Archivi categoria: Publications
M. A. Javarone, R. Interdonato, A. Tagarelli. Modeling Evolutionary Dynamics of Lurking in Social Networks. The 2016 International Conference on Complex Networks (CompleNet 2016), pp. 227-239. Dijon, France, March 23-25, 2016.
To Trust or Not to Trust Lurkers?: Evaluation of Lurking and Trustworthiness in Ranking Problems @NetSci-X16
R. Interdonato, A. Tagarelli. To Trust or Not to Trust Lurkers?: Evaluation of Lurking and Trustworthiness in Ranking Problems. The 2016 International Conference and School on Advances in Network Science (NetSci-X 2016), pp. 43-56. Wroclaw, Poland, January 11-13, 2016.
S. Romeo, D. Ienco, A. Tagarelli. Knowledge-Based Representation for Transductive Multilingual Document Classification. Proceedings of 37th European Conference on IR Research, ECIR 2015, pp. 92-103. Vienna, Austria, March 29 – April 2, 2015.
D. Anastasiu, A. Rashid, A. Tagarelli, G. Karypis. Understanding Computer Usage Evolution. IEEE International Conference on Data Engineering (ICDE 2015), To Appear. Seoul, Korea, April 13-17, 2015.
S. Romeo, A. Tagarelli, D. Ienco. Semantic-Based Multilingual Document Clustering via Tensor Modeling. International Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), To Appear. Doha, Qatar, October 25-29, 2014. PDF
F. Gullo, G. Ponti, A. Tagarelli. Be certain of how-to before mining uncertain data. The 2014 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Nectar Track. Nancy, France, September 15-19, 2014.
R. Interdonato, A. Tagarelli. Multi-relational PageRank for Tree Structure Sense Ranking. World Wide Web Journal (WWWJ), 1-29. Online First: July 30, 2014.
S. Romeo, A. Tagarelli, D. Ienco. Clustering View-Segmented Documents via Tensor Modeling. 21st International Symposium on Methodologies for Intelligent Systems (ISMIS 2014), pp. 385-394, LNCS 8502. Roskilde, Denmark, June 25-27, 2014.
Evaluation of an associative classifier based on position-constrained frequent/closed subtree mining @JIIS
D. Bach Bui, F. Hadzic, A. Tagarelli, M. Hecker. Evaluation of an associative classifier based on position-constrained frequent/closed subtree mining. Journal of Intelligent Information Systems (JIIS), 1-25. Online First: April 9, 2014.
A. Tagarelli, R. Interdonato. Ranking Vicarious Learners in Research Collaboration Networks. 15th International Conference on Asia-Pacific Digital Libraries (ICADL), pp. 93-102, LNCS 8279. Bangalore, India, December 9-11, 2013.inflatable obstacle course
R. Interdonato, S. Romeo, A. Tagarelli, G. Karypis. A Versatile Graph-Based Approach to Package Recommendation. 25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 857-864. Washington DC, USA, November 4-6, 2013. Best Student Paper Award.
D. C. Anastasiu, A. Tagarelli, G. Karypis. Document Clustering: The Next Frontier, pp. 305-338. In Data Clustering: Algorithms and Applications, by Charu C. Aggarwal, Chandan K. Reddy (Editors). Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. Taylor & … Continua a leggere
R. Interdonato, A. Tagarelli. Multi-relational PageRank for Tree Structure Sense Ranking. 14th International Conference on Web Information Systems Engineering (WISE 2013), pp. 306-319, LNCS 8180. Nanjing, China, October 13-15, 2013.
F. Gullo, C. Domeniconi, A. Tagarelli. Metacluster-based Projective Clustering Ensembles. Machine Learning Journal (SI on MultiClust), Springer. Accepted: June 7, 2013, Online First: July 2, 2013. DOI: 10.1007/s10994-013-5395-y
F. Gullo, G. Ponti, A. Tagarelli. Minimizing the variance of cluster mixture models for clustering uncertain objects. Statistical Analysis and Data Mining (SAM) 6(2):116-135, 2013. Online First: November 19, 2012.
S. Romeo, A. Tagarelli, F. Gullo, S. Greco. A Tensor-based Clustering Approach for Multiple Document Classifications. 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM), pp. 200-205. Barcelona, Spain, February 15-18, 2013.
A. Tagarelli, G. Karypis. A Segment-based Approach To Clustering Multi-Topic Documents. Knowledge and Information Systems (KAIS), 1-33. Online First: September 12, 2012.
F. Gullo, AKM Khaled Ahsan Talukder, S. Luke, C. Domeniconi, A. Tagarelli. Multiobjective Optimization of Co-Clustering Ensembles. Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO), pp. 1495-1496. Philadelphia, USA, July 7-11, 2012.
F. Gullo, C. Domeniconi, A. Tagarelli. Projective Clustering Ensembles. Data Mining and Knowledge Discovery (DAMI), Accepted April 3, 2012, Online First: May 3, 2012.
F. Gullo, A. Tagarelli. Uncertain Centroid based Partitional Clustering of Uncertain Data. Proceedings of the VLDB Endowment (ACM), 5(7):610-621, 2012. PDF
F. Hadzic, M. Hecker, A. Tagarelli. XML Document Clustering Using Structure-Preserving Flat Representation of XML Content and Structure. 7th International Conference on Advanced Data Mining and Applications (ADMA’11), LNAI 7121 (Part 2), pp. 403-416. Beijing, China, December 17-19, 2011. PDF
G. Ponti, A. Tagarelli, G. Karypis. A Statistical Model for Topically Segmented Documents. Fourteenth International Conference on Discovery Science (DS’11), LNAI 6926, pp. 247-261. Espoo, Finland, October 5-7, 2011. PDF