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Titlebook: Web Mining Applications in E-Commerce and E-Services; I-Hsien Ting,Hui-Ju Wu Book 2009 Springer-Verlag Berlin Heidelberg 2009 E-Commerce.S

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发表于 2025-3-21 17:04:25 | 显示全部楼层 |阅读模式
书目名称Web Mining Applications in E-Commerce and E-Services
编辑I-Hsien Ting,Hui-Ju Wu
视频video
概述Latest research on web mining applications in E-commerce and E-services
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Web Mining Applications in E-Commerce and E-Services;  I-Hsien Ting,Hui-Ju Wu Book 2009 Springer-Verlag Berlin Heidelberg 2009 E-Commerce.S
描述Web mining has become a popular area of research, integrating the different research areas of data mining and the World Wide Web. According to the taxonomy of Web mining, there are three sub-fields of Web-mining research: Web usage mining, Web content mining and Web structure mining. These three research fields cover most content and activities on the Web. With the rapid growth of the World Wide Web, Web mining has become a hot topic and is now part of the mainstream of Web - search, such as Web information systems and Web intelligence. Among all of the possible applications in Web research, e-commerce and e-services have been iden- fied as important domains for Web-mining techniques. Web-mining techniques also play an important role in e-commerce and e-services, proving to be useful tools for understanding how e-commerce and e-service Web sites and services are used, e- bling the provision of better services for customers and users. Thus, this book will focus upon Web-mining applications in e-commerce and e-services. Some chapters in this book are extended from the papers that presented in WMEE 2008 (the 2nd International Workshop for E-commerce and E-services). In addition, we al
出版日期Book 2009
关键词E-Commerce; Service-oriented Computing; Web; behavior; computational intelligence; e-services; eServices; n
版次1
doihttps://doi.org/10.1007/978-3-540-88081-3
isbn_softcover978-3-642-09986-1
isbn_ebook978-3-540-88081-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Anticipate Site Browsing to Anticipate the Need,traces are iden tical or not, even when they present some little difference. In this paper we describe the overall characteristics of our similarity function based-approach, and then we present our recommender system based on this function.
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Online Mining of Web Usage Data: An Overview,ining techniques. This chapter provides an introduction to online web usage mining and presents an overview of the latest developments. In addition, it outlines the major, and yet mostly unsolved, challenges in the field.
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Online Mining of Web Usage Data: An Overview,ining techniques. This chapter provides an introduction to online web usage mining and presents an overview of the latest developments. In addition, it outlines the major, and yet mostly unsolved, challenges in the field.
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Semantics-Based Analysis and Navigation of Heterogeneous Text Corpora: The , News and Blogs Engine,ring, semi-automatic ontology learning, a new form of multidimensional nearest-neighbour search and visualisation help users to navigate a multilingual corpus of news and blogs by semantic criteria of their own design.
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Online Mining of Web Usage Data: An Overview,es in line with the insights gained. The application of these techniques is essential in building intelligent, personalised online services. More recently, it has been recognised that the shift from traditional to online services – and so the growing numbers of online customers and the increasing tr
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