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Titlebook: Advances in Web Intelligence and Data Mining; Mark Last,Piotr S. Szczepaniak,Abraham Kandel Book 2006 Springer-Verlag Berlin Heidelberg 20

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期刊全称Advances in Web Intelligence and Data Mining
影响因子2023Mark Last,Piotr S. Szczepaniak,Abraham Kandel
视频video
发行地址Recent advances in algorithmic techniques in data mining
学科分类Studies in Computational Intelligence
图书封面Titlebook: Advances in Web Intelligence and Data Mining;  Mark Last,Piotr S. Szczepaniak,Abraham Kandel Book 2006 Springer-Verlag Berlin Heidelberg 20
影响因子Today, in the middle of the ?rst decade of the 21st century, the Internet has become a major communication medium, where virtually any kind of content can be transferred instantly and reliably between individual users and entire - ganizations located in any part of the globe. The World Wide Web (WWW) has a tremendous e?ect on our daily activities at work and at home. Consequently, more e?ective and e?cient methods and technologies are needed to make the most of the Web’s nearly unlimited potential. The new Web-related research directions include intelligent methods usually associated with the ?elds of c- putational intelligence, soft computing, and data mining. AWIC, the “Atlantic Web Intelligence Conferences” continue to be a forum for exchange of new ideas and novel practical solutions in this new and exciting area. The conference was born as an initiative of the WIC-Poland and the WIC- Spain Research Centers, both belonging to the Web Intelligence Consortium – WIC (http://wi-consortium.org/). Prior to this year, three AWIC conferences have been held: in Madrid, Spain (2003), in Cancun, Mexico (2004), and in L´ od´ z, Poland (2005). AWIC 2006 took place in Beer-Sheva, Israel duri
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Studies in Computational Intelligencehttp://image.papertrans.cn/a/image/150171.jpg
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https://doi.org/10.1007/978-3-662-55612-2tiple Web sites. This problem is further exacerbated by various presentation templates that different Web sites use in presenting their product information, and different ways of product information they store in their catalogs. This paper describes the DataRover system, which can automatically craw
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https://doi.org/10.1007/978-3-662-55612-2o problems: high computational complexity with respect to the number of nodes of the target document and to the arity of the extracted tuples. In this note we address the first problem by proposing an efficient path generalization algorithm for learning rules to extract single information items. The
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https://doi.org/10.1007/978-3-662-55612-2 not only the data object but also its attributes needed to perform appropriate network or presentation related functions such as caching, content reuse, and content adaptation. With this model, four types of content consistency are defined. To get a deeper insight on the current situation of conten
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https://doi.org/10.1007/978-3-662-55612-2 The process of giving formal meaning to Web resources is commonly known in the state of the art as semantic annotation. In this paper we describe an approach to integrate the semantic annotation task with the information retrieval task. This approach makes use of relevance feedback techniques and e
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