Improved algorithm based on incomplete data analysis method
Hanyun Zhang · Jisuanji gongcheng yu sheji · 2009
In practical issues, data in database is seldom complete. Data waiting to be processed is incomplete to some degree. An improved ROUSTIDA algorithm is brought forward. We consider filling of missing values should reflect the basic characters and the connotative internal rules of the information system. Based on the distinguish matrix, the using range of original algorithm is expended, incomplete information system is transformed into complete information system, and make it more reasonable and effective.