Collaborative Data Mining for Intelligent Home Appliances

Abstract : The augmentation of physical devices and resources with electronics, software, sensing elements and network connectivity is a “hot topic” as confirmed also by the several research projects and activities on internet-of-things (IoT) and cyber-physical systems (CPS) research streams. It is obvious that intelligent products are taking more responsibility in future collaborative networks. Recent products are becoming more and more intelligent and connected by using the existing network infrastructure, meaning that products are becoming active agents in networks and valuable data sources that are capable to provide data continuously during their operation. This is leading to a massive amount of data that can be used by product manufacturers to be and remain competitive in market sharing. In this scenario, the application of collaborative data mining techniques, supported by machine learning algorithms, is aimed to enable the analysis of the data provided from multiple and above all distributed data sources in order to discover and extract useful knowledge about the behavior of the users along with the usage patterns of their devices and appliances.
Type de document :
Communication dans un congrès
17th Working Conference on Virtual Enterprises (PRO-VE), Oct 2016, Porto, Portugal. IFIP Advances in Information and Communication Technology, AICT-480, pp.313-323, 2016, Collaboration in a Hyperconnected World. 〈10.1007/978-3-319-45390-3_27〉
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01614574
Contributeur : Hal Ifip <>
Soumis le : mercredi 11 octobre 2017 - 10:39:52
Dernière modification le : mercredi 11 octobre 2017 - 10:46:17
Document(s) archivé(s) le : vendredi 12 janvier 2018 - 13:30:53

Fichier

 Accès restreint
Fichier visible le : 2019-01-01

Connectez-vous pour demander l'accès au fichier

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Oliviu Matei, Giovanni Orio, Javad Jassbi, José Barata, Claudio Cenedese. Collaborative Data Mining for Intelligent Home Appliances. 17th Working Conference on Virtual Enterprises (PRO-VE), Oct 2016, Porto, Portugal. IFIP Advances in Information and Communication Technology, AICT-480, pp.313-323, 2016, Collaboration in a Hyperconnected World. 〈10.1007/978-3-319-45390-3_27〉. 〈hal-01614574〉

Partager

Métriques

Consultations de la notice

72