DocumentCode :
3729390
Title :
A review study of server log formats for efficient web mining
Author :
Pratibha Sharma;Surendra Yadav;Brahmdutt Bohra
Author_Institution :
Computer Science, Maharishi Arvind College of Engg. and Research Center, Jaipur, India
fYear :
2015
Firstpage :
1373
Lastpage :
1377
Abstract :
Now-a-days WWW is the most basic need in the globalized world. It consist the vast data of various fields around the globe. The web has incredible amount of information, which supplies a large, explosive, diverse, dynamic and mostly unstructured data stores. The combination of these web stores are known as the data warehouse and the process of retrieving the data from these warehouses is data mining. In this paper, we will discuss the classification of web data and its categorization. Here the awareness about the log files of web server is also provided along with its types. Server log files are basically the ASCII text files which contain the log record of users.
Keywords :
"Videos","Insects","Algorithm design and analysis","Web mining","Information retrieval"
Publisher :
ieee
Conference_Titel :
Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICGCIoT.2015.7380681
Filename :
7380681
Link To Document :
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