Archivi categoria: Publications
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
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Contrassegnato 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. … Continua a leggere
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Contrassegnato 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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Contrassegnato document clustering, P2P, XML, XML content clustering, XML mining, XML structure clustering
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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
Pubblicato in Conference Proceedings, News
Contrassegnato document clustering, INEX, Wikipedia, XML, XML content clustering, XML mining, XML structure clustering
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Edited Book: XML Data Mining
Andrea is Editor of the upcoming book “XML Data Mining: Models, Methods, and Applications”, IGI Global, 538 pages. Copyright 2012. Release date: November 2011. Publisher’s book page Book Brochure Book Brochure with TOC
Pubblicato in Books, News
Contrassegnato association rule extraction, classification, clustering, document clustering, frequent pattern discovery, Semantic Web, 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
Pubblicato in Conference Proceedings, News
Contrassegnato clustering, clustering ensembles, optimization, projective 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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Contrassegnato information extraction, schema extraction, web wrapping, wrapper generalization, XML
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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
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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.
Pubblicato in Conference Proceedings
Contrassegnato clustering, uncertain data, variance of mixture models
Commenti disabilitati su Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain Objects
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. inflatable finish line arch Support page for submission
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Contrassegnato fuzzy logics, information extraction, PDF documents, wrapping
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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
Pubblicato in Conference Proceedings
Contrassegnato clustering, clustering ensembles, optimization, projective clustering
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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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Contrassegnato classification, clustering, DSA, similarity detection, time series
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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.
Pubblicato in Conference Proceedings
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
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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
Diversity-based Weighting Schemes for Clustering Ensembles
F. Gullo, A. Tagarelli, S. Greco. Diversity-based Weighting Schemes for Clustering Ensembles. 9th SIAM International Conference on Data Mining (SDM ’09), pp. 437-448. Sparks, Nevada, USA, April 30-May 2, 2009.
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Contrassegnato clustering, clustering ensembles
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The Scent of a Newsgroup – Providing Personalized Access to Usenet News through Web Mining
G. Manco, R. Ortale, A. Tagarelli. The Scent of a Newsgroup – Providing Personalized Access to Usenet News through Web Mining. In book: Handbook of Research on Text and Web Mining Technologies (2-vols), chap. XXXIV, pp. 393-414. Edited by M. Song and … Continua a leggere
Pubblicato in Book Chapters
Contrassegnato link analysis, web content mining, web personalization, web structure mining
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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.
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Contrassegnato clustering, DSA, mass spectrometry, time series
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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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A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach
F. Gullo, G. Ponti, A. Tagarelli, S. Greco. A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach. 8th IEEE International Conference on Data Mining (ICDM ’08), pp. 821-826. Pisa, Italy, December 15-19, 2008.
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Contrassegnato clustering, hierarchical clustering, information-theoretic clustering, uncertain data
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Clustering Uncertain Data Via K-Medoids
F. Gullo, G. Ponti, A. Tagarelli. Clustering Uncertain Data Via K-Medoids. 2nd International Conference on Scalable Uncertainty Management (SUM ’08), pp. 229-242, LNAI 5291. Naples, Italy, October 1-3, 2008.
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Contrassegnato clustering, medoids, uncertain data
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MSPtool: A versatile tool for Mass Spectrometry Data Preprocessing
F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri. MSPtool: A versatile tool for Mass Spectrometry Data Preprocessing. 21th IEEE International Symposium on Computer-Based Medical Systems (CBMS ’08), pp. 209-214. Jyväskylä, Finland, June 17-19, 2008.
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Contrassegnato mass spectrometry, time series
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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. Workshop on Text Mining, in conjunction with the 8th SIAM International Conference on Data Mining (SDM ’08). Atlanta, Georgia, USA, April 24-26, 2008.
Pubblicato in Conference Proceedings
Contrassegnato document clustering
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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.
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Contrassegnato document clustering, email mining, frequent pattern discovery
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A Wrapper Generation System for PDF Documents
B. Fazzinga, S. Flesca, S. Garruzzo, E. Masciari, A. Tagarelli. A Wrapper Generation System for PDF Documents. 23rd ACM Symposium on Applied Computing (SAC ’08), pp. 442-446. Fortaleza, Brazil, March 16-20, 2008.
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Contrassegnato information extraction, PDF documents, wrapping
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