In this work, we present a framework for the semantic composition of web services based on Statecharts and uniform community service descriptions. Our model is a two step process....
In this paper, we present a model to obtain and analyze user profiles after a process of web usage mining where log files are processed. The web log files register the activity of...
Marketing databases are currently one of the most important resources in any marketing departments. Regarding their customer knowledge needs many of them had develop their own dat...
The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
We present how to efficiently mine a set of directed acyclic graphs (DAGs) for unconnected, both multi- or single-rooted, and induced fragments. With a new canonical form that is ...
S Stemming is a fundamental step in processing textual data preceding the tasks of information retrieval, text mining, and natural language processing. The common goal of stemming ...
This paper takes an overview of the web mining concept and how it can be useful and beneficial to the business improvement by facilitating its applications in various areas over t...
After an oil spill it is essential to know if an area is going to be affected by the oil slicks generated. The system presented here forecasts the presence or not of oil slicks in...
Juan M. Corchado, Aitor Mata, Juan Francisco de Pa...
We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the...
Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...