Archivi autore: people_admin
Modeling Evolutionary Dynamics of Lurking in Social Networks @CompleNet16
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.
Pubblicato in Conference Proceedings, News
Contrassegnato delurking, game theory, Lurker Game, lurking, public goods game
Commenti disabilitati su Modeling Evolutionary Dynamics of Lurking in Social Networks @CompleNet16
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.
Pubblicato in Conference Proceedings, News
Contrassegnato lurker analysis and mining, trust ranking, TrustRank
Commenti disabilitati su To Trust or Not to Trust Lurkers?: Evaluation of Lurking and Trustworthiness in Ranking Problems @NetSci-X16
Co-organized Workshop: MultilingMine @ ECIR 2016
Andrea is Co-Organizer of the upcoming ECIR Workshop Modeling, Learning and Mining for Cross/Multilinguality (MultilingMine)
Pubblicato in Events, News
Contrassegnato crosslingual IR, multilingual document mining, multilingual IR
Commenti disabilitati su Co-organized Workshop: MultilingMine @ ECIR 2016
“Got to have faith!”: The DEvOTION algorithm for delurking in social networks @ASONAM15
R. Interdonato, C. Pulice, A. Tagarelli. “Got to have faith!”: The DEvOTION algorithm for delurking in social networks. The 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015). Paris, France. August 25-28, 2015. PDF
Pubblicato in Conference Proceedings, Papers
Contrassegnato delurking, lurker analysis and mining, lurking, participation and engagement in social networks, targeted influence maximization
Commenti disabilitati su “Got to have faith!”: The DEvOTION algorithm for delurking in social networks @ASONAM15
Tutorial @ASONAM15: Principles, models, and methods for the characterization and analysis of lurkers in online social networks
Our latest tutorial on lurker analysis and mining, titled Principles, models, and methods for the characterization and analysis of lurkers in online social networks, has been presented at the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and … Continua a leggere
Pubblicato in Events, News
Contrassegnato delurking, lurker analysis and mining, lurker ranking, lurker trends and clustering, lurking, newcomers, silent users, targeted influence maximization
Commenti disabilitati su Tutorial @ASONAM15: Principles, models, and methods for the characterization and analysis of lurkers in online social networks
Tutorial @UMAP15: Understanding Silent Users’ Behavior in Large-scale Online Communities
Our first tutorial on lurker analysis and mining, titled Understanding Silent Users’ Behavior in Large-scale Online Communities, will be presented at the 23rd Conference on User Modeling, Adaptation and Personalization (UMAP’15), Dublin, Ireland, 29th June – 3rd July, 2015. Please … Continua a leggere
Pubblicato in Events, News
Contrassegnato lurker analysis and mining, lurker ranking, lurking
Commenti disabilitati su Tutorial @UMAP15: Understanding Silent Users’ Behavior in Large-scale Online Communities
[In Italiano]Articolo su IlSole24Ore “I lurker: tesoro nascosto della rete”
Un articolo di A. Carobene, apparso sull’inserto Nòva (specializzato su nuove tecnologie) del quotidiano nazionale Il Sole 24 Ore del 22 Febbraio 2015, è dedicato alla ricerca su lurking analysis condotta assieme a Roberto Interdonato. L’articolo è disponibile online.
Knowledge-Based Representation for Transductive Multilingual Document Classification @ECIR15
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.
Pubblicato in Conference Proceedings, News, Publications
Contrassegnato multilingual document classification, multilingual knowledge base, transductive learning
Commenti disabilitati su Knowledge-Based Representation for Transductive Multilingual Document Classification @ECIR15
Understanding Computer Usage Evolution @ICDE15
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.
Pubblicato in Conference Proceedings, News
Commenti disabilitati su Understanding Computer Usage Evolution @ICDE15
Lurking in Social Networks: Topology-based Analysis and Ranking Methods @SNAM
A. Tagarelli, R. Interdonato. Lurking in Social Networks: Topology-based Analysis and Ranking Methods. Social Network Analysis and Mining (SNAM), 4(1), 27 pages, 2014. PDF on arXiv
Pubblicato in Journals, News
Contrassegnato Alpha-Centrality, eigenvector centrality, Flickr, FriendFeed, Google Plus, lurker ranking, lurking, PageRank, social networks, twitter
Commenti disabilitati su Lurking in Social Networks: Topology-based Analysis and Ranking Methods @SNAM
Semantic-Based Multilingual Document Clustering via Tensor Modeling @EMNLP14
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
Pubblicato in Conference Proceedings, News
Contrassegnato document clustering, multi-view clustering, multilingual document clustering, tensor decomposition, text segmentation
Commenti disabilitati su Semantic-Based Multilingual Document Clustering via Tensor Modeling @EMNLP14
Be certain of how-to before mining uncertain data @PKDD14
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.
Pubblicato in Conference Proceedings, News
Contrassegnato uncertain cluster prototype, uncertain data
Commenti disabilitati su Be certain of how-to before mining uncertain data @PKDD14
Multi-relational PageRank for Tree Structure Sense Ranking @WWWJ
R. Interdonato, A. Tagarelli. Multi-relational PageRank for Tree Structure Sense Ranking. World Wide Web Journal (WWWJ), 1-29. Online First: July 30, 2014.
Pubblicato in Journals, News
Contrassegnato heterogeneous information networks, multi-relational ranking, structural sense ranking, Tree-structured data, Wikipedia
Commenti disabilitati su Multi-relational PageRank for Tree Structure Sense Ranking @WWWJ
Understanding Lurking Behaviors in Social Networks across Time @ASONAM14
A. Tagarelli, R. Interdonato. Understanding Lurking Behaviors in Social Networks across Time. The 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014). Beijing, China August 17-20, 2014.
Pubblicato in Conference Proceedings, News
Contrassegnato dynamic networks, Flickr, FriendFeed, Instagram, lurking, network analysis, social networks
Commenti disabilitati su Understanding Lurking Behaviors in Social Networks across Time @ASONAM14
Clustering View-Segmented Documents via Tensor Modeling @ISMIS14
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.
Pubblicato in Conference Proceedings, News
Contrassegnato document clustering, multi-view clustering, tensor decomposition, text segmentation
Commenti disabilitati su Clustering View-Segmented Documents via Tensor Modeling @ISMIS14
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.
Pubblicato in Journals, News
Contrassegnato association mining, tree mining, Tree-structured data
Commenti disabilitati su Evaluation of an associative classifier based on position-constrained frequent/closed subtree mining @JIIS
Co-organized Mini-Symposium: MultiClust at SIAM DM 2014
Andrea is Co-Organizer of the upcoming SIAM Data Mining Symposium on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (MultiClust)
Pubblicato in Events, News
Contrassegnato clustering, clustering ensembles, co-clustering, projective clustering
Commenti disabilitati su Co-organized Mini-Symposium: MultiClust at SIAM DM 2014
Ranking Vicarious Learners in Research Collaboration Networks
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
Pubblicato in Conference Proceedings, News
Contrassegnato collaboration networks, DBLP, lurking, ranking, vicariously learning
Commenti disabilitati su Ranking Vicarious Learners in Research Collaboration Networks
A Versatile Graph-Based Approach to Package Recommendation
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.
Pubblicato in Conference Proceedings, News
Contrassegnato collaborative recommendation, expert finding, package recommendation, Personalized PageRank, TripAdvisor
Commenti disabilitati su A Versatile Graph-Based Approach to Package Recommendation
Document Clustering: The Next Frontier
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
Pubblicato in Book Chapters, News
Contrassegnato document clustering, long documents, short documents, topic modeling
Commenti disabilitati su Document Clustering: The Next Frontier
Multi-relational PageRank for Tree Structure Sense Ranking
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.
Pubblicato in Conference Proceedings, News
Contrassegnato multi-relational ranking, PageRank, structural sense ranking, Tree-structured data, Wikipedia, word sense disambiguation
Commenti disabilitati su Multi-relational PageRank for Tree Structure Sense Ranking
Metacluster-based Projective Clustering Ensembles
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
Pubblicato in Journals, News
Contrassegnato clustering, clustering ensembles, dimensionality reduction, multi-view clustering, projective clustering, subspace clustering
Commenti disabilitati su Metacluster-based Projective Clustering Ensembles
”Who’s out there?” Identifying and Ranking Lurkers in Social Networks
A. Tagarelli, R. Interdonato. ”Who’s out there?” Identifying and Ranking Lurkers in Social Networks. The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), pp. 215-222. Niagara Falls, Canada, August 25-28, 2013. [Acceptance rate: 13%] … Continua a leggere
Pubblicato in Conference Proceedings, News
Contrassegnato Alpha-Centrality, FriendFeed, information networks, lurking, PageRank, ranking, social networks, twitter
Commenti disabilitati su ”Who’s out there?” Identifying and Ranking Lurkers in Social Networks
Co-organized Workshop: MultiClust Workshop at ACM SIGKDD 2013
Andrea is Co-Organizer of the upcoming ACM SIGKDD 2013 Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (MultiClust)
Pubblicato in Events, News
Contrassegnato alternative clustering, clustering, clustering ensembles, knowledge-driven clustering, multi-source clustering, subspace clustering
Commenti disabilitati su Co-organized Workshop: MultiClust Workshop at ACM SIGKDD 2013
Minimizing the variance of cluster mixture models for clustering uncertain objects
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.
Pubblicato in Journals, News
Contrassegnato clustering, uncertain cluster prototype, uncertain data
Commenti disabilitati su Minimizing the variance of cluster mixture models for clustering uncertain objects
A Tensor-based Clustering Approach for Multiple Document Classifications
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.
Pubblicato in Conference Proceedings, News
Contrassegnato document clustering, frequent itemset mining, multi-source clustering, tensor decomposition
Commenti disabilitati su A Tensor-based Clustering Approach for Multiple Document Classifications
A Segment-based Approach To Clustering Multi-Topic Documents
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.
Pubblicato in Journals, News
Contrassegnato document clustering, interdisciplinary documents, text segmentation, topic identification
Commenti disabilitati su A Segment-based Approach To Clustering Multi-Topic Documents