LWA 2006 Proceedings
نویسندگان
چکیده
The World Wide Web is an important medium for communication, data transaction and retrieving. Data mining is the process of extracting interesting patterns from a set of data sources. Web mining is the application of data mining techniques to extract useful patterns from web data. Web Mining can be divided into three categories, web usage mining, web content mining, and web structure mining. Web usage mining or web log mining is the extraction of interesting patterns from web log server entries. Those patterns are used to study user behavior and interests, facilitate support and services introduced to the website user, improve the structure of the website, and facilitate personalization and adaptive websites. This paper aims to explore various research issues in web usage mining and its application in the field of adaptive, and personalized websites.
منابع مشابه
LWA 2006 Proceedings
Class binarizations are effective methods that break multi-class problem down into several 2class or binary problems to improve weak learners. This paper analyzes which effects these methods have if we choose a Naive Bayes learner for the base classifier. We consider the known unordered and pairwise class binarizations and propose an alternative approach for a pairwise calculation of a modified...
متن کاملLWA 2006 Proceedings
Current document management systems (DMS) are designed to coordinate the collaborative creation and maintenance process of documents through the provision of a centralized repository. The focus is primarily on managing documents themselves. Relations between and within documents and effects of changes are largely neglected. To avoid inefficiencies, conflicts, and delays the support of modificat...
متن کاملLWA 2006 Proceedings
We preset a network model for context-based retrieval allowing for integrating domain knowledge into document retrieval. Based on the premise that the results provided by a network model employing spreading activation are equivalent to the results of a vector space model, we create a network representation of a document collection for retrieval. We extended this well explored approach by blendi...
متن کاملLWA 2006 Proceedings
Personalization involves the process of gathering user-specific information during interaction with the user, which is then used to deliver appropriate results to the user’s needs. This paper presents a statistical method that learns the user interests by collecting evidence from his search history. The method focuses on the use of both user relevance point of view on familiar words in order to...
متن کاملLWA 2006 Proceedings
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining problem for tree datasets can be solved in incremental polynomial time, it becomes intractable for arbitrary graph databases. Existing approaches have therefore resorted to various heuristic strategies and restrictions of...
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