithm. These experiences proved that statistical graph of database can straightforward discover associational rules on elements in water and illnesses in database.
Keywords :
data mining; diseases; environmental science computing; relational databases; water pollution; water quality; a-priori algorithm; associational relationships; associational rule mining; error support count; health database; independent support counts; local illnesses; statistical graph; water pollution; water quality; Algorithm design and analysis; Association rules; Data engineering; Data mining; Humans; Information analysis; Itemsets; Testing; Transaction databases; Water pollution; A-Priori algorithm; Statistical graph of database; associational rules; independent support count;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.64
