Angelo Impedovo is a Research Fellow at Computer Science department of University of Bari Aldo Moro

Research Interests

Multirelational data mining, Pattern mining, Dynamic networks, Network Data Streams, Temporal Pattern Mining, Heterogeneous Networks

Angelo Impedovo
PhD, Research Fellow
Phone: +39 080 5442203
em@il: angelo.impedovo @ uniba.it
webpage: http://www.di.uniba.it/~aimpedovo/





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2020

Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci:
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS: 451-467 (2020)
DOI: https://doi.org/10.1007/978-3-030-61527-7_30
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD: 343-350 (2020)
DOI: http://ceur-ws.org/Vol-2646/38-paper.pdf
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94: 103830 (2020)
DOI: https://doi.org/10.1016/j.engappai.2020.103830
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. 192: 105303 (2020)
DOI: https://doi.org/10.1016/j.knosys.2019.105303
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining: 137-152 (2020)
DOI: https://doi.org/10.1007/978-3-030-36617-9_9


2019

Angelo Impedovo, Michelangelo Ceci, Toon Calders:
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS: 396-411 (2019)
DOI: https://doi.org/10.1007/978-3-030-33778-0_30
Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD (2019)
DOI: http://ceur-ws.org/Vol-2400/paper-23.pdf


2018

Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining microscopic and macroscopic changes in network data streams. Knowl.-Based Syst. 161: 294-312 (2018)
DOI: https://doi.org/10.1016/j.knosys.2018.07.011
Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba:
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA: 123-135 (2018)
DOI: https://doi.org/10.1007/978-3-030-03840-3_10


2017

Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci:
Temporal Pattern Mining from Evolving Networks. CoRR (2017)
DOI: http://arxiv.org/abs/1709.06772


2016

Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML: 198-212 (2016)
DOI: https://doi.org/10.1007/978-3-319-61461-8_13