Corrado Loglisci's Home Page Research interests: Temporal Data Mining, Temporal Learning, Textual Data Mining, Information Extraction. Data Mining & Knowledge Discovery, Machine Learning, Inductive Logic Programming, Symbolic Data Analysis. Applications: Bioinformatics, Medical Informatics, Industrial Process Supervision, Enviromental Monitoring, Document Analysis, Network Traffic Analysis, Social Network Analysis, Mobility

CORRADO LOGLISCI PhD in Computer Science Assistant Professor Dipartimento di Informatica Università degli Studi di Bari Via Orabona 4 70126 Bari - Italy   phone: +39 080 5443407 fax: +39 080 5443296  email: corrado.loglisci@uniba.it , loglisci@di.uniba.it

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Curriculum Vitae et Studiorum

General Info

Nationality: italian

Education

• October 2004 - He received a Laurea Degree (Laurea Quinquennale) in Computer Science from the University of Bari. He discussed a thesis on Filtering Association Rules for Text Mining from Biomedical Literature.
• December 2004 - He started his Ph.D. Course in Computer Science at University of Bari- Italy, under the supervision of Prof. Donato Malerba.
• July 2005 - He attended the ACAI’05 Summer School- Advanced Course on Knowledge Discovery- in Josef Stefan Institute-Ljubljana (Slovenia).
• April 2008 - He defended his Ph.D. thesis entitled as A Data Mining Approach to the Problem of Temporal Projection on Longitudinal Data.
• July 2008 - He received a Laurea Degree (Laurea Specialistica) with full marks and honors in Computer Science from the University of Bari. He discussed a thesis on Discovering Non redudant and Minimal Pattern

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Research

Projects

• IBM 1999 : Knowledge Management and Data Mining techniques in Bioinformatics.
• FIRB 2003: Laboratorio Internazionale di BIoinformatica (International Laboratory on Bioinformatics).
• ATENEO 2005: Gestione dell'informazione non strutturata: modelli, metodi e Architetture (Unstructured Information management: models, methods and architectures)
• KDubiq 2005-2008:A Blueprint for Ubiquitous Knowledge Discovery Systems ( IST-6FP-021321 FET Open 6th F.P.).
• SEEDS: Sustainable and Effective Entrepreneurship Development Scheme (INTERREG IIIB CADSES).
• PON 2006 PONTE: Studio territoriale di ricerca per i servizi sociali (Local Analysis for Social Welfare).
• FAR 2006-2010 MBlab: Laboratorio di Bioinformatica per la Biodiversità Molecolare (Laboratory on Bioinformatics for Molecular Biodiversity).
• ATENEO 2006: Metodi di scoperta di conoscenza per ubiquitous computing (Knowledge Discovery Methods for ubiquitous computing)
• ATENEO 2007:Metodi di scoperta della conoscenza nelle basi di dati: evoluzioni rispetto allo schema unimodale (Knowledge Discovery in databases: extensions with respect to the unimodal schema)
• ATENEO 2008: Scoperta di conoscenza in domini relazionali (Knowledge Discovery in relational domains)
• ATENEO 2009: Modelli e metodi computazionali per la scoperta di conoscenza in dati biomedici (Computational models and methods for knowledge discovery from biomedical data)
• Progetto Strategico 2006-2009 DIPIS : Produzione Distribuita come Sistema Innovativo (DIstribuited Production as Innovative System)
• PRIN 2009: Tecniche di Apprendimento in Domini Relazionali e loro Applicazioni (Learning Techniques in Relational Domains and Their Applications funded by MIUR-Minister of Education, University and Research
• ATENEO 2010: Modelli e soluzioni computazionali per la scoperta di conoscenza in dati spazio-temporali (Models and computational solutions for knowledge discovery in spatio-temporal data)
• Senterritoire 2012: Identificazione automatica di Opinioni rispetto al Territorio (Automatic identification of sentiments related to the territory funded by Maison des Sciences de l'Homme-Montpellier)
• PON 2012-2015 VINCENTE: AmbienteVirtuale di Intelligenza Collettiva per lo Sviluppo di Eco-sistemi per la Impreditorialità Tecnologica Sostenibile (Virtual collective INtelligenCe ENvironment to develop sustainable Technology Entrepreneurship ecosystems) 
• PON 2012-2015 Puglia@Service: Ingegneria dei Servizi Internet-based per lo Sviluppo Strutturale di un Territorio Intelligente (Internet-based Service Engineering enabling Smart Territory structural development)
• MAESTRA– Learning from Massive, Incompletely annotated, and Structured Data (Grant no. ICT-2013-612944).
• DSE-Digital Services Ecosystem 2015  (PON03PE_00136_1)
  

Grants and Awards

• Short-Term Scientific Mission COST-STSM-IC0903-12660 funded by MOVE EU COST action IC0903 (2013)
• Ph.D. Course funded by Apulia Regional Government, POR Puglia 2000-2006, Asse III, Mis. 3.12, Op. C.2 (2007)
• Industrial Research Grant funded by Apulia Regional Government, POR Puglia 2000-2006,Asse III, Mis. 3.12, Az. a, I.s. A.1 (2008)

Research Activities

• Visits
• January 2012 - March 2012.  Visiting researcher at  IRSTEA (National research institute of Science and Technology for Environment and Agriculture http://www.irstea.fr/en/home-page) in Montpellier (Francia). He collaborated with the TETIS research group guided by Dr. Maguelonne Teisseire on a task of geographic information extraction for the national project Senterritoire (2011)- Identification automatique de sentiments liés aux territoires (Maison des Sciences de l'Homme-Montpellier).
• July 2012. Visiting researcher in visit at Department of Informatics  (Aristotle University of Thessaloniki). He collaborated with Delab research group guided by da Prof. Yannis Manolopoulos on a task of spatio-temporal data mining from trajectories for the european project MOVE: Knowledge Discovery from Moving Objects (COST Action IC0903).

• Organization co-Chair
  

• MIND 2011 – Mining Complex Entities from Network and Biomedical Data Workshop (held at European Conference on Machine Learning and Knowledge Discovery inDatabases), Athens, Greece, September 2011
• MCP 2011 – Mining Complex Patterns Workshop (held at Italian Conference on Artificial Intelligence), Palermo, Italy, September 2011
• NFMCP 2012 – New Frontiers on Mining Complex Patterns Workshop (held at European Conference on Machine Learning and Knowledge Discovery in Databases), Bristol, UK, September 2012
• NFMCP 2013 – New Frontiers on Mining Complex Patterns Workshop (held at European Conference on Machine Learning and Knowledge Discovery in Databases), Prague, Czech Rep., September 2013
• NFMCP 2014 – New Frontiers on Mining Complex Patterns Workshop (held at European Conference on Machine Learning and Knowledge Discovery in Databases), Nancy, France, September 2014
• NFMCP 2015 – New Frontiers on Mining Complex Patterns Workshop (held at European Conference on Machine Learning and Knowledge Discovery in Databases), Porto, Portugal, September 2015
• NFMCP 2016 – New Frontiers on Mining Complex Patterns Workshop (held at European Conference on Machine Learning and Knowledge Discovery in Databases), Riva del Garda, Italy, September 2016
• DS 2016 – International Conference on Discovery Science, Bari, Italy, October 2016
• BigDat2017 – International School on Big Data, Bari, Italy, February 2017

• Program Commitee
  
  
  • IJCAI 2013,2017 International Joint Conference on Artificial Intelligence;
  • ECML-PKDD 2011-2017 European Conference on Machine Learning and Knowledge Discovery in Databases;
  • DBKDA 2009, 2010, 2011, 2012, International Conference on Advances in Databases, Knowledge, and Data Applications;
  • MEDINFO 2013,2016 World Congress on Medical and Health Informatics;
    
  • IDAMAP 2010, Intelligent Data Analysis in Biomedicine and Pharmacology Workshop;
  • ICMMI 2011, International Conference on Man-Machine Interactions;
  • ISA 2013, Intelligent Systems and Agents
  • ECDM 2011, 2012, 2013, 2015 European Conference on Data Mining.
  • COGNITIVE 2013, International Conference on Advanced Cognitive Technologies and Applications
  • IADIS 2014,2015 International Information Systems

• Reviewing
  
  • Information Sciences Journal (Elsevier ed.)
  • Data Mining and Knowledge Discovery (Springer ed.)
  • Data & Knowledge Engineering Journal (Elsevier ed.)
  • BMC Bioinformatics (Biomed central Ed.)
  • Fundamentae Informatica (IOS press ed.)
  • Applied Intelligence (Springer ed.)
  • Engineering Applications of Artificial Intelligence (Elsevier ed.)
  • Journal of Intelligent Information Systems (Springer ed.)
  • Journal of Transport Geography (Elsevier ed.)
  • Social Network Analysis and Mining (Springer ed.)
  • International Journal on Patter Recognition and Artificial Intelligence (World Scientific ed.)
  • International Journal of Data Mining, Modelling and Management (Inderscience ed.)
  • International Journal of Intelligent Information and Database Systems (Inderscience ed.)
  • International Journal of Social Network Mining (Inderscience ed.)
  • International Journal On Advances in Software (IARIA)
  • Journal of Circuits, Systems and Computers (World Scientific ed.)
  • European Conference on Artificial Intelligence (ECAI 2010)
  • Conference on Artificial Intelligence (AAAI-13, AAAI-15)
  • European Conference on Machine Learning and European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2005, ECML/PKDD 2007, ECML/PKDD 2008, ECML/PKDD 2010,ECML/PKDD 2011,ECML/PKDD 2012,ECML/PKDD 2013, ECML/PKDD 2014,ECML/PKDD 2015);
  • International Conference on Knowledge Discovery and Data Mining ACM SIGKDD (KDD 2010)
  • International Conference on Data Mining SIAM (SDM 2010)
  • International Conference on Advances in Computer Science and Engineering IASTED (ACSE 2010)
  • International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010)
  • Workshop on Mining Ubiquitous and Social Environments (MUSE 2010) held in ECML-PKDD 2010
  • International Conference on Data Mining (ICDM 2005, ICDM 2008, ICDM 2009,ICDM  2011,ICDM 2012, ICDM 2013);
  • ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2009);
  • International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2007);
  • Workshop on Mining Complex Data (MCD05, MCD08) held in ICDM 2005, ICDM 2008;
  • International Conference on Machine Learning and Data Mining for Pattern Recognition (MLDM 2005);
  • Pacific-Asia Conference on Principles and Practice of Knowledge Discovery in Databases (PAKDD 2009);
  • International Symposium on Methodologies for Intelligent Systems (ISMIS 2009);
  • Italian Symposium on Advanced Database Systems (SEBD 2005, SEBD 2006, SEBD 2008);
  • International Conference on Computational Statistics (COMPSTAT2008);
  • European Conference on Data Mining (2009,2015);
  • Workshop on Data Mining and Bioinformatics (DMBIO 2008) held in AI Life Sciences 2008;
  • International Conference on Artificial Intelligence Methodology, Systems, Applications (AIMSA 2008, AIMSA 2012);
  • International Conference Intelligent Systems and Agents (IADIS-ISA 2008,2013,2015);
  • Workshop on Domain Driver Data Mining (DDDM 2008, DDDM 2010) held in ICDM 2008, ICDM 2010;
  • ACM Symposium on Applied Computing - Special Track on Data Mining (SAC 2006, SAC 2008, SAC 2009);
  • Brazilian Symposium on Artificial Intelligence in Joint Conference (SBIA 2008);
  • International Conference on Advances in Databases (DB 2009);
  • Mexican International Conference in Computer Science (ENC 2009);
  • International Database Engineering & Applications Symposium (IDEAS 2009);
  • International Symposium on Programming and Systems (ISPS 2009);
  • IASTED International Conference on Advances in Computer Science and Engineering (ACSE 2010);
  • International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2009, DBKDA 2010,DBKDA 2011,DBKDA 2012,DBKDA 2013,DBKDA 2014);
  • SIAM Conference on Data Mining (SDM 2010)
  • International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE
  • 2013)
  • World Congress on Medical and Health Informatics, (Medinfo2013)

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Publications

• Loglisci, C., Malerba, D.
  Leveraging temporal autocorrelation of historical data for improving accuracy in network regression
  (2017) Statistical Analysis and Data Mining, 10 (1), pp. 40-53.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010868107&doi=10.1002%2fsam.11336&partnerID=40&md5=39c8214d488b026d06c069b0524fc0e3, DOI: 10.1002/sam.11336

• Loglisci, C., Appice, A., Malerba, D.
  Collective regression for handling autocorrelation of network data in a transductive setting
  (2016) Journal of Intelligent Information Systems, 46 (3), pp. 447-472. Cited 2 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929692748&doi=10.1007%2fs10844-015-0361-8&partnerID=40&md5=a636c5a679940da8797f38999e811f6b, DOI: 10.1007/s10844-015-0361-8

• Loglisci, C., Malerba, D.
  Mining periodic changes in complex dynamic data through relational pattern discovery
  (2016) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9607, pp. 76-90.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971500391&doi=10.1007%2f978-3-319-39315-5_6&partnerID=40&md5=6fd4c1c2b99c402a5982e174950544a3, DOI: 10.1007/978-3-319-39315-5_6

• Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari, E.
  Recent advances in mining patterns from complex data
  (2016) Journal of Intelligent Information Systems, 47 (1), .
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974806780&doi=10.1007%2fs10844-016-0415-6&partnerID=40&md5=740d5c1016e0a5b6ffd327f8afb8bdae
  DOI: 10.1007/s10844-016-0415-6

• Ceci, M., Loglisci, C., Manco, G., Masciari, E., Ras, Z.W.
  New Frontiers in Mining Complex Patterns (NFMCP 2015)
  (2016) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9607, pp. V-VI.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971525014&partnerID=40&md5=3c4ebd7d4fd891992ab421e3dd4c3244

• Loglisci, C., Balech, B., Malerba, D.
  Discovering variability patterns for change detection in complex phenotype data
  (2015) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9384, pp. 9-18. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84951994412&doi=10.1007%2f978-3-319-25252-0_2&partnerID=40&md5=de3d6525767d8d77441ae55fb1a82185
  DOI: 10.1007/978-3-319-25252-0_2

• Ceci, M., Loglisci, C., Rudd, L., Malerba, D.
  Discovering knowledge through multi-modal association rule mining for document image analysis
  (2015) CEUR Workshop Proceedings, 1509, .
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962485578&partnerID=40&md5=6879557bb4505047cf3c5be52dffa01b

• Loglisci, C., Ceci, M., Malerba, D.
  Relational mining for discovering changes in evolving networks
  (2015) Neurocomputing, (Part A), pp. 265-288. Cited 2 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84912066263&doi=10.1016%2fj.neucom.2014.08.079&partnerID=40&md5=c0bd686f41ba1b28cc8269820be1d949
  DOI: 10.1016/j.neucom.2014.08.079
  
  
• Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari, E., Ras, Z.W.
  Lecture Notes in Artificial Intelligence: Preface
  (2015) Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 8983, pp. V-VI.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84931081558&partnerID=40&md5=8fc25842ed3894d1e5c7c86b7b1fb48b
  
  
• Loglisci, C., Malerba, D.
  Mining dense regions from vehicular mobility in streaming setting
  (2014) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8502 LNAI, pp. 40-49. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903649956&doi=10.1007%2f978-3-319-08326-1_5&partnerID=40&md5=f807fbf9d2827753b9d56c22706b2121
  DOI: 10.1007/978-3-319-08326-1_5
  
  
• Loglisci, C., Appice, A., Malerba, D.
  Collective inference for handling autocorrelation in network regression
  (2014) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8502 LNAI, pp. 542-547. Cited 2 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903639626&doi=10.1007%2f978-3-319-08326-1_58&partnerID=40&md5=e8bec8b65d121d02cbbfd0fda8757adb
  DOI: 10.1007/978-3-319-08326-1_58
  
  
• Loglisci, C., Malerba, D., Papadopoulos, A.N.
  Mining trajectory data for discovering communities of moving objects
  (2014) CEUR Workshop Proceedings, 1133, pp. 301-308.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923673901&partnerID=40&md5=ebcd7d565580e3c2cd69747e5c2a6756
  
  
• Loglisci, C., Appice, A., Montinari, A., Malerba, D.
  Network regression in collective inference setting
  (2014) 22nd Italian Symposium on Advanced Database Systems, SEBD 2014, pp. 224-235. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914168996&partnerID=40&md5=8bcbb9385e6bf07481b4eb5d72f28848
  
  
• Ceci, M., Loglisci, C., Macchia, L.
  Ranking sentences for keyphrase extraction: A relational data mining approach
  (2014) Procedia Computer Science, 38 (C), pp. 52-59. Cited 2 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923295640&doi=10.1016%2fj.procs.2014.10.011&partnerID=40&md5=2b158abdec42f3c5f56fe832bd26666d
  DOI: 10.1016/j.procs.2014.10.011
  
  
• Appice, A., Ceci, M., Loglisci, C., Masciari, E., Manco, G.
  Mining complex patterns
  (2014) Journal of Intelligent Information Systems, 42 (2), pp. 179-180.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84900026541&doi=10.1007%2fs10844-013-0301-4&partnerID=40&md5=0cf26cc9d1c5a7b879b0ed080807df73
  DOI: 10.1007/s10844-013-0301-4
  
  
• Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari, E., Ras, Z.W.
  New Frontiers in Mining Complex Patterns (NFMCP 2013)
  (2014) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8399 LNAI, .
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905257729&partnerID=40&md5=6fd3a1854dae51297bf045b883eb4966
  
  
• Pio, G., Ceci, M., D'Elia, D., Loglisci, C., Malerba, D.
  A novel biclustering algorithm for the discovery of meaningful biological correlations between microRNAs and their target genes
  (2013) BMC Bioinformatics, 14 (SUPPL7), art. no. S8, . Cited 15 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887197568&doi=10.1186%2f1471-2105-14-S7-S8&partnerID=40&md5=f327646009b2aed87377086ed82dbf2d
  DOI: 10.1186/1471-2105-14-S7-S8
  
  
• Loglisci, C., Ceci, M., Malerba, D.
  Discovering evolution chains in dynamic networks
  (2013) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7765 LNAI, pp. 185-199. Cited 4 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875841119&doi=10.1007%2f978-3-642-37382-4_13&partnerID=40&md5=71467c6aa3fc7132e0edbc838f783da9
  DOI: 10.1007/978-3-642-37382-4_13
  
  
• Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari, E., Ras, Z.W.
  New Frontiers in Mining Complex Patterns (NFMCP 2012)
  (2013) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7765 LNAI, .
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875823811&partnerID=40&md5=8cd25ef8d0453c3781125ca86505a38d
  
• Ceci, M., Loglisci, C., Macchia, L., Malerba, D., Quercia, L.
  Document image understanding through iterative transductive learning
  (2013) Communications in Computer and Information Science, 354 CCIS, pp. 117-128.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873869311&doi=10.1007%2f978-3-642-35834-0_13&partnerID=40&md5=7770035d6f462566f60c2449268bb8e2
  DOI: 10.1007/978-3-642-35834-0_13
  
  
• Loglisci, C.
  Time-based discovery in biomedical literature: Mining temporal links
  (2013) International Journal of Data Analysis Techniques and Strategies, 5 (2), pp. 148-174. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944072637&partnerID=40&md5=d24f9d814f5de16d0b24c89bfa6314f6
  
  
• Pio, G., Ceci, M., D'Elia, D., Loglisci, C., Malerba, D.
  HOCCLUS2: A biclustering algorithm for the discovery of miRNA:mRNA regulatory modules
  (2013) 21st Italian Symposium on Advanced Database Systems, SEBD 2013, pp. 445-452.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903523185&partnerID=40&md5=0d9b13bc62bd9db3e6e276346d271de4
  
  
• Loglisci, C., Ienco, D., Roche, M., Teisseire, M., Malerba, D.
  Toward geographic information harvesting: Extraction of spatial relational facts from Web documents
  (2012) Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012, art. no. 6406520, pp. 789-796. Cited 4 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873177544&doi=10.1109%2fICDMW.2012.20&partnerID=40&md5=6219ffe91c370844f29822dd0c4c8605
  DOI: 10.1109/ICDMW.2012.20
  
  
• Loglisci, C., Ienco, D., Roche, M., Teisseire, M., Malerba, D.
  An unsupervised framework for topological relations extraction from geographic documents
  (2012) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7447 LNCS (PART 2), pp. 48-55. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866005799&doi=10.1007%2f978-3-642-32597-7_5&partnerID=40&md5=70bbf4dcad0a903aa37b051d0f27708f
  DOI: 10.1007/978-3-642-32597-7_5
  
  
• Pio, G., Ceci, M., Loglisci, C., D'Elia, D., Malerba, D.
  Hierarchical and overlapping co-clustering of mRNA:miRNA Interactions
  (2012) Frontiers in Artificial Intelligence and Applications, 242, pp. 654-659. Cited 6 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878771068&doi=10.3233%2f978-1-61499-098-7-654&partnerID=40&md5=d20397db6c38f86ddce8f9898c205d58
  DOI: 10.3233/978-1-61499-098-7-654
  
• Ceci, M., Loglisci, C., Ferilli, S., Malerba, D.
  Project D.A.M.A.: Document acquisition, management and archiving
  (2011) Communications in Computer and Information Science, 249 CCIS, pp. 115-118. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-83755168174&doi=10.1007%2f978-3-642-27302-5_13&partnerID=40&md5=665c24e24e186ee83c7231e1ec6a70ef
  DOI: 10.1007/978-3-642-27302-5_13
  
  
• Loglisci, C., Appice, A., Ceci, M., Malerba, D., Esposito, F.
  MBlab: Molecular biodiversity laboratory
  (2011) Communications in Computer and Information Science, 249 CCIS, pp. 132-135.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-83755170706&doi=10.1007%2f978-3-642-27302-5_18&partnerID=40&md5=1f78eea50c0dfcea80f0c41c1010e8d0
  DOI: 10.1007/978-3-642-27302-5_18
  
  
• Loglisci, C., Ceci, M., Appice, A., Malerba, D.
  Relational disjunctive patterns mining for discovering frequent variants in process models
  (2011) SEBD 2011 - Proceedings of the 19th Italian Symposium on Advanced Database Systems, pp. 226-237.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873653722&partnerID=40&md5=84eb7bc8b127e72f100b3748525e8381
  
• Ceci, M., Loglisci, C., Malerba, D.
  Transductive learning of logical structures from document images
  (2011) Studies in Computational Intelligence, 375, pp. 121-142. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-80455132048&doi=10.1007%2f978-3-642-22913-8_6&partnerID=40&md5=68eb4a24c9f117e88932d61db04012ca
  DOI: 10.1007/978-3-642-22913-8_6
  
  
• Loglisci, C., Ceci, M., Malerba, D.
  A temporal data mining framework for analyzing longitudinal data
  (2011) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6861 LNCS (PART 2), pp. 97-106.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052813838&doi=10.1007%2f978-3-642-23091-2_9&partnerID=40&md5=1852897c5dd9af2cf89031249f2064eb
  DOI: 10.1007/978-3-642-23091-2_9
  
  
• Loglisci, C., Ceci, M.
  Discovering temporal bisociations for linking concepts over time
  (2011) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6912 LNAI (PART 2), pp. 358-373. Cited 2 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052412840&doi=10.1007%2f978-3-642-23783-6_23&partnerID=40&md5=4a723c49585d6a38813b30b032aad175
  DOI: 10.1007/978-3-642-23783-6_23
  
  
• Loglisci, C., Ceci, M., Appice, A., Malerba, D.
  Discovering process models through relational disjunctive patterns mining
  (2011) IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining, art. no. 5949299, pp. 200-207. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961174130&doi=10.1109%2fCIDM.2011.5949299&partnerID=40&md5=bd0ed5d276344b4ff2566d05bfb8b418
  DOI: 10.1109/CIDM.2011.5949299
  
  
• Ceci, M., Loglisci, C., Salvemini, E., D'Elia, D., Malerba, D.
  Mining spatial association rules for composite motif discovery
  (2011) Mathematical Approaches to Polymer Sequence Analysis and Related Problems, pp. 87-109. Cited 2 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891854539&doi=10.1007%2f978-1-4419-6800-5_5&partnerID=40&md5=ec6451db93aca611028ca3241cae30f5
  DOI: 10.1007/978-1-4419-6800-5_5
  
  
• Loglisci, C., Ceci, M., Malerba, D.
  A relational approach for discovering frequent patterns with disjunctions
  (2010) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6263 LNCS, pp. 263-274.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049408281&doi=10.1007%2f978-3-642-15105-7_21&partnerID=40&md5=bd0a234fd29d6004116fda487531bdfb
  DOI: 10.1007/978-3-642-15105-7_21
  
  
• Ceci, M., Appice, A., Loglisci, C., Malerba, D.
  Complex objects ranking: A relational data mining approach
  (2010) Proceedings of the ACM Symposium on Applied Computing, pp. 1071-1077. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954699116&doi=10.1145%2f1774088.1774311&partnerID=40&md5=65a16d9458658fdf3663032774695f56
  DOI: 10.1145/1774088.1774311
  
  
  
• Appice, A., Ceci, M., Loglisci, C.
  Discovering informative syntactic relationships between named entities in biomedical literature
  (2010) 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010, art. no. 5477135, pp. 120-125. Cited 2 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954480779&doi=10.1109%2fDBKDA.2010.14&partnerID=40&md5=7fedd0daa9a33970dafd6e6d8c6c51bd
  DOI: 10.1109/DBKDA.2010.14
  
  
• Loglisci, C., Ceci, M., Malerba, D.
  Mining physiological data for discovering temporal patterns on disease stages
  (2010) Frontiers in Artificial Intelligence and Applications, 215, pp. 1117-1118.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956036483&doi=10.3233%2f978-1-60750-606-5-1117&partnerID=40&md5=45364fd40acee862afb7e31b64e90c23
  DOI: 10.3233/978-1-60750-606-5-1117
  
  
• Loglisci, C., Ceci, M., Malerba, D.
  Relational learning of disjunctive patterns in spatial networks
  (2010) CEUR Workshop Proceedings, 655, pp. 17-28.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84889022956&partnerID=40&md5=e6241f2765c32e92714f72c764153714
  
  
• Loglisci, C., Ceci, M., Malerba, D.
  Discovering temporal patterns of complex events in biosignal data
  (2010) SEBD 2010 - Proceedings of the 18th Italian Symposium on Advanced Database Systems, pp. 306-317.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890933631&partnerID=40&md5=9e161d90f75d85a83312881f5b64c415
  
  
• Loglisci, C., Salvemini, E., Turi, A., Grillo, G., D'Elia, D., Malerba, D.
  Mining frequent patterns of biological spaced motifs
  (2009) 17th Italian Symposium on Advanced Database Systems, SEBD 2009, pp. 117-124.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893425566&partnerID=40&md5=03729cdf40236903a4997c0ee3d52c90
  
• Appice, A., Ceci, M., Loglisci, C., Caruso, C., Fumarola, F., Todaro, M., Malerba, D.
  A relational approach to novelty detection in data streams
  (2009) 17th Italian Symposium on Advanced Database Systems, SEBD 2009, pp. 89-100.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893347476&partnerID=40&md5=10fbf2ce515bc11f97f26488af7526bf
  
• Loglisci, C., Malerba, D.
  Mining multiple level non-redundant association rules through two-fold pruning of redundancies
  (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5632 LNAI, pp. 251-265. Cited 6 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350614724&doi=10.1007%2f978-3-642-03070-3_19&partnerID=40&md5=7ed5eb30163c50b21e5b48dcd9a2dfa4
  DOI: 10.1007/978-3-642-03070-3_19
  
  
• Loglisci, C., Malerba, D.
  A temporal data mining approach for discovering knowledge on the changes of the patient's physiology
  (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5651 LNAI, pp. 26-35. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350236897&doi=10.1007%2f978-3-642-02976-9_4&partnerID=40&md5=f6b6343e2b45e3fe4bd88e603cc096c9
  DOI: 10.1007/978-3-642-02976-9_4
  
  
• Ceci, M., Appice, A., Loglisci, C., Caruso, C., Fumarola, F., Valente, C., Malerba, D.
  Relational frequent patterns mining for novelty detection from data streams
  (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5632 LNAI, pp. 427-439. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350239996&doi=10.1007%2f978-3-642-03070-3_32&partnerID=40&md5=e226b2a618d5a4edbd595b555a855c7c
  DOI: 10.1007/978-3-642-03070-3_32
  
  
• Loglisci, C., Ceci, M., Malerba, D.
  A knowledge-based framework for information extraction from clinical practice guidelines
  (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5722 LNAI, pp. 119-128. Cited 1 time.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349862114&doi=10.1007%2f978-3-642-04125-9_15&partnerID=40&md5=99842df56b1cb422aa15273b4620a100
  DOI: 10.1007/978-3-642-04125-9_15
  
  
• Ceci, M., Appice, A., Loglisci, C., Caruso, C., Fumarola, F., Malerba, D.
  Novelty detection from evolving complex data streams with time windows
  (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5722 LNAI, pp. 563-572. Cited 8 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349878669&doi=10.1007%2f978-3-642-04125-9_59&partnerID=40&md5=d56d72f341d811d9b969c2993c809b73
  DOI: 10.1007/978-3-642-04125-9_59
  
  
• Turi, A., Loglisci, C., Salvemini, E., Grillo, G., Malerba, D., D'Elia, D.
  Computational annotation of UTR cis-regulatory modules through frequent pattern mining
  (2009) BMC Bioinformatics, 10 (SUPPL. 6), art. no. S25, . Cited 8 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-67649109141&doi=10.1186%2f1471-2105-10-S6-S25&partnerID=40&md5=fd0e8f9027be9a46f33847871c46745b
  DOI: 10.1186/1471-2105-10-S6-S25
  
  
• Loglisci, C., Malerba, D.
  Discovering triggering events from longitudinal data
  (2008) Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008, art. no. 4733943, pp. 248-256. Cited 3 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-62449257009&doi=10.1109%2fICDMW.2008.136&partnerID=40&md5=ed22de68d667b89591bfacd2f4cc2ef7
  DOI: 10.1109/ICDMW.2008.136
  
  
• Loglisci, C., Malerba, D.
  Discovering explanations from longitudinal data
  (2008) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4994 LNAI, pp. 196-202.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-44649177651&doi=10.1007%2f978-3-540-68123-6_22&partnerID=40&md5=1935d7bfa0661a74e8e50b8d4757f1ec
  DOI: 10.1007/978-3-540-68123-6_22
  
  
• Loglisci, C., Berardi, M., D'Alessandro, S., Leo, P.
  Finding generalized closed frequent itemsets for mining non redundant association rules
  (2007) SEBD 2007 - Proceedings of the 15th Italian Symposium on Advanced Database Systems, pp. 184-195.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873638985&partnerID=40&md5=bf78c294dcf79467d6083b8df1fbd8fb
  
  
• Loglisci, C., Berardi, M.
  Segmentation of evolving complex data and generation of models
  (2006) Proceedings - IEEE International Conference on Data Mining, ICDM, art. no. 4063637, pp. 269-273. Cited 6 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-62449211238&partnerID=40&md5=0bf8d8349942d8a0e43ba30492ce8602
  
  
• Berardi, M., Appice, A., Loglisci, C., Leo, P.
  Supporting visual exploration of discovered association rules through multi-dimensional scaling
  (2006) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4203 LNAI, pp. 369-378. Cited 3 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-33750333978&partnerID=40&md5=3b3f744ac5e0d4c5ae84b3f572082364
  
  
• Berardi, M., Lapi, M., Leo, P., Loglisci, C.
  Mining generalized association rules on biomedical literature
  (2005) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3533 LNAI, pp. 500-509. Cited 8 times.
  https://www.scopus.com/inward/record.uri?eid=2-s2.0-26944471131&partnerID=40&md5=5640353a2ae43b0661a5566471c2e983
  

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Courses

Tutoring

• Advanced Computer Programming Methods (laboratory), Bachelor Degree in Informatics (academic year 2004-2005)
• Knowledge Bases and Data Mining (practice), Master Degree in Informatics (academic year 2005-2006)
• Advanced Data Base Systems (laboratory), Bachelor Degree in Informatics (academic year 2005-2006)
• Knowledge Bases and Data Mining (practice), Master Degree in Informatics (academic year 2007-2008 )
• Knowledge Bases and Data Mining (practice), Master Degree in Informatics ((academic year 2008-2009 )
• Advanced Computer Programming Methods (laboratory), Bachelor Degree in Informatics (academic year 2008-2009)

Teaching

• Advanced Computer Programming Methods- (Metodi Avanzati di Programmazione, Informatica, BRINDISI), academic year 2009-2010
• Advanced Computer Programming Methods- (Metodi Avanzati di Programmazione, Informatica, BRINDISI), academic year 2010-2011
• Advanced Computer Programming Methods- (Metodi Avanzati di Programmazione, Informatica, BRINDISI), academic year 2011-2012
• Advanced Computer Programming Methods- (Metodi Avanzati di Programmazione, Informatica, BRINDISI), academic year 2012-2013
• Advanced Computer Programming Methods- (Metodi Avanzati di Programmazione, Informatica, BRINDISI), academic year 2013-2014
• Advanced Computer Programming Methods- (Metodi Avanzati di Programmazione, Informatica, BRINDISI), academic year 2014-2015
• Advanced Computer Programming Methods- (Metodi Avanzati di Programmazione, Informatica, corso B), academic year 2015-2016
• Advanced Computer Programming Methods- (Metodi Avanzati di Programmazione, Informatica, corso B), academic year 2016-2017
• Advanced Techniques for Mining Structured Data (PhD Course in Computer Science and Mathematics), academic year 2016-2017
  

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(some) Software tools

• MTA (Mesh Terms Associator)

• EXPRES (Explainer and PRedictor of tEmporal States)

• FELIPE (inFormation Extractor of cLInical Practice guidElines)

• jSPADA (SPADA algorithm for disJunctive patterns)
  
• Process Mining Case Study
  

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