Titlebook: Agents and Data Mining Interaction; 10th International W Longbing Cao,Yifeng Zeng,Philip S. Yu Conference proceedings 2015 Springer Interna

BRAWL

Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Cross agent-based architecture supporting implementation of interaction-intensive agent collaboration in two variants of target decision making procedure that are content-based and collaborative filtering both exploiting semantic similarity measures.

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Corporeal

bourgeois

Data Mining Process Optimization in Computational Multi-agent Systems,ith respect to two criteria — error-rate and model learning time, which are partially complementary. The results of the consistent search algorithm on a number of classification data-sets are shown and the advantage of automated preprocessing augmentation of method recommendation is demonstrated.

盲信者

thwart

0302-9743 shop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems..The 11 papers presented were carefully reviewed and selected from numerous submissions for in

STANT

Conference proceedings 2015, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems..The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present curren

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https://doi.org/10.1007/978-3-030-28412-1rast to the multi-agent simulation, numerical modeling can predict the propagation in multiplex networks by a slight margin. Moreover, we show that the two aspects of temporal dynamics can dramatically vary the influence of multiple layers on information spreading in multiplex networks.

可憎

Culture in World Politics: an Introduction,ic is pairwise, we also propose an adapted SVM which can handle this. The experiment result shows the proposed method outperforms the traditional SVM and other popular classification methods on various public data sets.

GROUP

Modeling Temporal Propagation Dynamics in Multiplex Networks,rast to the multi-agent simulation, numerical modeling can predict the propagation in multiplex networks by a slight margin. Moreover, we show that the two aspects of temporal dynamics can dramatically vary the influence of multiple layers on information spreading in multiplex networks.