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This book constitutes the revised selected papers of the 11th International Workshop on Information Search, Integration and Personalization, ISIP 2016, held in Lyon, France, in November 2016. The 8 revised full papers presented were carefully reviewed and selected from 13 papers submitted to these post-conference proceedings from 30 conference presentations. The papers are organized in topical sections on exploratory analysis, mobility data analysis, and management of large data graphs.
This book constitutes the revised selected papers of the 11th International Workshop on Information Search, Integration and Personalization, ISIP 2016, held in Lyon, France, in November 2016. The 8 revised full papers presented were carefully reviewed and selected from 13 papers submitted to these post-conference proceedings from 30 conference presentations. The papers are organized in topical sections on exploratory analysis, mobility data analysis, and management of large data graphs.
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Inhaltsangabe
Towards User-Aware Rule Discovery.- Discovering Injective Mapping between Relations in Astrophysics Databases.- Design of Distributed Calculation Scheme using Network Address.- Translation for Ad-hoc Wireless Positioning Network.- Latent Variable Model for Weather-Aware Traffic State Analysis.- Estimating Road Surface Conditions using Crowdsourcing.- Network-based pedestrian tracking system with densely placed wireless access points.- Semantic Partitioning for RDF Datasets.- Personal Networks of Scientific Collaborators: a large scale experimental analysis of their evolution.
Towards User-Aware Rule Discovery.- Discovering Injective Mapping between Relations in Astrophysics Databases.- Design of Distributed Calculation Scheme using Network Address.- Translation for Ad-hoc Wireless Positioning Network.- Latent Variable Model for Weather-Aware Traffic State Analysis.- Estimating Road Surface Conditions using Crowdsourcing.- Network-based pedestrian tracking system with densely placed wireless access points.- Semantic Partitioning for RDF Datasets.- Personal Networks of Scientific Collaborators: a large scale experimental analysis of their evolution.
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