Title : 
A Quick Algorithmfor Reduction of Attribute in Information Systems
         
        
            Author : 
Lv, Yue-jin ; Li, Jin-Hai
         
        
            Author_Institution : 
Guangxi Univ., Nanning
         
        
        
        
        
        
            Abstract : 
Reduction of attribute is one of the key problems in rough set theory. In this paper, Using recursive idea, we design a new approach to calculate partition U/C, whose time complexity is O(C \\U). Then two new and relatively reasonable formulas measuring attribute significance are designed for reducing searching space, which are used as heuristic information to develop a quick attribute reduction algorithm; the theoretical analysis shows that this algorithm is much less time complexity than those existed algorithms. Finally, experimental results demonstrate its feasibility and effectiveness, respectively.
         
        
            Keywords : 
computational complexity; data reduction; information systems; rough set theory; attribute reduction algorithm; information system; rough set theory; time complexity; Algorithm design and analysis; Artificial intelligence; Data privacy; Extraterrestrial measurements; Heuristic algorithms; Information systems; Mathematics; Partitioning algorithms; Set theory; Time measurement;
         
        
        
        
            Conference_Titel : 
Data, Privacy, and E-Commerce, 2007. ISDPE 2007. The First International Symposium on
         
        
            Conference_Location : 
Chengdu
         
        
            Print_ISBN : 
978-0-7695-3016-1
         
        
        
            DOI : 
10.1109/ISDPE.2007.83