A Model for Web Mining Applications – Conceptual Model, Architecture, Implementation and Use Cases
نویسندگان
چکیده
Web mining is a computation intensive task even after the mining tool itself has been developed. However, most mining software is developed ad-hoc and usually is not scalable nor reused for other mining tasks. This paper presents a Web mining model and implementation, referred to as WIM – Web Information Mining –, where rapid prototyping is possible. The underlying conceptual model of WIM provides its users with a level of abstraction appropriate for prototyping and experimentation throughout the Web data mining task. Abstracting from the idiosyncrasies of raw Web data representations facilities the inherently iterative mining process. This paper details this conceptual model, together with its associated algebra, the architecture of the WIM tool, and its implementation. It also demonstrates how the model has been applied in several real Web data mining tasks. Resulting from this experimentation, WIM has proved to significantly facilitate Web mining prototyping.
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