Reverse Sequential Covering Algorithm for Medical Data Mining

摘要

Sequential Covering approach often follows general to specific approach to identify essential tuples and which are used to form a learning rule. Like other fields interpretation of sequential cover is more effective in health care also. Reverse technique will help to read instances from the last to generate appropriate rules. Alcoholic fatty liver disorder and Non-alcoholic fatty liver disorder dataset is used in this article for rule learning.