Archivi categoria: Conference Proceedings
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.
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Contrassegnato delurking, game theory, Lurker Game, lurking, public goods game
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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.
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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
“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
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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
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.
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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.
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Commenti disabilitati su Understanding Computer Usage Evolution @ICDE15
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
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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.
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Contrassegnato uncertain cluster prototype, uncertain data
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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.
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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.
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Contrassegnato document clustering, multi-view clustering, tensor decomposition, text segmentation
Commenti disabilitati su Clustering View-Segmented Documents via Tensor Modeling @ISMIS14
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
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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.
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Contrassegnato collaborative recommendation, expert finding, package recommendation, Personalized PageRank, TripAdvisor
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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.
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Contrassegnato multi-relational ranking, PageRank, structural sense ranking, Tree-structured data, Wikipedia, word sense disambiguation
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”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
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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
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.
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Contrassegnato document clustering, frequent itemset mining, multi-source clustering, tensor decomposition
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Multiobjective Optimization of Co-Clustering Ensembles
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.
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Contrassegnato clustering, clustering ensembles, co-clustering, optimization
Commenti disabilitati su Multiobjective Optimization of Co-Clustering Ensembles
XML Document Clustering Using Structure-Preserving Flat Representation of XML Content and Structure
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
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Contrassegnato document clustering, XML, XML content clustering, XML flat representation, XML mining, XML structure clustering
Commenti disabilitati su XML Document Clustering Using Structure-Preserving Flat Representation of XML Content and Structure
A Statistical Model for Topically Segmented Documents
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
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Contrassegnato document clustering, hierarchical clustering, information-theoretic clustering, statistical topic modeling, text segmentation
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Overview of the INEX 2010 XML Mining Track: Clustering and Classification of XML Documents
C. M. De Vries, R. Nayak, S. Kutty, S. Geva, A. Tagarelli. Overview of the INEX 2010 XML Mining Track: Clustering and Classification of XML Documents. Ninth International Workshop on the Initiative for the Evaluation of XML Retrieval (INEX 2010), LNCS … Continua a leggere
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Contrassegnato document clustering, INEX, Wikipedia, XML, XML content clustering, XML mining, XML structure clustering
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Advancing Data Clustering via Projective Clustering Ensembles
F. Gullo, C. Domeniconi, A. Tagarelli. Advancing Data Clustering via Projective Clustering Ensembles. ACM International Conference on Management of Data (SIGMOD’11), pp. 733-744. Athens, Greece, June 12-16, 2011. PDF This paper has been awarded of the SIGMOD11 Repeatability/Workability Evaluation Test. SIGMOD has … Continua a leggere
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Contrassegnato clustering, clustering ensembles, optimization, projective clustering
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Enhancing Single-Objective Projective Clustering Ensembles
F. Gullo, C. Domeniconi, A. Tagarelli. Enhancing Single-Objective Projective Clustering Ensembles. 10th IEEE International Conference on Data Mining (ICDM ’10), pp. 833-838. Sydney, Australia, December 14-17, 2010. PDF
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Contrassegnato clustering, clustering ensembles, optimization, projective clustering
Commenti disabilitati su Enhancing Single-Objective Projective Clustering Ensembles
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. 10th IEEE International Conference on Data Mining (ICDM ’10), pp. 839-844. Sydney, Australia, December 14-17, 2010.
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Contrassegnato clustering, uncertain data, variance of mixture models
Commenti disabilitati su Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain Objects
Projective Clustering Ensembles
F. Gullo, C. Domeniconi, A. Tagarelli. Projective Clustering Ensembles. 9th IEEE International Conference on Data Mining (ICDM ’09), pp. 794-799. Miami, Florida, USA, December 6-9, 2009. PDF
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Contrassegnato clustering, clustering ensembles, optimization, projective clustering
Commenti disabilitati su Projective Clustering Ensembles
Collaborative XML Document Clustering
F. Gullo, G. Ponti, A. Tagarelli, S. Greco. Collaborative XML Document Clustering. 1th International Workshop on Distributed XML Processing. Vienna, Austria, September 22-25, 2009.
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Contrassegnato document clustering, P2P, XML, XML mining, XML structure clustering
Commenti disabilitati su Collaborative XML Document Clustering
Low-voltage Electricity Customer Profiling based on Load Data Clustering
F. Gullo, G. Ponti, A. Tagarelli, S. Iiritano, M. Ruffolo, D. Labate. Low-voltage Electricity Customer Profiling based on Load Data Clustering. 13th International Database Engineering and Applications Symposium (IDEAS ’09), pp. 330-333. Cetraro, Italy, September 16-18, 2009.
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Contrassegnato clustering, time series
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Topic-based Hard Clustering of Documents using Generative Models
G. Ponti, A. Tagarelli. Topic-based Hard Clustering of Documents using Generative Models. 18th International Symposium on Methodologies for Intelligent Systems (ISMIS ‘09), LNAI 5722, pp. 231-240. Prague, Czech Republic, September 14-17, 2009. inflatable bouncer
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Contrassegnato document clustering, document generative models, topic modeling
Commenti disabilitati su Topic-based Hard Clustering of Documents using Generative Models
Hierarchical Clustering of Microarray Data with Probe-level Uncertainty
F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri. Hierarchical Clustering of Microarray Data with Probe-level Uncertainty. 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS ’09). Albuquerque, New Mexico, USA, August 3-4, 2009. PDF
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Contrassegnato clustering, microarray, uncertain data
Commenti disabilitati su Hierarchical Clustering of Microarray Data with Probe-level Uncertainty
Information-Theoretic Hierarchical Clustering of Uncertain Data
F. Gullo, G. Ponti, A. Tagarelli, S. Greco. Information-Theoretic Hierarchical Clustering of Uncertain Data. 17th Italian Symposium on Advanced Database Systems (SEBD ’09), pp. 273-280. Camogli (Genova), Italy, June 21-24, 2009.
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Contrassegnato clustering, uncertain data
Commenti disabilitati su Information-Theoretic Hierarchical Clustering of Uncertain Data