نتایج جستجو برای: similarity measurement web mining
تعداد نتایج: 829535 فیلتر نتایج به سال:
Measuring semantic similarity between concepts is an important problem in web mining and text mining which needs semantic content matching. Semantic similarity has attracted great concern for a long time in artificial intelligence, psychology and cognitive science. Many measures have been proposed. The paper contains a review of the state of art measures including path based measures, informati...
In this paper, we present AntClust, an ant based clustering algorithm and its application to the Web usage mining problem. We define a Web session as a weighted multi-modal vector and we also develop a similarity measure between two sessions. We show that the partitions found by AntClust are stable on a data set made of real sessions extracted from a Web site of the University of Tours. Contrar...
The behavior of visitors browsing in a web site offers a lot of information about their requirements and the way they use the respective site. Analyzing such behavior can provide the necessary information in order to improve the web site’s structure. The literature contains already several suggestions on how to characterize web site usage and to identify the respective visitor requirements base...
The World Wide Web (WWW) is the largest distributed information space and has grown to encompass diverse information resources. Although the web is growing exponentially, the individual’s capacity to read and digest content is essentially fixed. The full economic potential of the web will not be realized unless enabling technologies are provided to facilitate access to web resources. Currently ...
Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...
Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important step...
To engage users of a website at an early stage of surfing, a novel web access recommendation system is essential. In this paper, a new web usage mining approach is proposed to predict next page access. It is proposed to identify similar access patterns from web log using pair-wise nearest neighbor based clustering and then sequential pattern mining is done on these patterns to determine next pa...
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...
Web mining data mining for web data is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining involves analyzing the behavior of users, finding patterns of user behavior, and predicting their subsequent behaviors or interests. Web behavior mining is used in web advertising systems or content recommendation systems. To ...
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