Web structure mining has been a well-researched area during recent years. Based on the observation that data on the web may change at any time in any way, some incremental data mining algorithms have been proposed to update the mining results with the corresponding changes. However, none of the existing web structure mining techniques is able to extract useful and hidden knowledge from the sequ...

Web structure mining has been a well-researched area during recent years. However, we observed that data on the web is changing at any time in any way, even though there are some incremental data mining algorithms that are proposed to update the mining results with the corresponding changes, none of the existing web structure mining techniques is able to extract useful and hidden knowledge from...

Web Page Noise Cleaning is one of the new research area of study for removing the noise patterns of web pages for effective web mining. The World Wide Web contains large amount of web pages which are accessible by users. With conventional data or text, Web pages generally contain a large amount of noise information that is not part of the main contents of the web pages, e.g., advertisement bann...

Biological data mining has become an important research area in recent years due to the exponential increase in the amount of biological data. In this paper, we discuss the applications of data mining methods in biological sequences analysis. The algorithms we analyze fall into support vector machine type Key-Words: Data mining, biology, vector machine, biological sequences.

In meeting the challenges that resulted from the explosion of collected, stored, and transferred data,Knowledge Discovery in Databases or Data Mining has emerged as a new research area. However, the approaches studied in this area have mainly been oriented towards highly structured and precise data. In addition, the goal to obtain understandable results is often neglected. Therefore we suggest ...

An important issue of data mining is how to transfer data into information, the information into action, and the action into value or profit. This paper presents a study on applying sensitivity analysis to neural network models for a particular area in data mining, interesting mining and profit mining. Applying sensitivity analysis to neural network models rather than just regression models can...

Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. One of them is to use frequent pattern discovery methods in Web log data. Discovering hidden information from Web log data is called Web usage mining. The aim of discovering frequent patterns in Web log data is to obtain information about the navigational behavior of the users. This...

The visual senses for humans have a unique status, offering a very broadband channel for information flow. Visual approaches to analysis and mining attempt to take advantage of our abilities to perceive pattern and structure in visual form and to make sense of, or interpret, what we see. Visual Data Mining techniques have proven to be of high value in exploratory data analysis and they also hav...

Gold mining has played an important role in Ghana's economy, however the negative environmental and socio-economic effects on the host communities associated with gold mining have overshadowed these economic gains. It is within this context that this paper assessed in an integrated manner the environmental and socio-economic impacts of artisanal gold mining in the Tarkwa Nsuaem Municipality fro...