Archivi tag: clustering

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 , , , | Commenti disabilitati su Co-organized Mini-Symposium: MultiClust at SIAM DM 2014

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 , , , , , | Commenti disabilitati su Metacluster-based Projective Clustering Ensembles

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 , , , , , | 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 , , | Commenti disabilitati su Minimizing the variance of cluster mixture models for clustering uncertain objects

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.

Pubblicato in Conference Proceedings, Publications | Contrassegnato , , , | Commenti disabilitati su Multiobjective Optimization of Co-Clustering Ensembles

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.

Pubblicato in Journals, News, Publications | Contrassegnato , , , | Commenti disabilitati su Projective Clustering Ensembles

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

Pubblicato in Journals, News | Contrassegnato , | Commenti disabilitati su Uncertain Centroid based Partitional Clustering of Uncertain Data

Co-organized Workshop: 3Clust Workshop at PAKDD 2012

Andrea is Co-Organizer of the upcoming PAKDD 2012 Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clust)

Pubblicato in Events, News | Contrassegnato , , , | Commenti disabilitati su Co-organized Workshop: 3Clust Workshop at PAKDD 2012

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

Pubblicato in Journals, News | Contrassegnato , , , , | Commenti disabilitati su A Time Series Approach for Clustering Mass Spectrometry Data

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 , , , , , , , , | Commenti disabilitati su Edited Book: XML Data Mining

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 , , , | Commenti disabilitati su Advancing Data Clustering via Projective Clustering Ensembles

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

Pubblicato in Conference Proceedings, News | Contrassegnato , , , | 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.

Pubblicato in Conference Proceedings | Contrassegnato , , | 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

Pubblicato in Conference Proceedings | Contrassegnato , , , | Commenti disabilitati su Projective Clustering Ensembles

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.

Pubblicato in Journals | Contrassegnato , , , , | Commenti disabilitati su A Time Series Representation Model for Accurate and Fast Similarity Detection

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.

Pubblicato in Conference Proceedings | Contrassegnato , | Commenti disabilitati su Low-voltage Electricity Customer Profiling based on Load Data Clustering

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

Pubblicato in Conference Proceedings | Contrassegnato , , | 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.

Pubblicato in Conference Proceedings | Contrassegnato , | 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.

Pubblicato in Conference Proceedings | Contrassegnato , | Commenti disabilitati su Diversity-based Weighting Schemes for Clustering Ensembles

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.

Pubblicato in Journals | Contrassegnato , , , | Commenti disabilitati su MaSDA: A System for Analyzing Mass Spectrometry Data

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.

Pubblicato in Conference Proceedings | Contrassegnato , , , | Commenti disabilitati su A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach

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.

Pubblicato in Conference Proceedings | Contrassegnato , , | Commenti disabilitati su Clustering Uncertain Data Via K-Medoids

A Time Series Based Approach for Classifying Mass Spectrometry Data

F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri. A Time Series Based Approach for Classifying Mass Spectrometry Data. 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS ’07), pp. 412-420. Maribor, Slovenia, June 20-22, 2007.

Pubblicato in Conference Proceedings | Contrassegnato , , , | Commenti disabilitati su A Time Series Based Approach for Classifying Mass Spectrometry Data

Mining scientific results through the combined use of clustering and linear programming techniques

A. Tagarelli, I. Trubitsyna, S. Greco. Mining scientific results through the combined use of clustering and linear programming techniques. 6th International Conference on Enterprise Information Systems (ICEIS ’04), vol. 2, pp. 84-91. Porto, Portugal, April 14-17, 2004.

Pubblicato in Conference Proceedings | Contrassegnato , , | Commenti disabilitati su Mining scientific results through the combined use of clustering and linear programming techniques

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.

Pubblicato in Journals | Contrassegnato , , | Commenti disabilitati su Combining Linear Programming and Clustering Techniques for the Classification of Research Centers

Mining Scientific Results to Measure the Efficiency of Research Centers

A. Tagarelli, I. Trubitsyna, A. Mecchia, T. Mostardi, R. Pupo. Mining Scientific Results to Measure the Efficiency of Research Centers. 11th Italian Symposium on Advanced Database Systems (SEBD ’03), pp. 147-160. Cetraro, Italy, June 2003.

Pubblicato in Conference Proceedings | Contrassegnato , | Commenti disabilitati su Mining Scientific Results to Measure the Efficiency of Research Centers