Data Mining in Web Applications
Julio Ponce, Alberto Hernndez, Alberto Ochoa, Felipe Padilla, Alejandro Padilla, Francisco lvarez, Eunice Ponce de Le · 2009
The quickly grown of the Web has done that it is a great information source in many areas, which can be used to obtain important data in different areas like social, psychological, marketing, among others. As one saw from point psychological are possible to be studied some behaviors and found certain landlords with the help of Data Mining, also it is possible to determine future behaviors on the basis of certain antecedents as one is in the application on the basis of social networks information like Orkut. On the other hand it can predict certain preferences by some product or service; this could be observed through the Web Radio application. The Web Data Mining can help us to understand more some things and provide a base for the decision make. In the Web one can find a great amount of information sources, the unique thing that there is to think is those that are wanted to obtain. In this case our applications analyzed were Social Networks, Web radio, Security and Internet frauds. In this work to show a conceptual model to develop systematically web radio applications taking into account social acceptability factor using the social data mining and cultural algorithms. With the matching information about the users (listener profiles) with the knowledge building for a society based on cultural algorithms (content metadata), it could be possible to automatically generate more pertinent playlists for individual listeners. Then, it is feasible that a web radio purpose could interpret the human behaviour under certain situations to which it is exposed, this by means of the behaviour that will have the users when interacting with the Web Radio. This is only one part of everything what it is possible to be done with the aid of the Social Data Mining. With the creation of the web radio one hopes that one undertakes new projects that are developed with the aid of the Social Data Mining and cultural algorithms. Nevertheless there are a lot of research work that will be doing with Data Mining for Web applications and some future works that can be: In the area of social networks it is the search of criminal networks in the diverse social networks like Orkut, MySpace, Badoo, Hi5, etc. these criminal networks are possible to be dedicated to the kidnapping, traffic of bodies, drug traffic, among others activities. Another application is to make an analysis of these networks to obtain information that can be used to offer products and services in specific sectors, an example of this is the Web radio, but it is possible to be analyzed another types of services with the security that these are going well to be received by a certain Web user group. In the Internet area fraud we want to improve human-computer interface and assessment methodology by including student’s comments and users feedback. We want to test the tool with different groups at different high schools and Universities. Regarding biometric recognition, we want to improve facial recognition, due at this point of our research we can