By Marcin Maleszka, Ngoc Thanh Nguyen (auth.), Piotr Jędrzejowicz, Ngoc Thanh Nguyen, Kiem Hoang (eds.)
The two-volume set LNAI 6922 and LNAI 6923 constitutes the refereed court cases of the 3rd foreign convention on Computational Collective Intelligence, ICCCI 2011, held in Gdynia, Poland, in September 2011.
The 112 papers during this quantity set provided including three keynote speeches have been conscientiously reviewed and chosen from three hundred submissions. The papers are prepared in topical sections on wisdom administration, computing device studying and functions, self reliant and collective decision-making, collective computations and optimization, net companies and semantic internet, social networks and computational swarm intelligence and applications.
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Extra resources for Computational Collective Intelligence. Technologies and Applications: Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011, Proceedings, Part II
However, we follow the IR-oriented (based on F1 measure) Semantically Enhanced Collaborative Filtering Based on RSVD 15 approach to recommendation quality evaluation, rather than performing MAEbased evaluation (used by the author of SECF-Mob). Therefore, in order to verify whether our implementation of the SECF-Mob is appropriately similar to the original one presented in , we analyzed MAE results obtained when using our implementation before evaluating the method from the perspective of the recommendation accuracy measured by means of F1.
Using the notation introduced in Section 3, we have that the integration process meeting the criterion of precision equal to 1 is (for simplicity of notation, we will temporarily assume that there is only one result of the precision based integration): ,…, , and the integration process meeting the criterion of relationship completeness equal to 1 is: ,…, . Theorem 3 , : , , . For some pairs of Complex Trees it is not possible for the result of integration of those trees to have both precision and relationship completeness equal to 1.
A Method for Complex Hierarchical Data Integration. : A Model for XML Schema Integration. , Quirchmayr, G. ) EC-Web 2002. LNCS, vol. 2455, pp. 193–202. : A survey of approaches to automatic schema matching. : A comprehensive database schema integration method based on the theory of formal concepts. : s-Consensus Trees and Indices. : Ontology Transformation: from Requirements to Conceptual Model. Scientific Papers, University of Latvia. Computer Science and Information Technologies, vol. 751, pp.