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Titlebook: Semantics, Web and Mining; Joint International Markus Ackermann,Bettina Berendt,Maarten Someren Conference proceedings 2006 Springer-Verla

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樓主: Coarse
21#
發(fā)表于 2025-3-25 03:34:28 | 只看該作者
Semi-automatic Creation and Maintenance of Web Resources with webTopiceeping them up-to-date over time, according to user specific persistent information needs. The documents collected are organized according to user specifications and are classified partly by the user and partly automatically. A presentation layer enables the exploration of large sets of documents an
22#
發(fā)表于 2025-3-25 10:11:14 | 只看該作者
23#
發(fā)表于 2025-3-25 12:13:27 | 只看該作者
24#
發(fā)表于 2025-3-25 18:35:23 | 只看該作者
Evaluation of Ontology Enhancement Toolst is a long-term interactive process, so it is important to evaluate the contribution of a mining tool at an early phase of this process so that only appropriate tools are used in later phases. We propose a method for the evaluation of such tools on their impact on ontology enhancement. We model imp
25#
發(fā)表于 2025-3-25 23:10:48 | 只看該作者
Introducing Semantics in Web Personalization: The Role of Ontologiesperformed by the provision of recommendations to the users, high-lighting/adding links, creation of index pages, etc. The web personalization systems are mainly based on the exploitation of the navigational patterns of the web site’s visitors. When a personalization system relies solely on usage-bas
26#
發(fā)表于 2025-3-26 03:29:08 | 只看該作者
Ontology-Enhanced Association Miningsk setting to mining result interpretation and sharing over the semantic web. The underlying KDD paradigm is association mining tailored to our . tool. Experience from two different application domains—medicine and sociology—is presented throughout the paper. Envisaged software support for prior kno
27#
發(fā)表于 2025-3-26 07:42:31 | 只看該作者
28#
發(fā)表于 2025-3-26 11:36:02 | 只看該作者
29#
發(fā)表于 2025-3-26 15:51:02 | 只看該作者
Ontology-Enhanced Association Mining. Experience from two different application domains—medicine and sociology—is presented throughout the paper. Envisaged software support for prior knowledge exploitation via customisation of an existing user-oriented KDD tool is also discussed.
30#
發(fā)表于 2025-3-26 16:51:55 | 只看該作者
A Website Mining Model Centered on User Queriess on global search engines that lead to documents in the website. These queries provide useful information about topics that interest users visiting the website and the navigation patterns associated to these queries indicate whether or not the documents in the site satisfied the user’s needs at that moment.
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