A Tool for Web Usage Mining
نویسندگان
چکیده
This paper presents a tool for web usage mining. The aim is centered on providing a tool that facilitates the mining process rather than implement elaborated algorithms and techniques. The tool covers different phases of the CRISP-DM methodology as data preparation, data selection, modeling and evaluation. The algorithms used in the modeling phase are those implemented in the Weka project. The tool has been tested in a web site to find access and navigation patterns.
منابع مشابه
Use of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
متن کاملExpert Discovery: A web mining approach
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of a specific subject in a particular domain within peculiar array of parameters?” Expert with domain knowledge in any field is crucial for consulting in industry, academia and scientific community. Aim of this study is to address the issues for expert-finding task in real-world community. Collabor...
متن کاملApplying Web Usage Mining to an Educational Digital Library Service
This case study in educational data mining (EDM) describes the motivation, methods, results, and best practices used while studying the usage data from users of a web-based tool, the Instructional Architect (IA.usu.edu). Our focus is twofold: (a) to highlight lessons learned for those new to data mining and (b) to introduce the analysis techniques of latent class modeling as an analysis tool. T...
متن کاملComparison Analysis of Web Usage Mining Using Pattern Recognition Techniques
Web usage mining is the application of data mining techniques to better serve the needs of web-based applications on the web site. In this paper, we analyze the web usage mining by applying the pattern recognition techniques on web log data. Pattern recognition is defined as the act of taking in raw data and making an action based on the ‘category’ of the pattern. Web usage mining is divided in...
متن کاملS2WC2, a User Centric Web Usage Mining icwit_09
Unlike many works in Web Usage Mining, which took as object of study logs recorded by Web servers; we develop in this paper a different approach, qualified as usercentric, judged more accurate and effective. To do so, we develop first a client side tool, in order to collect the user navigation traces. Based on Browser Helper Object, this tool has several advantages as the lightness, the simple ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007