With the unstable development of the data accessible on the Internet, WWW has turned into the most capable stage to store, recover, and communicate data. The same number of individuals have taken to the Internet for data gathering, examining client conduct from web get to the logs can
be useful to make versatile framework, recommender framework, and clever online business applications. We get to log records are the documents that contain data about the connection amongst clients and the sites with the utilization of the Internet. It contains many points of interest as authentication
of users, Address related to IP, time of visit, accessing, data transferred, status setting of result, URL and so on. To analyze web log data for prediction of consumer behavior, various free and paid tools is available online. By studying and comparing various analyzer, a website owner can
select the best tool for prediction of consumer behavior. This paper gives a neat report between celebrated log analyzer instruments in light of their highlights and execution.
Sub-Sampling Framework Comparison for Low-Power Data Gathering: A Comparative Analysis
