Agents and Data Mining Interaction: 10th International by Longbing Cao

By Longbing Cao

This e-book constitutes the completely refereed and revised chosen papers from the tenth foreign Workshop on brokers and information Mining Interactions, ADMI 2014, held in Paris, France, in may perhaps 2014 as satellite tv for pc workshop of AAMAS 2014, the thirteenth overseas convention on independent brokers and Multiagent Systems.

The eleven papers offered have been conscientiously reviewed and chosen from quite a few submissions for inclusion during this quantity. They current present examine and engineering effects, in addition to capability demanding situations and customers encountered within the respective groups and the coupling among brokers and knowledge mining.

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Extra info for Agents and Data Mining Interaction: 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers (Lecture Notes in Computer Science)

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The first aspect is particular in multiplex networks and we name it as the cross-layer delay. Comparing to the propagation in simplex network, a noticeable characteristic of diffusion in multiplex networks is the information transferring among multiple layers [8]. For instance, a person can upload topics in his or her daily life communication to Facebook or talk about a new fashion which is prevalent in online social networks with acquaintances. In the real life, most messages cannot be simultaneously disseminated by the identical person in diverse social c Springer International Publishing Switzerland 2015 L.

1007/978-3-319-20230-3 4 Mining Movement Patterns from Video Data to Inform 39 One mechanism whereby this can be achieved is simply to “handcraft” agent behaviour [2,3], however this is time consuming and error prone. An alternative approach, and that espoused in this paper, is to use data mining (machine learning) techniques so that MABS agent behaviour can be learnt. The suggestion is that this provides a much more realistic encoding than that typically achieved when agent behaviour is handcrafted.

Recently, intra-layer delay has been considered in modeling diffusion process [13], influence maximization [15]) and data mining [16] mostly in simplex network. In this paper, we aim to model the temporal propagation dynamics in multiplex networks, which involves agents and modeling, is directly relevant to the research on agent mining [11]. The independent cascade model [5] is extended to capture the cross-layers delay and intra-layer delay of propagation in multiplex networks. At the mean field level, propagation process in multiplex networks is approximately modeled by a series of numerical equations.

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