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Publication search results
found 535 matches
- 2019
- Francesco Guerra, Paolo Sottovia, Matteo Paganelli, Maurizio Vincini:
Big Data Integration of Heterogeneous Data Sources: The Re-Search Alps Case Study. BigData Congress 2019: 106-110 - Changxin Bai, Shiyong Lu, Ishtiaq Ahmed, Dunren Che, Aravind Mohan:
LPOD: A Local Path Based Optimized Scheduling Algorithm for Deadline-Constrained Big Data Workflows in the Cloud. BigData Congress 2019: 35-44 - Piero A. Bonatti, Sabrina Kirrane:
Big Data and Analytics in the Age of the GDPR. BigData Congress 2019: 7-16 - Luca Cagliero, Silvia Chiusano, Elena Daraio, Paolo Garza:
CarPredictor: Forecasting the Number of Free Floating Car Sharing Vehicles within Restricted Urban Areas. BigData Congress 2019: 72-76 - Chia-Hsuan Chang, Ming-Lun Wu, San-Yih Hwang:
An Approach to Cross-Lingual Sentiment Lexicon Construction. BigData Congress 2019: 129-131 - Michele Ciavotta, Srdjan Krstic, Damian A. Tamburri, Willem-Jan van den Heuvel:
HyperSpark: A Data-Intensive Programming Environment for Parallel Metaheuristics. BigData Congress 2019: 85-92 - Roberto Corizzo, Michelangelo Ceci, Donato Malerba:
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. BigData Congress 2019: 55-63 - Hui Gao, Karolina K. Dluzniak, Hong Xia, Wei Jie, Yanping Chen, Wei Xing, Xin Wang, Zhongmin Wang:
A Service Clustering Method Based on Wisdom of Crowds. BigData Congress 2019: 98-105 - Boyuan Guan, Liting Hu, Pinchao Liu, Hailu Xu, Zhaohui Fu, Qingyang Wang:
dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems. BigData Congress 2019: 111-120 - Junyao Guo, Lu Liu, Sihai Zhang, Jinkang Zhu:
Mobility Prediction with Missing Locations Based on Modified Markov Model for Wireless Users. BigData Congress 2019: 132-138 - Haojie Huang, Raymond K. Wong:
Reducing Feature Embedding Data for Discovering Relations in Big Text Data. BigData Congress 2019: 179-183 - Mahmoud Ismail, August Bonds, Salman Niazi, Seif Haridi, Jim Dowling:
Scalable Block Reporting for HopsFS. BigData Congress 2019: 157-164 - Hourieh Khalajzadeh, Mohamed Abdelrazek, John Grundy, John G. Hosking, Qiang He:
BiDaML: A Suite of Visual Languages for Supporting End-User Data Analytics. BigData Congress 2019: 93-97 - Clemens Lachner, Thomas Rausch, Schahram Dustdar:
Context-Aware Enforcement of Privacy Policies in Edge Computing. BigData Congress 2019: 1-6 - Anna Levin, Shelly Garion, Elliot K. Kolodner, Dean H. Lorenz, Katherine Barabash, Mike Kugler, Niall McShane:
AIOps for a Cloud Object Storage Service. BigData Congress 2019: 165-169 - Nesma Mahmoud, Youssef Essam, Radwa El Shawi, Sherif Sakr:
DLBench: An Experimental Evaluation of Deep Learning Frameworks. BigData Congress 2019: 149-156 - Sara Migliorini, Elisa Quintarelli, Damiano Carra, Alberto Belussi:
Sequences of Recommendations for Dynamic Groups: What Is the Role of Context? BigData Congress 2019: 121-128 - Paolo Missier, Jacek Cala:
Efficient Re-Computation of Big Data Analytics Processes in the Presence of Changes: Computational Framework, Reference Architecture, and Applications. BigData Congress 2019: 24-34 - Francesco Pace, Dimitrios Milios, Damiano Carra, Pietro Michiardi:
Dynamic Resource Shaping for Compute Clusters. BigData Congress 2019: 45-54 - Daniel Peralta, Yvan Saeys:
Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets. BigData Congress 2019: 77-84 - Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Baralis, Enrico Macii, Alberto Macii:
PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. BigData Congress 2019: 139-143 - Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii:
A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. BigData Congress 2019: 144-148 - Feng Xing, Caili Guo:
Mining Semantic Information in Rumor Detection via a Deep Visual Perception Based Recurrent Neural Networks. BigData Congress 2019: 17-23 - Fan Yang, Adina Crainiceanu, Zhiyuan Chen, Don Needham:
Cluster-Based Join for Geographically Distributed Big RDF Data. BigData Congress 2019: 170-178 - Jianyang Yu, Yuanyuan Qiao, Nanfei Shu, Kewu Sun, Shenshen Zhou, Jie Yang:
Neural Network Based Transaction Classification System for Chinese Transaction Behavior Analysis. BigData Congress 2019: 64-71 - Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama:
2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, Italy, July 8-13, 2019. IEEE 2019, ISBN 978-1-7281-2772-9 [contents] - 2018
- Zainab Abbas, Ahmad Al-Shishtawy, Sarunas Girdzijauskas, Vladimir Vlassov:
Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks. BigData Congress 2018: 57-65 - Ishtiaq Ahmed, Shiyong Lu, Changxin Bai, Fahima Amin Bhuyan:
Diagnosis Recommendation Using Machine Learning Scientific Workflows. BigData Congress 2018: 82-90 - Mohammed Aledhari, Marianne Di Pierro, Fahad Saeed:
A Fourier-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets. BigData Congress 2018: 128-134 - Preethi Anantharaman, Mu Qiao, Divyesh Jadav:
Large Scale Predictive Analytics for Hard Disk Remaining Useful Life Estimation. BigData Congress 2018: 251-254
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