Title : 
Genetic algorithms: An inevitable solution for query optimization in web mining — A review
         
        
            Author : 
Melita, L. ; Ganapathy, Gopinath ; Hailemariam, Sebsibe
         
        
            Author_Institution : 
Dept. of Comput. Sci., Jimma Univ., Jimma, Ethiopia
         
        
        
        
        
        
            Abstract : 
Despite the wide range of applications in different areas, the world-urging factors like Internet Search Speed or the rate of data retrieval, has found its wherewithal from the concept of Evolutionary Algorithms. Due to the suitability of the nature of the algorithms, query optimization for web mining, has been implemented in terms of Genetic Algorithms. This paper shall review upon the characteristics of Genetic Algorithms, suitability to web search optimization, their impact on implementation aspects, challenges, success rate and suggested enhancements in further research.
         
        
            Keywords : 
Internet; data mining; genetic algorithms; query processing; search engines; Internet search speed; Web mining; Web search optimization; data retrieval; evolutionary algorithms; genetic algorithms; query optimization; Genetic algorithms; Optimization; Search engines; Search problems; Web mining; Web search; Genetic Algorithms; Query Optimization; Web Mining; Web Search;
         
        
        
        
            Conference_Titel : 
Computer Science & Education (ICCSE), 2012 7th International Conference on
         
        
            Conference_Location : 
Melbourne, VIC
         
        
            Print_ISBN : 
978-1-4673-0241-8
         
        
        
            DOI : 
10.1109/ICCSE.2012.6295033