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Titlebook: Knowledge-Based Information Retrieval and Filtering from the Web; Witold Abramowicz Book 2003 Springer Science+Business Media New York 200

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發(fā)表于 2025-3-21 16:29:35 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Knowledge-Based Information Retrieval and Filtering from the Web
編輯Witold Abramowicz
視頻videohttp://file.papertrans.cn/545/544198/544198.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Knowledge-Based Information Retrieval and Filtering from the Web;  Witold Abramowicz Book 2003 Springer Science+Business Media New York 200
描述.Knowledge-Based Information Retrieval and Filtering from the Web. contains fifteen chapters, contributed by leading international researchers, addressing the matter of information retrieval, filtering and management of the information on the Internet. The research presented deals with the need to find proper solutions for the description of the information found on the Internet, the description of the information consumers need, the algorithms for retrieving documents (and indirectly, the information embedded in them), and the presentation of the information found. The chapters include: .-Ontological representation of knowledge on the WWW; .-Information extraction; .-Information retrieval and administration of distributed documents; .-Hard and soft modeling based knowledge capture; .-Summarization of texts found on the WWW; .-User profiles and personalization for web-based information retrieval system; .-Information retrieval under constricted bandwidth; .-Multilingual WWW; .-Generic hierarchical classification using the single-link clustering; .-Clustering of documents on the basis of text fuzzy similarity; .-Intelligent agents for document categorization and adaptive filtering;
出版日期Book 2003
關(guān)鍵詞DOM; E-Business; E-Commerce; Internet; WWW; algorithms; classification; data mining; decision support system
版次1
doihttps://doi.org/10.1007/978-1-4757-3739-4
isbn_softcover978-1-4419-5376-6
isbn_ebook978-1-4757-3739-4Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 2003
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Hard and Soft Modelling Based Knowledge Capture for Information Flow Management life context are formed by agents consisting of people, machines, robots, etc. Models in management science are designed and applied to describe, understand, and finally support processes and activities that are primarily intellectual. The problems attacked by these models may arise so frequently t
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Generic Hierarchical Classification Using the Single-Link Clustering classification of a given dataset in regard to various aspects is generally not addressed. In this chapter, a multi-facet hierarchical classification technique based on the single-link clustering is proposed. First, the single-link clustering is formally presented. Then, the concepts underlying the
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