Published Papers

Published Papers

Year 1

  1. A Telecom Analytics Framework for Dynamic Quality of Service Management, Guadamillas, M.A. López, N. Maravitsas, A. Mozo and F. Pulvirenti, (First International Workshop in Big Data Applications and Principles, BIGDAP 2014, September, 2014, Madrid, Spain)  
  2.    A Survey on feature selection and reduction for network traffic characterization, B. Zhu and A. Mozo (First International Workshop in Big Data Applications and Principles, BIGDAP 2014, September, 2014, Madrid, Spain
  3. A.Bascuñana, F.Castro, D.Espadas, P.Sánchez, M.A Monjas. (2014)  “Adaptive Quality of Experience (AQoE) control for Telecom Networks”. Proceedings First international Workshop, BigDAP 14.Madrid, Spain, September 11-12 2014.
  4. P. Owezarski, "Unsupervised Classification and Characterization of Honeypot Attacks", International Conference on Network and System Management (CNSM’2014), Rio de Janeiro, Brazil, November 17-21, 2014
  5. P. Owezarski, P. Casas, J. Mazel, "Unsupervised detection of network attacks in the dark", 1st international workshop on big data applications and principles (BigDAP’2014), Madrid, Spain, September 11-12, 2014
  6. Misleading generalized itemset mining in the cloud. Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti. IEEE ISPA 2014, Milan, Italy, 26-27-28 August 2014
  7.   MGI-Cloud: discovery of misleading generalized itemsets. Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti. SEBD 2014, Castellammare di Stabia, Italy, 16-17-18 June 2014
  8.   Network traffic analysis by means of Misleading Generalized itemsets. Daniele Apiletti, Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti, BigDap 2014, Madrid, Spain

Year 2

  1. Elena Baralis, Luca Cagliero, Paolo Garza, Luigi Grimaudo “PaWI: Parallel Weighted Itemset Mining by Means of MapReduce”. IEEE International Congress on Big Data (BigData Congress), New York, NY, June 27-July 2, 2015, pp: 25-32, ISBN: 978-1-4673-7277-0,
  2.  Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, and Pietro Michiardi, “PaMPa-HD: a Parallel MapReduce-based frequent Pattern miner for High-Dimensional data”. IEEE International Conference on Data Mining (IEEE ICDM), 3rd International Workshop on High Dimensional Data Mining (HDM'15), November 14-17, Atlantic City (New Jersey, USA).
  3.  Daniele Apiletti, Paolo Garza, Fabio Pulvirenti, “A Review of Scalable Approaches for Frequent Itemset Mining”. 19th East-European Conference on Advances in Databases and Information Systems (ADBIS), 2nd International Workshop on Big Data Applications and Principles (BigDap 2015), September 8-11, 2015, Futuroscope, Poitiers, pp: 243-247.
  4.  Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini, “SaFe-NeC: a Scalable and Flexible system for Network data Characterization”. IEEE/IFIP Network Operations and Management Symposium (IEEE NOMS), Istanbul, Turkey, 25-29 April 2016.
  5. B. Ordozgoiti, S. Gomez, A. Mozo, “Parallelized Unsupervised Feature Selection for Large-Scale Network Traffic Analysis”. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ESSAN16, Bruges (Belgium), 27 - 29 April 2016. ESSAN is rated as Core B.
  6. B. Zhu, B. Ordozgoiti, A. Mozo, “PSCEG: An unbiased Parallel Subspace Clustering algorithm using Exact Grids”. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ESANN16, Bruges (Belgium), 27 - 29 April 2016. ESANN is rated as Core B.
  7. B. Ordozgoiti, S. Gomez, A. Mozo, “Massively Parallel Unsupervised Feature Selection on Spark”. 19th East-European Conference on Advances in Databases and Information Systems (ADBIS), 2nd International Workshop on Big Data Applications and Principles (BigDap 2015), September 8-11, 2015, Futuroscope, Poitiers. This work was selected as the best paper in BigDAP15.
  8. B. Zhu, A. Mara, A. Mozo , “CLUS: Parallel subspace clustering algorithm on Spark”. 19th East-European Conference on Advances in Databases and Information Systems (ADBIS), 2nd International Workshop on Big Data Applications and Principles (BigDap 2015), September 8-11, 2015, Futuroscope, Poitiers.
  9. B. Ordozgoiti, S. Gomez, A. Mozo, “NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios”. 19th East-European Conference on Advances in Databases and Information Systems (ADBIS), 2nd International Workshop on Big Data Applications and Principles (BigDap 2015), September 8-11, 2015, Futuroscope, Poitiers.
  10. Juliette Dromard, Gilles Roudière and Philippe Owezarski,“Unsupervised Network Anomaly Detection in Real-time on Big Data”. 19th East-European Conference on Advances in Databases and Information Systems (ADBIS), 2nd International Workshop on Big Data Applications and Principles (BigDap 2015), September 8-11, 2015, Futuroscope, Poitiers

Year 3

  1. Ordozgoiti, Bruno, Sandra Gómez Canaval, Alberto Mozo, "A Fast Iterative Algorithm for Improved Unsupervised Feature Selection". IEEE International Conference on Data Mining, 2016 (Core A*). This paper has been selected as one of the best ICDM-16 papers and we have been invited for possible publication in the journal Knowledge and Information Systems (Q2 indexed in ISI/JCR)
  2. Ordozgoiti, Bruno, Sandra Gómez Canaval, and Alberto Mozo, "Feature Ranking and Selection for Big Data Sets". 3rd International Workshop on Big Data Applications and Principles, BigDAP 2016, co-located with the 20th East-European Conference on Advances in Databases and Information Systems, ADBIS 2016. Springer International Publishing, 2016.
  3.  Zhu, Bo, and Alberto Mozo, "Spark2Fires: A New Parallel Approximate Subspace Clustering Algorithm". 3rd International Workshop on Big Data Applications and Principles, BigDAP 2016, co-located with the 20th East-European Conference on Advances in Databases and Information Systems, ADBIS 2016. Springer International Publishing, 2016.
  4. Ordozgoiti, Bruno, Alberto Mozo, Sandra Gómez Canaval, Udi Margolin, Elisha Rosensweig, Itai Segall, "Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure". ESANN 2017 (Core B).
  5. B. Ordozgoiti, S. Gomez Canaval, A. Mozo, “Probabilistic Leverage Scores for Parallel Unsupervised Feature Selection on Massive High-Dimensional Datasets”. 14th International Work-Conference on Artificial Neural Networks, IWANN 2017 (Core B).
  6. Apiletti, Baralis, Cerquitelli, Garza, Giordano, Mellia, Venturini, “SeLINA: a Self-Learning Insightful Network Analyzer”. IEEE Transactions On Network And Service Management (ISI/JCR Q2), vol. 13 n. 3, pp. 696-710, 2016.
  7. Apiletti, Baralis, Cerquitelli, Garza, Pulvirenti, “Frequent Itemsets Mining for Big Data: a comparative analysis”. Elsevier - Big Data Research (January 2017).  
  8. Apiletti, Baralis, Cerquitelli, Garza, Venturini, “SaFe-NeC: A scalable and flexible system for network data characterization”. 2016 IEEE/IFIP Network Operations and Management Symposium, NOMS 2016, Istanbul (Turkey), 2016. pp. 812-816
  9.  Ivanovic, Thalheim, Catania, Schewe, Kirikova, Saloun, Dahanayake, Cerquitelli, Baralis, Michiardi, “New Trends in Databases and Information Systems”. 3rd International Workshop on Big Data Applications and Principles, BigDAP 2016, co-located with the 20th East-European Conference on Advances in Databases and Information Systems, ADBIS 2016, Prague, Czech Republic, August 28-31, 2016, Proceedings. 
  10. Venturini, Garza, Apiletti, “BAC: A bagged associative classifier for big data frameworks”. 3rd International Workshop on Big Data Applications and Principles, BigDAP 2016, co-located with the 20th East-European Conference on Advances in Databases and Information Systems, ADBIS 2016, Prague, Czech Republic, August 28, 2016. pp. 137-146.   
  11. J. Dromard, G. Roudière, P. Owezarski, “Online and Scalable Unsupervised Network Anomaly Detection Method”. IEEE Transaction on Network and Service Management (ISI/JCR Q2), 2016.   
  12. M. A. López Peña, C. Area Rúa, S. Segovia, A “Fast Data” Architecture: Dashboard for Anomalous Traffic Analysis in Data Networks. IEEE 11th International Conference on Digital Information Management (ICDIM 2016), September 19-21, 2016, Porto (Portugal).

 

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BigDAP 2016

We are glad to announce the Third International Workshop on Big Data Application and Principles (BigDAP 2016), to be held 2016 August 28th, at Prague, Czech Republic.

Call for Papers: http://ict-ontic.eu/bigdap16/cfp.txt

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BigDAP 2015

We are glad to announce the Second International Workshop on Big Data Application and Principles (BigDAP 20145), to be held 2015 Sept. 8th, at Futuroscope, Poitiers, France.

Call for Papers: http://ict-ontic.eu/bigdap15/cfp.txt

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ONTIC Project press release by Polito

Polito has recently published a press release specifically for the ONTIC project on the December 8th 2014 edition of a leading Italian business newspaper, Il Sole 24 Ore, (www.ilsole24ore.it), which is the most widespread newspaper among decision makers and business people in Italy. The full page of the newspaper which includes the press release is available as a PDF file after the break. Future plans are to evaluate the outcomes of this press release and include the possibility of a new press release with updated results of the project.

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