Information explosion in World Wide Web has increased the interest in Web usage mining techniques in both commercial and academic areas. Study of interested web users; provide valuable information for web designers to quickly respond to their individual needs and for the efficient organization of the website. Among the several approaches like Association rule mining, classification, clustering,...

Web usage Mining is an area of web mining which deals with the extraction of interesting knowledge from logging information produced by web server. Different data mining techniques can be applied on web usage data to extract user access patterns and this knowledge can be used in variety of applications such as system improvement, web site modification, business intelligence etc. Web usage minin...

WWW is one of the most valuable resources of information retrievals and knowledge discoveries and it supports Online teaching learning process. We can use this resource to upload information about particular subject (under course) and can find popularity of such information. We can extract knowledge from this resource by many mining techniques to improve the performance of this information. In ...

Data mining is an iterative progress in which evolution is defined by detection, through usual or manual methods. The discovered knowledge can be used for different applications for example healthcare industry. The heart disease accounts to be the leading cause of death worldwide. It is difficult for medical practitioners to predict the heart attack as it is complex task that requires experienc...

Voluminous geographic data have been, and continue to be, collected with modern data acquisition techniques such as global positioning systems (GPS), high-resolution remote sensing, location-aware services and surveys, and internet-based volunteered geographic information. There is an urgent need for effective and efficient methods to extract unknown and unexpected information from spatial data...

Mining information and knowledge from large databases has been recognized by many researchers as a key research topic in database systems and machine learning, and by many industrial companies as an important area with an opportunity of major revenues. Researchers in many di erent elds have shown great interest in data mining. Several emerging applications in information providing services, suc...

In the last decade, mining textual content on social networks to extract relevant data and useful knowledge is becoming an omnipresent task. One common application of text mining is Event Extraction, which is considered as a complex task divided into multiple sub-tasks of varying di culty. In this paper, we present a survey of the main existing text mining techniques which are used for many di ...