Financial institutions are always interested in ensuring security and quality for their customers. Banks, for instance, need to identify and avoid harmful transactions. In order to detect fraudulent operations, data mining techniques based on customer profile generation and verification are commonly used. However, these approaches are not supported by Visual Analytics techniques yet. We propose...

This paper has attempted to provide an up-to-date survey of the rapidly growing area of Web usage mining, which is the demand of current technology. In this paper, we present an overview of the various research areas in Web data mining and then focus on the Web usage mining tools and techniques. Web mining continues to remain as a potential research area in the present scenario. In this context...

Text mining is the process of discovering information in large text collections, and automatically identifying interesting patterns and relationships in textual data. It is a relatively new research area, which has recently raised much interest among the research and industry communities, mainly due to the continuously increasing amount of information available on the Web and elsewhere. Text mi...

Data uncertainty is often found in real-world applications due to reasons such as imprecise measurement, outdated sources, or sampling errors. Recently, much research has been published in the area of managing data uncertainty in databases. We propose that when data mining is performed on uncertain data, data uncertainty has to be considered in order to obtain high quality data mining results. ...

Dept. Of Comp. Sci. & Eng. Vaagdevi college of Eng. Warangal, India [email protected] Abstract Frequent pattern mining is an important area of data mining used to generate the Association Rules. The extracted Frequent Patterns quality is a big concern, as it generates huge sets of rules and many of them are redundant. Mining Non-Redundant Frequent patterns is a big concern in the area of Ass...

In the present study, 45 rainwater samples were collected from February to December 2012 on event basis in East Bokaro coal mining environment. Physico-chemical and major ionic compositions of rainwater samples as well as water soluble major ion composition were analyzed to employ principle component analysis for source identification. The average pH value was recorded 6.1 and varied from 5.1 t...

In the present study, 45 rainwater samples were collected from February to December 2012 on event basis in East Bokaro coal mining environment. Physico-chemical and major ionic compositions of rainwater samples as well as water soluble major ion composition were analyzed to employ principle component analysis for source identification. The average pH value was recorded 6.1 and varied from 5.1 t...

Mining data logged by intelligent tutoring systems has the potential to reveal valuable discoveries. What characteristics make such data conducive to mining? What variables are informative to compute? Based on our experience in mining data from Project LISTEN’s Reading Tutor, we discuss how to collect machineanalyzable data and formulate it into experimental trials. The resulting concepts and t...