Title :
Web Data Mining research: A survey
Author :
Singh, Brijendra ; Singh, Hemant Kumar
Author_Institution :
Dept. of Comput. Sci., Univ. of Lucknow, Lucknow, India
Abstract :
Web Data Mining is an important area of Data Mining which deals with the extraction of interesting knowledge from the World Wide Web, It can be classified into three different types i.e. web content mining, web structure mining and web usages mining. The aim of this paper is to provide past, current evaluation and update in each of the three different types of web mining i.e. web content mining, web structure mining and web usages mining and also outlines key future research directions. This paper also reports the comparisons and summary of various methods of web data mining with applications, which gives the overview of development in research and some important research issues.
Keywords :
Internet; data mining; knowledge acquisition; Web data mining; World Wide Web; knowledge extraction; web content mining; web structure mining; web usages mining; Web mining; semantic web; web content mining; web structure mining; web usage mining;
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5965-0
Electronic_ISBN :
978-1-4244-5967-4
DOI :
10.1109/ICCIC.2010.5705856