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» Extracting Web Data Using Instance-Based Learning
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ICDM
2010
IEEE
267views Data Mining» more  ICDM 2010»
13 years 8 months ago
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more u...
Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 10 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
NECO
2002
104views more  NECO 2002»
13 years 9 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
EKAW
2010
Springer
13 years 8 months ago
RDFauthor: Employing RDFa for Collaborative Knowledge Engineering
Abstract. In this paper we present RDFauthor, an approach for authoring information that adheres to the RDF data model. RDFauthor completely hides syntax as well as RDF and ontolog...
Sebastian Tramp, Norman Heino, Sören Auer, Ph...
ADAPTIVE
2007
Springer
14 years 4 months ago
Semantic Web Technologies for the Adaptive Web
Ontologies and reasoning are the key terms brought into focus by the semantic web community. Formal representation of ontologies in a common data model on the web can be taken as a...
Peter Dolog, Wolfgang Nejdl