Fabio Fumarola, Ph.D., was a research assistant at the Department of Computer Science, University of Bari, Italy. He was a visiting researcher at the University of Illinois and he founded a Startup working on Data Mining on Big Data. He published more than 20 papers in refereed journals and conferences. He has served in the Program Committee of several conferences, including: ECML-PKDD, Biocomputation, DS and ISMIS. His research interests include Big Data, Web Mining and Data Stream Mining

Research Interests

Big Data Analytics, Data Mining and Knowledge Discovery, Data Stream Mining, Distributed Algorithms and Models, Inductive logic programming and Multi-relational Data Mining, Business Process Management and Web Service, Wireless Sensor Network.

Fabio Fumarola
PhD
em@il: fabio.fumarola @ uniba.it
webpage: https://kdde.di.uniba.it/fumarola/





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2021
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino:
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. WAIN@ICSE: 129-132 (2021)
DOI: https://doi.org/10.1109/WAIN52551.2021.00027
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino:
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. CoRR (2021)
DOI: https://arxiv.org/abs/2103.10548


2017
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Donato Malerba, Aleksandra Rashkovska:
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction? IEEE Trans. Industrial Informatics 13(3): 956-966 (2017)
DOI: https://doi.org/10.1109/TII.2016.2604758
Ilaria Bordino, Guido Caldarelli, Fabio Fumarola, Francesco Gullo, Tiziano Squartini:
Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18, 2017. MIDAS@PKDD/ECML CEUR Workshop Proceedings 1941, CEUR-WS.org (2017)
DOI: http://ceur-ws.org/Vol-1941
Fabio Fumarola, Pasqua Fabiana Lanotte:
Exploiting Recurrent Neural Networks for Gate Traffic Prediction. TRAP: 145-153 (2017)
DOI: https://doi.org/10.1007/978-3-319-75608-0_11
Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci:
Exploiting Web Sites Structural and Content Features for Web Pages Clustering. ISMIS: 446-456 (2017)
DOI: https://doi.org/10.1007/978-3-319-60438-1_44


2016
Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci:
Automatic Generation of Sitemaps Based on Navigation Systems. MOD: 216-223 (2016)
DOI: https://doi.org/10.1007/978-3-319-51469-7_18
Ilaria Bordino, Guido Caldarelli, Fabio Fumarola, Francesco Gullo, Tiziano Squartini:
Proceedings of the First Workshop on MIning DAta for financial applicationS (MIDAS 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016), Riva del Garda, Italy, September 19-23, 2016. MIDAS@PKDD/ECML CEUR Workshop Proceedings 1774, CEUR-WS.org (2016)
DOI: http://ceur-ws.org/Vol-1774
Fabio Fumarola, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba:
CloFAST: closed sequential pattern mining using sparse and vertical id-lists. Knowl. Inf. Syst. 48(2): 429-463 (2016)
DOI: https://doi.org/10.1007/s10115-015-0884-x
Nicoletta Del Buono, Flavia Esposito, Fabio Fumarola, Angelina Boccarelli, Mauro Coluccia:
Breast Cancer's Microarray Data: Pattern Discovery Using Nonnegative Matrix Factorizations. MOD: 281-292 (2016)
DOI: https://doi.org/10.1007/978-3-319-51469-7_24


2015
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska:
Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. IDEAS: 62-71 (2015)
DOI: https://doi.org/10.1145/2790755.2790762
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska:
VIPOC Project Research Summary (Discussion Paper). SEBD: 208-215 (2015)


2014
Fabio Fumarola, Annalisa Appice, Donato Malerba:
A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants. ISMIS: 518-523 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_54
Pasqua Fabiana Lanotte, Fabio Fumarola, Michelangelo Ceci, Andrea Scarpino, Michele Damiano Torelli, Donato Malerba:
Automatic Extraction of Logical Web Lists. ISMIS: 365-374 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_37
Gianvito Pio, Fabio Fumarola, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. JOCCH 7(4): 22:1-22:21 (2014)
DOI: https://doi.org/10.1145/2629513
Fabio Fumarola, Donato Malerba:
A parallel algorithm for approximate frequent itemset mining using MapReduce. HPCS: 335-342 (2014)
DOI: https://doi.org/10.1109/HPCSim.2014.6903705
Michelangelo Ceci, Pasqua Fabiana Lanotte, Fabio Fumarola, Dario Pietro Cavallo, Donato Malerba:
Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining. Discovery Science: 49-61 (2014)
DOI: https://doi.org/10.1007/978-3-319-11812-3_5
Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba:
Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance. Springer Briefs in Computer Science, Springer: I-XIII, 1- (2014), ISBN: 978-1-4471-5453-2
DOI: https://doi.org/10.1007/978-1-4471-5454-9


2013
Fabio Fumarola, Gianvito Pio, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. IRCDL: 29-40 (2013)
DOI: https://doi.org/10.1007/978-3-642-54347-0_4


2012
Michelangelo Ceci, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo:
Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data. ITBAM: 109-123 (2012)
DOI: https://doi.org/10.1007/978-3-642-32395-9_9
Michelangelo Ceci, Pietro Hiram Guzzi, Elio Masciari, Mauro Coluccia, Federica Mandreoli, Massimo Mecella, Fabio Fumarola, Riccardo Martoglia, Wilma Penzo:
The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis. SIGHIT Record 2(2): 16-21 (2012)
DOI: https://doi.org/10.1145/2384556.2384558
Michelangelo Ceci, Mauro Coluccia, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo:
A Framework for Biological Data Normalization, Interoperability, and Mining for Cancer Microenvironment Analysis. SEBD: 67-74 (2012)
DOI: http://sebd2012.dei.unipd.it/documents/188475/3553ac06-7eed-42d4-b523-9f9bef554fe6


2011
Eliana Salvemini, Fabio Fumarola, Donato Malerba, Jiawei Han:
FAST Sequence Mining Based on Sparse Id-Lists. ISMIS: 316-325 (2011)
DOI: https://doi.org/10.1007/978-3-642-21916-0_35
Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han:
Extracting General Lists from Web Documents: A Hybrid Approach. IEA/AIE (1): 285-294 (2011)
DOI: https://doi.org/10.1007/978-3-642-21822-4_29
Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han:
HyLiEn: a hybrid approach to general list extraction on the web. WWW (Companion Volume): 35-36 (2011)
DOI: https://doi.org/10.1145/1963192.1963211
Tim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick Barber, Jiawei Han, Donato Malerba:
Growing parallel paths for entity-page discovery. WWW (Companion Volume): 145-146 (2011)
DOI: https://doi.org/10.1145/1963192.1963266
Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua M. Hailpern, Jiawei Han, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, Xiao Yu:
WINACS: construction and analysis of web-based computer science information networks. SIGMOD Conference: 1255-1258 (2011)
DOI: https://doi.org/10.1145/1989323.1989469


2010
Tim Weninger, Fabio Fumarola, Jiawei Han, Donato Malerba:
Mapping web pages to database records via link paths. CIKM: 1637-1640 (2010)
DOI: https://doi.org/10.1145/1871437.1871692
Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba:
Unexpected results in automatic list extraction on the web. SIGKDD Explorations 12(2): 26-30 (2010)
DOI: https://doi.org/10.1145/1964897.1964904


2009
Anna Ciampi, Fabio Fumarola, Annalisa Appice, Donato Malerba:
Approximate Frequent Itemset Discovery from Data Stream. AI*IA: 151-160 (2009)
DOI: https://doi.org/10.1007/978-3-642-10291-2_16
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba:
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. Discovery Science: 385-392 (2009)
DOI: https://doi.org/10.1007/978-3-642-04747-3_30
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba:
Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM: 427-439 (2009)
DOI: https://doi.org/10.1007/978-3-642-03070-3_32
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba:
Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS: 563-572 (2009)
DOI: https://doi.org/10.1007/978-3-642-04125-9_59
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba:
A Relational Approach to Novelty Detection in Data Streams. SEBD: 89-100 (2009)


2008
Fabio Fumarola, Eliana Salvemini, Donato Malerba:
A KDD Platform Based on the Application Service Provider Paradigm. ICDM Workshops: 983-986 (2008)
DOI: https://doi.org/10.1109/ICDMW.2008.100
Fabio Fumarola, Eliana Salvemini, Donato Malerba:
KD-ASP - A distributed collaborative data mining platform. SEBD: 109-120 (2008)