Paolo Garza

Postdoctoral fellow
Dipartimento di Automatica e Informatica, Politecnico di Torino
Corso Duca degli Abruzzi, 24, 10129, Torino, ITALY
email: paolo.garza @ polito.it
Phone: +39 011-564-7178

CV

Curriculum Vitae - Full version (in italian)

Curriculum Vitae - Short version

Paolo Garza received his laurea and Ph.D. degrees in Computer Engineering from the Politecnico di Torino, Italy, in 2001 and 2005, respectively. He has been a postdoctoral fellow in the Dipartimento di Automatica e Informatica, Politecnico di Torino, since January 2005. His research has been supported by a postdoctoral research fellowship, granted by Politecnico di Torino, Regione Piemonte, and CRT Foundation, since May 2008.

Paolo Garza’s current research interests cover several aspects of data mining and database systems. In particular, his research has been devoted to the following main topics: (i) compact representation of XML documents and XML query optimization, (ii) associative classification algorithms.

• Compact representation of XML documents and XML query optimization. The research activity has been devoted to summarized representations of XML documents by means of association rules. Summarized representation may be used for answering queries, either when very large XML documents have to be queried, or when the actual XML document is not available. Summarization allows overcoming the limits of traditional XQuery engines, which cannot currently process significantly large XML documents. The main results of the research activity have been published on the ACM Transactions on Information Systems journal and in a book chapter.
• Associative classification algorithms. The research activity has been focused on innovative algorithms for performing classification by means of association rules. In particular, novel pruning techniques and classification algorithms based on compact representations for classification rules have been proposed and implemented in the L3 classifier. The proposed algorithms significantly increased the accuracy of classification models for both structured and textual data. The results of the research activity have been published on the IEEE Transactions on Knowledge and Data Engineering journal and in several conference papers.

Research projects.
Paolo Garza has been involved in national research projects funded by MIUR since 2001. In 2001 he was involved in a PRIN research project on management, transformation and exchange of data in a web environment. From 2002 to 2004 he managed a group of students developing a software prototype for industrial research project on the development of a framework for internet banking applications. In 2006, he was involved in a research contract with TelecomItaliaLAB on the design of a new generation transaction processing system with soft real-time constraints. He is currently working on the design of data mining algorithms for context-aware systems, in collaboration with TelecomItaliaLAB.

Scholarly service.
Paolo Garza served as referee for the ACM Transactions on Information Systems (special issue on XML Retrieval) and for the Data & Knowledge Engineering journal. He served on the program committee for the IADIS International Applied Computing 2006 conference. Since 2002 he has been serving as external referee for the ACM Symposium on Applied Computing, the International Conference on Data Warehousing and Knowledge Discovery, and the European Conference on Principles and Practice of Knowledge Discovery in Databases.

Teaching Activity.
Paolo Garza has been teaching assistant for courses on Database systems, Database systems technology, and Data warehousing and Data mining since 2002. He has been co-advisor of more than 20 master students, thus supervising their master thesis projects.

Publications

(List of publications from DBLP site)

Journals

1. Giulia Bruno, Paolo Garza (in press). TOD: Temporal Outlier Detection by using quasi-functional temporal dependencies. Data & Knowledge Engineering (DKE).
2. Elena Baralis, Silvia Chiusano, Paolo Garza (2008). A Lazy Approach to Associative classification. IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 20, Issue 2, 2008, pp. 156-171.
3. Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca (2007). Answering XML Queries by means of Data Summaries. ACM Transactions on Information Systems (TOIS), Volume 25, Issue 3, July 2007, Article No. 10, pp. 1-33.
4. Giulia Bruno, Paolo Garza, Elisa Quintarelli, Rosalba Rossato (2007). Anomaly Detection Through Quasi-Functional Dependency Analysis. Special Issue on Advances in Querying Non-Conventional Data Sources, Journal of Digital Information Management (JDIM), Volume 5, Number 4, August 2007, pp. 191-200.

Book Chapters

1. Devis Bianchini, Paolo Garza, Elisa Quintarelli (in press). Semantic-enriched data mining techniques for intensional service representation. In Management of the Interconnected World, Springer-Verlag.
2. Giulia Bruno, Paolo Garza, Elisa Quintarelli (2009). Mining rare association rules by discovering quasi-functional dependencies: an incremental approach. In Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection, IGI Global, 2009, pp. 131-149.
3. Silvia Chiusano, Paolo Garza (2009). Selection of High Quality Rules in Associative Classification. In Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, IGI Global, 2009, pp. 173-198.
4. Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca (2007). Using mined patterns for XML Query Answering. In Successes and New Directions in Data Mining, Idea Group Inc, 2007, pp. 39- 66.

Conferences and Workshops

1. Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti (2009). Context-Aware User and Service Profiling by means of Generalized Association Rules. 13th International Conference on Knowledge-based and Intelligent Information & Engineering Systems (KES'09). Santiago, Chile, September 2009, pp. 50-57.
2. Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti (2009). Generalized Association Rules to Support Context-aware User and Service Profiling. (Extended abstract). 17th Italian Symposium on Advanced Database Systems (SEBD'09). Camogli, Italy, June 2009, pp. 101-108.
3. Elena Baralis, Mauro Cabutto, Tania Cerquitelli, Antonio Garofalo, Paolo Garza. (2008). Soft real-time view management. 4th International IEEE Conference on Intelligent Systems (IS'08). Varna, Bulgaria, September 2008, pp. 23-28.
4. Giulia Bruno, Paolo Garza, Elisa Quintarelli, Rosalba Rossato. (2007). Anomaly Detection in XML databases by means of Association Rules. Second International Workshop on Flexible Database and Information Systems Technology (FlexDBIST'07). Regensburg, Germany, September 2007, pp. 387-391.
5. Giulia Bruno, Paolo Garza, Elisa Quintarelli, Rosalba Rossato (2007). RADAR: Research of Anomalous Data through Association Rules. (Extended abstract). 15th Italian Symposium on Advanced Database Systems (SEBD'07). Fasano, Italy, June 2007, pp. 290-297.
6. Elena Baralis, Paolo Garza (2006). Associative Text Classification exploiting Negated Words. ACM Symposium on Applied Computing (SAC'06), Dijon, France, April 2006, pp. 530-535.
7. Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca (2004). Answering Queries on XML Data by means of Association Rules. (Extended abstract). Twelfth Italian Symposium on Advanced Database Systems (SEBD'04), Cagliari, Italy, June 2004, pp. 262-269.
8. Elena Baralis, Silvia Chiusano, Paolo Garza (2004). On Support Thresholds in Associative Classification. ACM Symposium on Applied Computing (SAC'04), Nicosia, Cyprus, March 2004, pp. 553-558.
9. Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca (2004). Summarizing XML Data by Means of Association Rules. Current Trends in Database Technology - EDBT 2004 Workshops, revised selected papers, LNCS 3268, pp. 260-269.
10. Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca (2004). Answering Queries on XML Data by means of Association Rules. EDBT International Workshop on Database Technologies for Handling XML Information on the Web (DataX'04), Heraklion, Crete, Greece, March 2004, Informal proceedings.
11. Elena Baralis, Paolo Garza (2003). Majority Classification by Means of Association Rules. 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'03), Cavtat-Dubrovnik, Croatia, September 2003, pp. 35-46.
12. Carla F. Chiasserini, Marco Ajmone Marsan, Elena Baralis, Paolo Garza (2003). Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs. 36th Annual Hawaii International Conference on System Sciences (HICSS'03), Big Island of Hawaii, USA, January 2003, pp. 313-322.
13. Elena Baralis, Paolo Garza (2002). A Lazy Approach to Pruning Classification Rules. IEEE International Conference on Data Mining (ICDM'02), Maebashi, Japan, December 2002, pp. 35-42.
14. Elena Baralis, Paolo Garza (2002). Accurate Classification by means of Association Rules. (Extended abstract). Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati (SEBD'02), Portoferraio, Italy, June 2002, pp. 273-280.
15. Elena Baralis, Paolo Garza (2002). Classification of Text by means of Association Rules. (Extended abstract). International Conference on Applied Mathematical Programming and Modelling (APMOD'02), Varenna, Italy, June 2002, pp 234-236, Informal proceedings.

Other

1. Elena Baralis, Paolo Garza (2002). Classification of Text by means of Association Rules. AIRONews, Volume 7, Number 4, Winter 2002, pp. 8-12.

Software

L3 associative classifier

Temporal dataset generator

Forthcoming conferences