A clustering-based building information modeling (BIM) log mining method is developed in
this research to provide a data-driven knowledge discovery about the design productivity …

Recent advances in network traffic capturing techniques have made it feasible to record full
traffic traces, often for extended periods of time. Among the applications enabled by full …

Performing detailed forensic analysis of real-world web security incidents targeting users,
such as social engineering and phishing attacks, is a notoriously challenging and time …

Now a day World Wide Web become very popular and interactive for transferring of
information. The web is huge, diverse and active and thus increases the scalability …

Today internet has made the life of human dependent on it. Almost everything and anything
can be searched on net. Web pages usually contain huge amount of information that may …

Clustering data from web user sessions is extensively applied to extract customer usage
behavior to serve customized content to individual users. Due to the human involvement …

Websites on the internet are useful source of information in our day-to-day activity. Web
Usage Mining (WUM) is one of the major applications of data mining, artificial intelligence …

World Wide Web is an enormous store of links and web pages. It provides huge amount of
information for the Internet clients. The development of web is great as about one million …

Information overload is a significant issue of explosive growth of information on the web. The
users are facing numerous problems to select and purchase interesting products online …

Several data mining techniques applied in Web usage mining applications for discovering
user access pattern from web log data. To understand and provide better services it will …