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ScienceDirect Publication: Data & Knowledge Engineering
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Editorial Board Publication year: 2012 Source: Data & Knowledge Engineering, Volume 73, March 2012, Pages IFC [No author name available] Erratum to ?Adaptive optimization for multiple continuous queries? [Data Knowl. Eng. 71 (2012) 29?46] Publication year: 2012 Source: Data & Knowledge Engineering, Available online 18 January 2012 Hong Kyu Park, Won Suk Lee Editorial Board Publication year: 2012 Source: Data & Knowledge Engineering, Volume 72, February 2012, Pages IFC [No author name available] An ontology-based approach for constructing Bayesian networks Publication year: 2011 Source: Data & Knowledge Engineering, Available online 22 December 2011 Stefan Fenz Bayesian networks are commonly used for determining the probability of events that are influenced by various variables. Bayesian probabilities encode degrees of belief about certain events, and a dynamic knowledge body is used to strengthen, update, or weaken these assumptions. The creation of Bayesian networks requires at least three challenging tasks: (i) the determination of relevant variables (nodes), (ii) the determination of relationships between the identified variables (links), and (iii) the calculation of the conditional probability tables (CPTs) for each node in the Bayesian network. Based on existing domain ontologies, we propose a method for the ontology-based construction of Bayesian networks. The method supports (i) the construction ofthe graphical Bayesian network structure (nodes and links), (ii) the construction of CPTs that preserve semantic constraints of the ontology, and (iii) the incorporation of already existing knowledge facts (findings). The developed method enables theefficient construction and modification of Bayesian networks based on existing ontologies. Discovering better navigation sequences for the session construction problem Publication year: 2011 Source: Data & Knowledge Engineering, Available online 2 December 2011 Murat Ali Bayir, Ismail Hakki Toroslu, Murat Demirbas, Ahmet Cosar In this paper, we propose a novel page view based session model and session construction method to address the Web Usage Mining (WUM) problem. Unlike the simple session models, where sessions are sequences of web pages requested from the server (or served from a browser/proxy cache) and viewed in the browser (which may not guarantee a direct relationship between subsequent web pages in the session), we define a more realistic session model in which a session is a set of paths traversed in the web graph that corresponds to a user navigation performed by following links on web pages. We define the session construction process from raw server logs as a new graph problem and present a novel algorithm, Smart-SRA (Smart Session Reconstruction Algorithm), to solve this problem efficiently. An experimental evaluation based on data collected from real web access scenarios showed that Smart-SRA produces more accurate user sessions than the session construction methods found in the literature.