News & Highlights
- Co-organized Workshop: MultiClust Workshop at ACM SIGKDD 2013
- Minimizing the variance of cluster mixture models for clustering uncertain objects
- A Segment-based Approach To Clustering Multi-Topic Documents
- Exploring Dictionary-based Semantic Relatedness in Labeled Tree Data
- Projective Clustering Ensembles
- Uncertain Centroid based Partitional Clustering of Uncertain Data
- XML Document Clustering Using Structure-Preserving Flat Representation of XML Content and Structure
- Co-organized Workshop: 3Clust Workshop at PAKDD 2012
- A Statistical Model for Topically Segmented Documents
- SIGIR Report on INEX 2010
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classification clustering clustering ensembles document clustering DSA email mining fuzzy logics information extraction linear programming mass spectrometry optimization PDF documents projective clustering semantic relatedness similarity detection time series uncertain data web content mining web personalization web usage mining web wrapping WordNet word sense disambiguation wrapping XML XML content clustering XML mining XML structure clustering
Category Archives: Journals
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.
Posted in Journals, News
Tagged clustering, uncertain cluster prototype, uncertain data
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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.
Projective Clustering Ensembles
F. Gullo, C. Domeniconi, A. Tagarelli. Projective Clustering Ensembles. Data Mining and Knowledge Discovery (DAMI), Accepted April 3, 2012, Online First: May 3, 2012.
Posted in Journals, News, Publications
Tagged clustering, clustering ensembles, optimization, projective clustering
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Uncertain Centroid based Partitional Clustering of Uncertain Data
F. Gullo, A. Tagarelli. Uncertain Centroid based Partitional Clustering of Uncertain Data. Proceedings of the VLDB Endowment (ACM), 5(7):610-621, 2012. PDF
A Time Series Approach for Clustering Mass Spectrometry Data
F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri. A Time Series Approach for Clustering Mass Spectrometry Data. Journal of Computational Science, 3:344-355, 2012. Accepted for publication: June 30, 2011. Available on-line: July 12, 2011
Posted in Journals, News
Tagged clinical data, clustering, mass spectrometry, proteomics, time series
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SIGIR Report on INEX 2010
D. Alexander, P. Arvola, T. Beckers, P. Bellot, T. Chappell, C. M. DeVries, A. Doucet, N. Fuhr, S. Geva, J. Kamps, G. Kazai, M. Koolen, S. Kutty, M. Landoni, V. Moriceau, R. Nayak, R. Nordlie, N. Pharo, E. SanJuan, R. … Continue reading
Posted in Journals, News
Tagged INEX, XML content clustering, XML mining, XML structure clustering
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Collaborative Clustering of XML Documents
S. Greco, F. Gullo, G. Ponti, A. Tagarelli. Collaborative Clustering of XML Documents. Journal of Computer and System Sciences 77:988-1008, 2011. PDF
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Tagged document clustering, P2P, XML, XML content clustering, XML mining, XML structure clustering
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Schema-based Web Wrapping
B. Fazzinga, S. Flesca, A. Tagarelli. Schema-based Web Wrapping. Knowledge and Information Systems, 26(1):127-173, 2011.
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Tagged information extraction, schema extraction, web wrapping, wrapper generalization, XML
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A Fuzzy Logic Approach to Wrapping PDF Documents
S. Flesca, E. Masciari, A. Tagarelli. A Fuzzy Logic Approach to Wrapping PDF Documents. IEEE Transactions on Knowledge and Data Engineering, 23(12):1826-1841, 2011. Support page for submission
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Tagged fuzzy logics, information extraction, PDF documents, wrapping
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A Time Series Representation Model for Accurate and Fast Similarity Detection
F. Gullo, G. Ponti, A. Tagarelli, S. Greco. A Time Series Representation Model for Accurate and Fast Similarity Detection. Pattern Recognition 42(11):2998-3014, 2009.
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Tagged classification, clustering, DSA, similarity detection, time series
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MaSDA: A System for Analyzing Mass Spectrometry Data
F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri. MaSDA: A System for Analyzing Mass Spectrometry Data. Computer Methods and Programs in Biomedicine 95(2):S12-21, 2009.
Beneficial effects of iodized salt prophylaxis on thyroid volume in an iodine deficient area of Southern Italy
D. Bonofiglio, S. Catalano, A. Perri, M. P. Baldini, S. Marsico, A. Tagarelli, D. Conforti, R. Guido, S. Ando’. Beneficial effects of iodized salt prophylaxis on thyroid volume in an iodine deficient area of Southern Italy. Clinical Endocrinology 71:124-129, 2009.
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Mining Categories for Emails via Clustering and Pattern Discovery
G. Manco, E. Masciari, A. Tagarelli. Mining Categories for Emails via Clustering and Pattern Discovery. Journal of Intelligent Information Systems 30(2):153-181, 2008.
Posted in Journals
Tagged document clustering, email mining, frequent pattern discovery
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Mining User Preferences, Page Content and Usage to Personalize Website Navigation
S. Flesca , S. Greco, A. Tagarelli, E. Zumpano. Mining User Preferences, Page Content and Usage to Personalize Website Navigation. World Wide Web: Internet and Web Information Systems 8(3):317-345, 2005.
Web Wrapper Induction: A Brief Survey
S. Flesca, G. Manco, E. Masciari, E. Rende, A. Tagarelli. Web Wrapper Induction: A Brief Survey. The European Journal on Artificial Intelligence, AI Communications 17(2):57-61, 2004.
Combining Linear Programming and Clustering Techniques for the Classification of Research Centers
A. Tagarelli, I. Trubitsyna, S. Greco. Combining Linear Programming and Clustering Techniques for the Classification of Research Centers. The European Journal on Artificial Intelligence, AI Communications 17(3):111-122, 2004.