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ORCIDAlfredo Cuzzocrea
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- affiliation: University of Calabria, Cosenza, Italy
- affiliation: University of Lorraine, Nancy, France
- affiliation: University of Trieste, Italy
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2020 – today
- 2021
[j79]Alfredo Cuzzocrea, Giovanni Pilato:
A composite framework for supporting user emotion detection based on intelligent taxonomy handling. Log. J. IGPL 29(2): 207-219 (2021)- [c393]Isabelle M. Anderson-Grégoire, Kaitlyn A. Horner, Carson K. Leung, Delica S. Leboe-McGowan, Anifat M. Olawoyin, Beni Reydman, Alfredo Cuzzocrea:
A Big Data Science Solution for Analytics on Moving Objects. AINA (2) 2021: 133-145 - [c392]Alfredo Cuzzocrea, Luca Camilotti, Enzo Mumolo:
An Innovative Monocular Mobile Object Self-localization Approach Based on Ceiling Vision. AINA (1) 2021: 713-730 - [c391]Alfredo Cuzzocrea:
Big Data Lakes: Models, Frameworks, and Techniques. BigComp 2021: 1-4 - 2020
- [j78]Alfredo Cuzzocrea
, Enzo Mumolo, Giorgio Mario Grasso:
An Effective and Efficient Genetic-Fuzzy Algorithm for Supporting Advanced Human-Machine Interfaces in Big Data Settings. Algorithms 13(1): 13 (2020) - [j77]Rocco Langone, Alfredo Cuzzocrea, Nikolaos Skantzos:
Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools. Data Knowl. Eng. 130: 101850 (2020) - [j76]Alfredo Cuzzocrea, Timos Sellis:
Extending Big Data Management via Semantics: Recent Innovations. Inf. Syst. 88 (2020) - [j75]Agnese Augello, Angelo Ciulla, Alfredo Cuzzocrea, Salvatore Gaglio, Giovanni Pilato, Filippo Vella:
An Innovative System for Supporting Acquisition and Reproduction of Gestures in Storytelling Humanoid Robots. J. Vis. Lang. Comput. 2020(1): 17-26 (2020) - [j74]Alfredo Cuzzocrea, Enzo Mumolo:
An Effective and Efficient Machine-Learning-Based Framework for Supporting Event Detection and Analysis in Complex Environments. J. Vis. Lang. Comput. 2020(1): 37-45 (2020) - [j73]Hamda Al-Ali, Alfredo Cuzzocrea, Ernesto Damiani, Rabeb Mizouni, Ghalia Tello:
A composite machine-learning-based framework for supporting low-level event logs to high-level business process model activities mappings enhanced by flexible BPMN model translation. Soft Comput. 24(10): 7557-7578 (2020) - [j72]Alfredo Cuzzocrea, Giovanni Pilato:
An innovative user-attentive framework for supporting real-time detection and mining of streaming microblog posts. Soft Comput. 24(13): 9663-9682 (2020) - [j71]Alfredo Cuzzocrea, Nickerson Ferreira, Pedro Furtado:
A rewrite/merge approach for supporting real-time data warehousing via lightweight data integration. J. Supercomput. 76(5): 3898-3922 (2020) - [c390]Joglas Souza, Carson K. Leung, Alfredo Cuzzocrea:
An Innovative Big Data Predictive Analytics Framework over Hybrid Big Data Sources with an Application for Disease Analytics. AINA 2020: 669-680 - [c389]Rocco Langone, Alfredo Cuzzocrea, Nikolaos Skantzos:
A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments. AINA 2020: 693-702 - [c388]Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, Sheikh Iqbal Ahamed, Sweta Sneha, Mohammad Ashiqur Rahman, Alfredo Cuzzocrea:
Actionable Knowledge Extraction Framework for COVID-19. IEEE BigData 2020: 4036-4041 - [c387]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Preserving Privacy of Temporal Big Data. IEEE BigData 2020: 4042-4051 - [c386]Oxana Korzh, Ashish Sharma, Mikel Joaristi, Edoardo Serra, Alfredo Cuzzocrea:
An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning. IEEE BigData 2020: 5098-5107 - [c385]Carson K. Leung, Yubo Chen, Calvin S. H. Hoi, Siyuan Shang, Alfredo Cuzzocrea:
Machine Learning and OLAP on Big COVID-19 Data. IEEE BigData 2020: 5118-5127 - [c384]Arjun Pandya, Oluwatobiloba Odunsi, Chen Liu, Alfredo Cuzzocrea, Jianwu Wang:
Adaptive and Efficient Streaming Time Series Forecasting with Lambda Architecture and Spark. IEEE BigData 2020: 5182-5190 - [c383]Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea:
Large-scale Sparse Structural Node Representation. IEEE BigData 2020: 5247-5253 - [c382]Alfredo Cuzzocrea, Vincenzo De Maio, Edoardo Fadda:
Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences. COMPSAC 2020: 1344-1350 - [c381]Alfredo Cuzzocrea:
Advanced, Privacy-Preserving and Approximate Big Data Management and Analytics in Distributed Environments: What is Now and What is Next. COMPSAC 2020: 1564-1568 - [c380]Enzo Mumolo, Edoardo Fadda, Marco Tessarotto, Alfredo Cuzzocrea:
Supporting Cyber Attack Detection via Non-Linear Analytic Prediction of IP Addresses: A Big Data Analytics Technique. DMSVIVA 2020: 28-33 - [c379]Alfredo Cuzzocrea, Giovanni Pilato:
Towards an Intelligent System for Supporting Gesture Acquisition and Reproduction in Humanoid Robots (S). DMSVIVA 2020: 82-86 - [c378]Carson K. Leung, Jonathan D. Elias, Shael M. Minuk, A. Roy R. de Jesus, Alfredo Cuzzocrea:
An Innovative Fuzzy Logic-Based Machine Learning Algorithm for Supporting Predictive Analytics on Big Transportation Data. FUZZ-IEEE 2020: 1-8 - [c377]Agnese Augello, Angelo Ciulla, Alfredo Cuzzocrea, Salvatore Gaglio, Giovanni Pilato, Filippo Vella:
A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots. ICCSA (1) 2020: 967-977 - [c376]Alfredo Cuzzocrea, Enzo Mumolo, Edoardo Fadda, Marco Tessarotto:
A Novel Big Data Analytics Approach for Supporting Cyber Attack Detection via Non-linear Analytic Prediction of IP Addresses. ICCSA (1) 2020: 978-991 - [c375]Milos Ajcevic, Aleksandar Miladinovic, Giulia Silveri, Giovanni Furlanis, Tommaso Cillotto, Alex Buoite Stella, Paola Caruso, Maja Ukmar, Marcello Naccarato, Alfredo Cuzzocrea, Paolo Manganotti, Agostino Accardo:
A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients. ICCSA (1) 2020: 992-1002 - [c374]Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea:
The IEEE ICDM 2020 Workshops. ICDM (Workshops) 2020: 26-29 - [c373]Alfredo Cuzzocrea:
Scalable Distributed Pivot Analysis over Massive Big Data: Models, Paradigms, New Advancements. ICDM (Workshops) 2020: 696-700 - [c372]Alfredo Cuzzocrea, Carlo Zaniolo:
Message from the ICDM 2020 General Chairs. ICDM (Workshops) 2020: xxi - [c371]Carson K. Leung, Daryl L. X. Fung, Saad B. Mushtaq, Owen T. Leduchowski, Robert Luc Bouchard, Hui Jin, Alfredo Cuzzocrea, Christine Y. Zhang:
Data science for healthcare predictive analytics. IDEAS 2020: 8:1-8:10 - [c370]Teresa Alcamo, Alfredo Cuzzocrea, Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora. iiWAS 2020: 91-96 - [c369]Carson K. Leung, Yubo Chen, Calvin S. H. Hoi, Siyuan Shang, Yan Wen, Alfredo Cuzzocrea:
Big Data Visualization and Visual Analytics of COVID-19 Data. IV 2020: 415-420 - [c368]Carlos Ordonez, Zhibo Chen, Alfredo Cuzzocrea, Javier García-García:
An Intelligent Visual Big Data Analytics Framework for Supporting Interactive Exploration and Visualization of Big OLAP Cubes. IV 2020: 421-427 - [c367]Alfredo Cuzzocrea, Francesco Mercaldo, Fabio Martinelli:
A Deep-Learning-Based Framework for Supporting Analysis and Detection of Attacks on CAN Buses. KES 2020: 2999-3008 - [c366]Paul Patrick F. Balbin, Jackson C. R. Barker, Carson K. Leung, Marvin Tran, Riley P. Wall, Alfredo Cuzzocrea:
Predictive analytics on open big data for supporting smart transportation services. KES 2020: 3009-3018 - [c365]Alfredo Cuzzocrea:
SPPOLAP: Computing Privacy-Preserving OLAP Data Cubes Effectively and Efficiently Algorithms, Complexity Analysis and Experimental Evaluation. KES 2020: 3831-3842 - [c364]Alfredo Cuzzocrea, Edoardo Fadda:
Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework. MEDES 2020: 115-123 - [c363]Alfredo Cuzzocrea, Giovanni Pilato, Edoardo Fadda:
User Emotion Detection via Taxonomy Management: An Innovative System. SEBD 2020: 334-342 - [c362]Alfredo Cuzzocrea:
Multidimensional Clustering over Big Data: Models, Issues, Analysis, Emerging Trends. SSDBM 2020: 32:1-32:6 - [e41]Wookey Lee, Luonan Chen, Yang-Sae Moon, Julien Bourgeois, Mehdi Bennis, Yu-Feng Li, Young-Guk Ha, Hyuk-Yoon Kwon, Alfredo Cuzzocrea:
2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020, Busan, Korea (South), February 19-22, 2020. IEEE 2020, ISBN 978-1-7281-6034-4 [contents] - [e40]Claudia Plant, Haixun Wang, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu:
20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020. IEEE 2020, ISBN 978-1-7281-8316-9 [contents] - [e39]Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu:
20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020. IEEE 2020, ISBN 978-1-7281-9012-9 [contents]
2010 – 2019
- 2019
- [j70]Xiuzhen Zhang, Shuliang Wang, Gao Cong, Alfredo Cuzzocrea:
Social Big Data: Mining, Applications, and Beyond. Complex. 2019: 2059075:1-2059075:2 (2019) - [j69]Alfredo Cuzzocrea, Giorgio Mario Grasso, Massimiliano Nolich:
Effective and efficient distributed management of big clinical data: a framework. Int. J. Data Min. Model. Manag. 11(3): 284-313 (2019) - [j68]Marwan Hassani, Daniel Töws, Alfredo Cuzzocrea, Thomas Seidl:
BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams. Int. J. Data Sci. Anal. 8(3): 223-239 (2019) - [j67]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events. Inf. Syst. 81: 236-266 (2019) - [j66]Alfredo Cuzzocrea, Enzo Mumolo:
A novel GPU-aware Histogram-based algorithm for supporting moving object segmentation in big-data-based IoT application scenarios. Inf. Sci. 496: 592-612 (2019) - [j65]Alfredo Cuzzocrea:
Big data intelligence. J. Ambient Intell. Humaniz. Comput. 10(9): 3325-3327 (2019) - [j64]Alfredo Cuzzocrea, Mohamed Medhat Gaber, Edoardo Fadda, Giorgio Mario Grasso:
An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis. J. Ambient Intell. Humaniz. Comput. 10(9): 3383-3398 (2019) - [j63]Carson K. Leung, Peter Braun, Alfredo Cuzzocrea:
AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning. Sensors 19(6): 1345 (2019) - [c361]Bryan H. Wodi, Carson K. Leung, Alfredo Cuzzocrea, S. Sourav:
Fast Privacy-Preserving Keyword Search on Encrypted Outsourced Data. IEEE BigData 2019: 1-10 - [c360]Carson K. Leung, Alfredo Cuzzocrea, Jiaxing Jason Mai, Deyu Deng, Fan Jiang:
Personalized DeepInf: Enhanced Social Influence Prediction with Deep Learning and Transfer Learning. IEEE BigData 2019: 2871-2880 - [c359]Rashid Zaman, Alfredo Cuzzocrea, Marwan Hassani:
An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes. IEEE BigData 2019: 2982-2991 - [c358]Mikel Joaristi, Arthur Putnam, Alfredo Cuzzocrea, Edoardo Serra:
RIBS: Risky Blind-Spots for Attack Classification Models. IEEE BigData 2019: 5773-5779 - [c357]Hossain Shahriar, Miahcel Whitman, Dan Chia-Tien Lo, Fan Wu, Cassandra Thomas, Alfredo Cuzzocrea:
Experiential Learning: Case Study-Based Portable Hands-on Regression Labware for Cyber Fraud Prediction. IEEE BigData 2019: 5814-5818 - [c356]Alfredo Cuzzocrea:
Effective and Efficient Big Data Management in Distributed Environments: Models, Issues, and Research Perspectives. CCGRID 2019: 556-560 - [c355]Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza, Syed Khairuzzaman Tanbeer:
Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives. CCGRID 2019: 584-591 - [c354]Abdul-Rasheed A. Audu, Alfredo Cuzzocrea, Carson K. Leung, Keaton A. MacLeod, Nibrasul I. Ohin, Nadège C. Pulgar-Vidal:
An Intelligent Predictive Analytics System for Transportation Analytics on Open Data Towards the Development of a Smart City. CISIS 2019: 224-236 - [c353]Alfredo Cuzzocrea, Ernesto Damiani:
Making the Pedigree to Your Big Data Repository: Innovative Methods, Solutions, and Algorithms for Supporting Big Data Privacy in Distributed Settings via Data-Driven Paradigms. COMPSAC (2) 2019: 508-516 - [c352]Alfredo Cuzzocrea, Enzo Mumolo, Marco Tessarotto:
Towards An Effective and Efficient Machine-Learning-Based Framework for Supporting Event Detection in Complex Environments. COMPSAC (1) 2019: 685-689 - [c351]Carson K. Leung, Peter Braun, Calvin S. H. Hoi, Joglas Souza, Alfredo Cuzzocrea:
Urban Analytics of Big Transportation Data for Supporting Smart Cities. DaWaK 2019: 24-33 - [c350]Alfredo Cuzzocrea, Enzo Mumolo:
Event Detection in Complex Environments: An Effective and Efficient Machine-Learning-Based Framework (S). DMSVIVA 2019: 103-124 - [c349]Alfredo Cuzzocrea, Sergio Greco:
Flexible Querying and Analytics for Smart Cities and Smart Societies in the Age of Big Data: Overview of the FQAS 2019 International Conference. FQAS 2019: 25-28 - [c348]Seokjin Ahn, Stéfan V. Couture, Alfredo Cuzzocrea, Kevin Dam, Giorgio Mario Grasso, Carson K. Leung, Kaleigh L. McCormick, Bryan H. Wodi:
A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments. FUZZ-IEEE 2019: 1-6 - [c347]Bryan H. Wodi, Carson K. Leung, Alfredo Cuzzocrea, S. Sourav:
Fast privacy-preserving keyword search on encrypted outsourced data. ICC Workshops 2019: 1-10 - [c346]Alfredo Cuzzocrea, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì:
Querying and Learning OSN Graphs for Advanced Viral Marketing Applications. ICCBDC 2019: 117-121 - [c345]Alfredo Cuzzocrea, Massimiliano Nolich, Walter Ukovich:
A Big-Data-Analytics System for Supporting Decision Making Processes in Complex Smart-City Applications. ICCSA (1) 2019: 787-802 - [c344]Alfredo Cuzzocrea:
Management and Analytics of Big Data Sources in Intelligent Smart Environments: Where We Are and Where We Are Going. ICDM Workshops 2019: 567-572 - [c343]Alfredo Cuzzocrea, Salvatore Cavalieri, Orazio Tomarchio, Giuseppe Di Modica, Concetta Cantone, Angela Di Bilio:
REMS.PA: A Complex Framework for Supporting OLAP-based Big Data Analytics over Data-intensive Business Processes. ICEIS (1) 2019: 223-230 - [c342]Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo:
An Innovative Framework for Supporting Social Network Polluting-content Detection and Analysis. ICEIS (2) 2019: 303-311 - [c341]Deyu Deng, Jiaxing Jason Mai, Carson K. Leung, Alfredo Cuzzocrea:
Cognitive-Based Hybrid Collaborative Filtering with Rating Scaling on Entropy to Defend Shilling Influence. ICNCC 2019: 176-185 - [c340]Alfredo Cuzzocrea, Enzo Mumolo, Carson K. Leung, Giorgio Mario Grasso:
An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments. IDEAL (2) 2019: 225-237 - [c339]Alfredo Cuzzocrea, Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
Multi-class Text Complexity Evaluation via Deep Neural Networks. IDEAL (2) 2019: 313-322 - [c338]Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo:
A machine-learning framework for supporting intelligent web-phishing detection and analysis. IDEAS 2019: 43:1-43:3 - [c337]Alfredo Cuzzocrea:
Big Data Management and Analytics in Intelligent Smart Environments: State-of-the-Art Analysis and Future Research Directions. iiWAS 2019: 5-7 - [c336]Sehaj Pal Singh, Carson K. Leung, Fan Jiang, Alfredo Cuzzocrea:
A Theoretical Approach to Discover Mutual Friendships from Social Graph Networks. iiWAS 2019: 212-221 - [c335]Federica De Dea, Milos Ajcevic, Matteo Stecca, Caterina Zanus, Marco Carrozzi, Alfredo Cuzzocrea, Agostino Accardo:
A Big-Data-Analytics Framework for Supporting Classification of ADHD and Healthy Children via Principal Component Analysis of EEG Sleep Spindles Power Spectra. KES 2019: 1584-1590 - [c334]Alfredo Cuzzocrea, Massimiliano Nolich, Walter Ukovich:
A Big-Data-Analytics Framework for Supporting Logistics Problems in Smart-City Environments. KES 2019: 2589-2597 - [c333]Ricardo Baeza-Yates, Alfredo Cuzzocrea, Domenico Crea, Giovanni Lo Bianco:
An effective and efficient algorithm for ranking web documents via genetic programming. SAC 2019: 1065-1072 - [c332]Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì, Alfredo Cuzzocrea:
Querying Influence Graphs over Online Social Networks Effectively and Efficiently. SEBD 2019 - [c331]Alfredo Cuzzocrea, Assaf Schuster, Gianni Vercelli, Massimiliano Nolich:
Privacy-Preserving OLAP-Based Monitoring of Data Streams: The PP-OMDS Approach. SEBD 2019 - [p8]Alfredo Cuzzocrea, Enzo Mumolo, Gianni Vercelli:
An HMM-Based Framework for Supporting Accurate Classification of Music Datasets. Intelligent Methods and Big Data in Industrial Applications 2019: 277-289 - [e38]Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, October 22, 2018. CEUR Workshop Proceedings 2482, CEUR-WS.org 2019 [contents] - [e37]Alfredo Cuzzocrea, Sergio Greco, Henrik Legind Larsen, Domenico Saccà, Troels Andreasen, Henning Christiansen:
Flexible Query Answering Systems - 13th International Conference, FQAS 2019, Amantea, Italy, July 2-5, 2019, Proceedings. Lecture Notes in Computer Science 11529, Springer 2019, ISBN 978-3-030-27628-7 [contents] - 2018
- [j62]Mirko Mariotti, Osvaldo Gervasi, Flavio Vella, Alfredo Cuzzocrea, Alessandro Costantini:
Strategies and systems towards grids and clouds integration: A DBMS-based solution. Future Gener. Comput. Syst. 88: 718-729 (2018) - [j61]Smrithy G. S, Alfredo Cuzzocrea, Ramadoss Balakrishnan:
Detecting Insider Malicious Activities in Cloud Collaboration Systems. Fundam. Informaticae 161(3): 299-316 (2018) - [j60]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Deviance-Aware Discovery of High-Quality Process Models. Int. J. Artif. Intell. Tools 27(7): 1860009:1-1860009:27 (2018) - [j59]Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo, Giorgio Mario Grasso:
Experimenting and assessing machine learning tools for detecting and analyzing malicious behaviors in complex environments. J. Reliab. Intell. Environ. 4(4): 225-245 (2018) - [j58]Alfredo Cuzzocrea, Enzo Mumolo, Giorgio Mario Grasso:
Advanced pattern recognition from complex environments: a classification-based approach. Soft Comput. 22(14): 4763-4778 (2018) - [j57]Leonardo Andrade Ribeiro, Alfredo Cuzzocrea, Karen Aline Alves Bezerra, Ben Hur Bahia do Nascimento:
SjClust: A Framework for Incorporating Clustering into Set Similarity Join Algorithms. Trans. Large Scale Data Knowl. Centered Syst. 38: 89-118 (2018) - [c330]Diego Junior do Carmo Oliveira, Felipe Ferreira Borges, Leonardo Andrade Ribeiro, Alfredo Cuzzocrea:
Set Similarity Joins with Complex Expressions on Distributed Platforms. ADBIS 2018: 216-230 - [c329]Alfredo Cuzzocrea, Rim Moussa, Gianni Vercelli:
An Innovative Lambda-Architecture-Based Data Warehouse Maintenance Framework for Effective and Efficient Near-Real-Time OLAP over Big Data. BigData Congress 2018: 149-165 - [c328]Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo:
Improving Machine Learning Tools with Embeddings: Applications to Big Data Security. IEEE BigData 2018: 5086-5092 - [c327]Alfredo Cuzzocrea, Carlo Mastroianni:
A General Overview of Privacy-Preserving Big Data Management and Analytics Models, Methods and Techniques in Specific Domains: Static and Dynamic Distributed Environments. IEEE BigData 2018: 5093-5100 - [c326]Carson K. Leung, Calvin S. H. Hoi, Adam G. M. Pazdor, Bryan H. Wodi, Alfredo Cuzzocrea:
Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data. IEEE BigData 2018: 5101-5110 - [c325]Antonino Galletta, Alfredo Cuzzocrea, Antonio Celesti, Maria Fazio, Massimo Villari:
A Scalable Cloud-Edge Computing Framework for Supporting Device-Adaptive Big Media Provisioning. CCGrid 2018: 669-674 - [c324]Alfredo Cuzzocrea, Ernesto Damiani:
Pedigree-ing Your Big Data: Data-Driven Big Data Privacy in Distributed Environments. CCGrid 2018: 675-681 - [c323]Alfredo Cuzzocrea:
Supporting OLAP-Based Big Data Analytics over Data-Intensive Business Processes: Issues, Models, Proposals, and a Real-Life Framework. CIKM Workshops 2018 - [c322]Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
CIKM 2018 Co-Located Workshops Summary. CIKM 2018: 2309-2311 - [c321]Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
CIKM 2018 Workshops: Preface. CIKM Workshops 2018 - [c320]Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani, Giorgio Mario Grasso:
Towards Effective Generation of Synthetic Memory References Via Markovian Models. COMPSAC (2) 2018: 199-203 - [c319]Alfredo Cuzzocrea, Rim Moussa:
Towards Lambda-Based Near Real-Time OLAP over Big Data. COMPSAC (1) 2018: 438-441 - [c318]Ricardo Baeza-Yates, Alfredo Cuzzocrea, Domenico Crea, Giovanni Lo Bianco:
Learning Ranking Functions by Genetic Programming Revisited. DEXA (2) 2018: 378-386 - [c317]Alfredo Cuzzocrea:
Generating Synthetic Memory References via Hierarchical Markov Models Effectively and Efficiently. DMSVIVA 2018: 83-90 - [c316]Richard C. Camara, Alfredo Cuzzocrea, Giorgio Mario Grasso, Carson K. Leung, Steven B. Powell, Joglas Souza, Boyu Tang:
Fuzzy Logic-Based Data Analytics on Predicting the Effect of Hurricanes on the Stock Market. FUZZ-IEEE 2018: 1-8 - [c315]Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo:
A Novel Structural-Entropy-based Classification Technique for Supporting Android Ransomware Detection and Analysis. FUZZ-IEEE 2018: 1-7 - [c314]Alfredo Cuzzocrea, Giovanni Pilato:
Taxonomy-Based Detection of User Emotions for Advanced Artificial Intelligent Applications. HAIS 2018: 573-585 - [c313]Alfredo Cuzzocrea:
Scalable Privacy-Preserving Big Data Management and Analytics: Where We Are and Where We Are Going. ICCBDC 2018: 52-56 - [c312]Calvin S. H. Hoi, Carson K. Leung, Kimberly Tran, Alfredo Cuzzocrea, Mario A. Bochicchio, Marco Simonetti:
Supporting Social Information Discovery from Big Uncertain Social Key-Value Data via Graph-Like Metaphors. ICCC 2018: 102-116 - [c311]Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Syed Khairuzzaman Tanbeer, Giorgio Mario Grasso:
An Innovative Framework for Supporting Frequent Pattern Mining Problems in IoT Environments. ICCSA (5) 2018: 642-657 - [c310]Alfredo Cuzzocrea, Massimiliano Nolich, Walter Ukovich:
An Innovative Architecture for Supporting Cyber-Physical Security Systems. ICCSA (5) 2018: 658-667 - [c309]Alfredo Cuzzocrea, Assaf Schuster, Gianni Vercelli:
PP-OMDS: An Effective and Efficient Framework for Supporting Privacy-Preserving OLAP-based Monitoring of Data Streams. ICEIS (1) 2018: 282-292 - [c308]Alfredo Cuzzocrea, Rim Moussa, Enzo Mumolo:
Yet Another Automated OLAP Workload Analyzer: Principles, and Experiences. ICEIS (1) 2018: 293-298 - [c307]Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo:
Applying Deep Learning Techniques to CAN Bus Attacks for Supporting Identification and Analysis Tasks. ICETE (2) 2018: 479-487 - [c306]Edoardo Serra, Haritha Akella, Alfredo Cuzzocrea:
A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments. ICMLA 2018: 1479-1485 - [c305]Kyle J. Morris, Sean D. Egan, Jorell L. Linsangan, Carson K. Leung, Alfredo Cuzzocrea, Calvin S. H. Hoi:
Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data. ICMLA 2018: 1486-1491 - [c304]Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo:
Detecting and Analyzing Anomalies Across Historical Data Changes: A Data-Driven Approach. ICTAI 2018: 832-837 - [c303]