Data Mining for Monitoring and Managing Systems and Networks
Journal article
Liotta, Antonio and Di Fatta, Giuseppe 2014. Data Mining for Monitoring and Managing Systems and Networks. Journal of Network and Systems Management. https://doi.org/10.1007/s10922-014-9306-8
Authors | Liotta, Antonio and Di Fatta, Giuseppe |
---|---|
Year | 2014 |
Journal | Journal of Network and Systems Management |
Publisher | Springer US |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s10922-014-9306-8 |
Web address (URL) | http://hdl.handle.net/10545/622617 |
hdl:10545/622617 | |
Publication dates | 2014 |
Publication process dates | |
Deposited | 25 Apr 2018, 09:20 |
Permalink -
https://repository.derby.ac.uk/item/9508y/data-mining-for-monitoring-and-managing-systems-and-networks
15
total views0
total downloads1
views this month0
downloads this month
Export as
Related outputs

Mobility Analysis during the 2020 Pandemic in a Touristic city: the Case of Cagliari
Ferrara, Enrico, Uras, Marco, Atzori, Luigi, Bagdasar, Ovidiu and Liotta, Antonio 2021. Mobility Analysis during the 2020 Pandemic in a Touristic city: the Case of Cagliari. IEEE. https://doi.org/10.1109/ieeeconf49204.2021.9604867
Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks
Cavallaro, Lucia, Grassia, Marco, Fiumara, Giacomo, Mangioni, Giuseppe, De Meo, Pasquale, Carchiolo, Vincenza, Bagdasar, Ovidiu and Liotta, Antonio 2022. Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks. in: Complex Networks & Their Applications X Springer.
Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study
Erhan, Laura, Di Mauro, Mario, Anjum, Ashiq, Bagdasar, Ovidiu, Song, Wei and Liotta, Antonio 2021. Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study. Sensors. 21 (23), p. 7774. https://doi.org/10.3390/s21237774
Social network analysis: the use of graph distances to compare artificial and criminal networks
Ficara, Annamaria, Curreri, Francesco, Cavallaro, Lucia, De Meo, Pasquale, Fiumara, Giacomo, Bagdasar, Ovidiu and Liotta, Antonio 2021. Social network analysis: the use of graph distances to compare artificial and criminal networks. Journal of Smart Environments and Green Computing. https://doi.org/10.20517/jsegc.2021.08
Criminal networks analysis in missing data scenarios through graph distances
Ficara, Annamaria, Cavallaro, Lucia, Curreri, Francesco, Fiumara, Giacomo, De Meo, Pasquale, Bagdasar, Ovidiu, Song, Wei and Liotta, Antonio 2021. Criminal networks analysis in missing data scenarios through graph distances. PLos ONE. 16 (8), p. e0255067. https://doi.org/10.1371/journal.pone.0255067
Graph and Network Theory for the Analysis of Criminal Networks
Cavallaro, Lucia, Bagdasar, Ovidiu, De Meo, Pasquale, Fumara, Giacomo and Liotta, Antonio 2021. Graph and Network Theory for the Analysis of Criminal Networks. in: Springer, Cham.
WiFi probes sniffing: an artificial intelligence based approach for MAC addresses de-randomization
Uras, Marco, Cossu, Raimondo, Ferrara, Enrico, Bagdasar, Ovidiu, Liotta, Antonio and Atzori, Luigi 2020. WiFi probes sniffing: an artificial intelligence based approach for MAC addresses de-randomization. IEEE. https://doi.org/10.1109/camad50429.2020.9209257
Artificial neural networks training acceleration through network science strategies
Cavallaro, Lucia, Bagdasar, Ovidiu, De Meo, Pasquale, Fiumara, Giacomo and Liotta, Antonio 2020. Artificial neural networks training acceleration through network science strategies. Soft Computing. https://doi.org/10.1007/s00500-020-05302-y