Corrado Loglisci' Home Page

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

CORRADO LOGLISCI
PhD in Computer Science
Research Assistant

Dipartimento di Informatica
Università degli Studi di Bari
Via Orabona 4
70126 Bari - Italy

phone: +39 080 5442299
fax: +39 080 5443296
email: loglisci@di.uniba.it

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

Awards and Prizes

October 2006 - He received the POR Puglia 2000-2006, Asse III, Mis. 3.12, Op. C.2 grant for his Ph.D. course from Regione Puglia (Apulian Region government)
May 2007 - He received the POR Puglia 2000-2006,Asse III, Mis. 3.12, Az. a, I.s. A.1 grant for industrial research activity from Regione Puglia (Apulian Region government)
July 2009 - He received the candidature at Best Paper Award at International Conference on Machine Learning and Data Mining, MLDM 2009.

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Research

Projects

IBM 1999 : Knowledge Management and Data Mining techniques in Bioinformatics.
IBM Faculty Award 2005: Knowledge Discovery Technologies for the development of a Gene and SNPs filtering engine.
SEEDS: Sustainable and Effective Entrepreneurship Development Scheme (INTERREG IIIB CADSES).
KDubiq 2005-2008:A Blueprint for Ubiquitous Knowledge Discovery Systems ( IST-6FP-021321 FET Open 6th F.P.).
PONTE 2006-2007: Studio territoriale di ricerca per i servizi sociali (Local Analysis for Social Welfare).
FIRB 2003: Laboratorio Internazionale di BIoinformatica (International Laboratory on Bioinformatics).
bioFAR 2006-2010: Laboratorio di Bioinformatica per la Biodiversità Molecolare (Laboratory on Bioinformatics for Molecular Biodiversity).
ATENEO 2005: Gestione dell'informazione non strutturata: modelli, metodi e Architetture (Unstructured Information management: models, methods and architectures)
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)

Activities

Organizing Commitee
Logic-based Approaches in Bioinformatics Workshop (BIO-LOGICAL 2009)

Program Commitee
- International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2009)

Conference Reviewing
- International Conference on Data Mining (ICDM 2005, ICDM 2008, ICDM 2009)
- ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2009)
- 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)
- 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)
- ACM Symposium on Applied Computing - Data Mining Track (SAC 2006)
- Italian Symposium on Advanced Database Systems (SEBD 2005, SEBD 2006, SEBD 2008)
- International Conference on Computational Statistics (COMPSTAT2008)
- European Conference on Data Mining (IADIS-DM 2008)
- Workshop on Data Mining and Bioinformatics (DMBIO 2008) held in AI Life Sciences 2008
- International Conference on Artificial Intelligence Methodology, Systems, Applications (AIMSA 2008)
- International Conference Intelligent Systems and Agents (IADIS-ISA 2008)
- Workshop on Domain Driver Data Mining (DDDM08) held in ICDM 2008
- ACM Symposium on Applied Computing - Special Track on Data Mining (SAC 2008)
- 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)

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Publications

Papers in Journals

· A. Turi, C. Loglisci , E. Salvemini, G. Grillo, D. Malerba & D. D'Elia. Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining , BMC Bioinformatics , BioMed Central, 10 , Suppl 6, S25. (impact factor: 3.78)

Papers in International Collections

C. Loglisci, M. Ceci & D. Malerba. A Knowledge-based Framework for Information Extraction from Clinical Practice Guidelines . In J. Rauch et al (Eds), ISMIS 2009: Foundations of Intelligent Systems , LNCS 5722 , pp 119-128 , Springer-Verlag.

M. Ceci, A. Appice, C. Loglisci, C. Caruso, F. Fumarola & D. Malerba . Novelty Detection from Evolving Complex Data Streams with Time Windows . In J. Rauch et al (Eds), ISMIS 2009: Foundations of Intelligent Systems , LNCS 5722 , pp 563-572, Springer-Verlag.

C. Loglisci & D. Malerba. A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. In Carlo Combi and Yuval Shahar and Ameen Abu-Hanna (Eds), AIME 2009: Artificial Intelligence in Medicine, LNCS 5651, pp 26-35, Springer-Verlag.

C. Loglisci & D. Malerba. Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. In Petra Perner (Eds), MLDM 2009: Machine Learning and Data Mining in Pattern Recognition, LNCS 5632, pp 251-265, Springer-Verlag. (Best Paper Award Candidate)

M. Ceci, A. Appice, C. Loglisci, C. Caruso, F. Fumarola, C. Valente & D. Malerba. Relational Frequent Patterns Mining for Novelty Detection from Data Streams. In Petra Perner (Eds), MLDM 2009: Machine Learning and Data Mining in Pattern Recognition, LNCS 5632, pp 427-439, Springer-Verlag.

C. Loglisci & D. Malerba. Discovering Explanations from Longitudinal Data . In Aijun An and Stan Matwin and Zbigniew W. Ras and Dominik Slezak (Eds), ISMS 2008: Foundations of Intelligent Systems , LNCS 4994 , pp 196-202 , Springer-Verlag.

M. Berardi, A. Appice, C. Loglisci & P. Leo . Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling . In Floriana Esposito and Zbigniew W. Ras and Donato Malerba and Giovanni Semeraro (Eds), ISMS 2006: Foundations of Intelligent Systems , LNCS 4203 , pp 369-378 , Springer-Verlag.

M. Berardi, M. Lapi, P. Leo & C. Loglisci . Mining Generalized Association Rules on Biomedical Literature . In Moonis Ali and Floriana Esposito (Eds), IEA/AIE 2005: Innovations in Applied Artificial Intelligence, 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems , LNCS 3533 , pp 500-509 , Springer-Verlag.

Papers in International Conferences

A. Turi, C. Loglisci , E. Salvemini, G. Grillo, D. Malerba & D. D'Elia. Compuutational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. EMBnet Conference 2008, EMBnet.news vol. 14(3), pp 60.

C. Loglisci & D.Malerba . Mining Temporal Associations Between Air Pollution and Effects on the Human Health. In Brito P. (Eds) Proceedings of COMPSTAT 2008: International Conference on Computational Statistics -Contributed Papers, pp 307-314, ISBN: 978-3-7908-2083- 6, Physica-Verlag.

C. Loglisci, S. D'Alessandro, M. Berardi & D. Malerba. Mining non redundant generalized association rules . In Ferreira, C., Lauro, C., Saporta, G. and Souto de Miranda, M. (Eds), Proceedings of IASC 2007: Statistics for Data Mining Learning and Knowledge Evaluation, CD-ROM, ISBN 978-90-73592-26-1.

Papers in International Workshops

C. Loglisci & D.Malerba . Discovering Triggering Events from Longitudinal Data. In F. Bonchi et al (Eds) Workshops Proceedings of ICDM 2008: IEEE International Conference on Data Mining- Mining Complex Data Workshop, pp 248-256, IEEE Computer Society.

C. Loglisci & M. Berardi. Segmentation of Evolving Complex Data and Generation of Models. In Workshops Proceedings of ICDM 2006: IEEE International Conference on Data Mining- Mining Complex Data Workshop, pp 269-273 , IEEE Computer Society.

Papers in National Conferences

C. Loglisci, M. Berardi, S. D'Alessandro and Pietro Leo. Finding Generalized Closed Frequent Itemsets for Mining Non Redundant Association Rules . In M. Ceci and D. Malerba and L. Tanca (Eds) Proceedings of SEBD 2007: Italian Symposium on Advanced Database Systems , pp 184-195 , ISBN: 978-88-902981-0-3 .

D. D'Elia, C. Loglisci, E. Salvemini, A. Turi, D. Malerba. Higher Order Mining of Biological Motifs. Atti del Convegno AI*IA 2008: Data Mining and Bioinformatics Workshop, pp 120-136, Cagliari- Italy, September 13, 2008.

A. Appice, M. Ceci, C. Loglisci, C. Caruso, F. Fumarola, M. Todaro & D. Malerba . A Relational Approach to Novelty Detection in Data Streams. Proceedings of SEBD 2009: Italian Symposium on Advanced Database Systems .

C. Loglisci, E. Salvemini, A. Turi, G. Grillo, D. Malerba & D. D'Elia . Mining Frequent Patterns of Biological Spaced Motifs. Proceedings of SEBD 2009: Italian Symposium on Advanced Database Systems .

Scientific Communications

C. Loglisci, E. Salvemini, A. Turi, G. Grillo, D. Malerba & D. D'Elia . Discovering Relational Association Rules for the Characterization of UTR cis-regulatory modules . Annual Meeting of the Bioinformatic Italian Society, BITS 2009, March 18-20, 2009, Genova, Italy.

G. Donvito, A. Turi, C. Loglisci, G. Grillo , D. Malerba, D. D'Elia, G. Maggi & E. Salvemini . Computational annotation of UTR cis-regulatory modules using the EGEE (gLite) infrastructure. Enabling Grids for e-Science, 4th EGEE User Forum, March 2-6, 2009, Catania, Italy.

M. Berardi, D. Malerba, C. Marinelli, P. Leo, Co. Loglisci & G. Scioscia. A Text-Mining application able to mine association rules from biomedical texts. Annual Meeting of the Bioinformatic Italian Society, BITS 2005, Milano, Marzo 17-19, 2005 .

M. Attimonelli, I. Cascione, M. Santamaria, M Accetturo, D. Lascaro, M. Berardi , M. Ceci, C. Loglisci & D. Malerba. A data mining approach to retrieve mitochondrial variability data associated to clinical phenotypes. Annual Meeting of the Bioinformatic Italian Society, BITS 2005, Milano, Marzo 17-19, 2005.

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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

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Software

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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