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ORCID6th BigDataService 2020: Oxford, UK
- 6th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2020, Oxford, UK, August 3-6, 2020. IEEE 2020, ISBN 978-1-7281-7022-0
- Rituka Jaiswal, Antorweep Chakravorty, Chunming Rong
:
Distributed Fog Computing Architecture for Real-Time Anomaly Detection in Smart Meter Data. 1-8 - Maria Schmidt, Ojashree Bhandare, Ajinkya Prabhune, Wolfgang Minker, Steffen Werner:
Classifying Cognitive Load for a Proactive In-car Voice Assistant. 9-16 - Lei Liu, Xi Zhang, Ye Liu, Wangwang Zhu, Baixuan Zhao:
An Ensemble of Multiple Boosting Methods Based on Classifier-Specific Soft Voting for Intelligent Vehicle Crash Injury Severity Prediction. 17-24 - George A. Vouros, Apostolos Glenis, Christos Doulkeridis:
The Delta Big Data Architecture for Mobility Analytics. 25-32 - Dimitrios Tsoumakos, Ioannis Giannakopoulos:
Content-Based Analytics: Moving beyond Data Size. 33-40 - Sai Chaitanya Tolem, Chaithanya Reddy Bogadi, Naga Sindhu Korlapati, Sindu Ravichandran, Rajasree Rajendran, Chandrasekar Vuppalapati:
A Theoretical Study on Advances in Streaming Analytics. 41-45 - Priyanka Kasbekar, Katerina Potika, Chris Pollett:
Find me if You Can: Aligning Users in Different Social Networks. 46-53 - Abhishek Singh, Niraj Dharamshi, Preethi Thimma Govarthanarajan, Premal Dattatray Samale, Magdalini Eirinaki:
The Tipping Point In Social Networks: Investigating the Mechanism Behind Viral Information Spreading. 54-61 - Aris Pagourtzis, Dora Souliou, Petros Potikas, Katerina Potika:
Overlapping Community Detection via Minimum Spanning Tree Computations. 62-65 - Ricardo Buettner:
The Impact of Trust in Consumer Protection on Internet Shopping Behavior: An Empirical Study using a Large Official Dataset from the European Union. 66-69 - Oren Sar Shalom, Hezi Resheff, Alex Zhicharevich, Rami Cohen:
Distant Supervision for Keyphrase Extraction using Search Queries. 70-77 - Ashish Chouhan, Ajinkya Prabhune, Paneesh Prabhuraj, Hitesh Chaudhari:
DWreck: A Data Wrecker Framework for Generating Unclean Datasets. 78-87 - Yuanxun Zhang, Sai Swathi Sivarathri, Prasad Calyam:
ScholarFinder: Knowledge Embedding Based Recommendations using a Deep Generative Model. 88-95 - Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency. 96-103 - Junzhang Wang, Rafael Martins de Moraes, Anasse Bari:
A Predictive Analytics Framework to Anomaly Detection. 104-108 - Alexander Power, Gerald Kotonya:
BoboCEP: Distributed Complex Event Processing for Resilient Fault-Tolerance Support in IoT. 109-112 - João Marcos do Valle, Gabriel Souza, Samuel Fidelis, Adelson Araujo, Nélio Cacho, Iaslan Silva, Jaine Budke, Henrique Sales, Max William Filgueira, Frederico Lopes, Daniel Araújo, Rivaldo Silva Junior:
Big Data Platform for Analysing Crime Evidences. 113-119 - Robert Vanderheyden, Ying Xie:
Mammography Image BI-RADS Classification Using OHPLall. 120-127 - Tarek Khorshed, Mohamed N. Moustafa, Ahmed A. Rafea:
Multi-Tissue Cancer Classification of Gene Expressions using Deep Learning. 128-135 - Rameez Asif:
Deep Neural Networks for Future Low Carbon Energy Technologies: Potential, Challenges and Economic Development. 136-141 - Takis Varelas, Stathis Plitsos:
Real-Time Ship Management through the Lens of Big Data. 142-147 - Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby:
Explainability and Adversarial Robustness for RNNs. 148-156 - Hazem Kotb, Mohamed ElHelw, Sherif Sakr:
AutoDLCon: An Approach for Controlling the Automated Tuning for Deep Learning Networks. 157-164 - Md. Ahsanul Kabir, Xiao Luo:
Unsupervised Learning for Network Flow Based Anomaly Detection in the Era of Deep Learning. 165-168 - Tomasz Lewicki, Meera Kumar, Raymond Hong, Wencen Wu:
Intracranial Hemorrhage Detection in CT Scans using Deep Learning. 169-172 - Kristina Milkovich, Saurabh Shirur, Pratap Kishore Desai, Likhith Manjunath, Wencen Wu:
ZenDen - A Personalized House Searching Application. 173-178 - Qianli Zhang, Zhenyu Liu, Jianrong Tan:
Predicting the Performance of Tunnel Boring Machines using Big Operational Data. 179-182 - István Finta, Lóránt Farkas, Sándor Szénási:
Data Structure for Packet De-Duplication in Distributed Environments. 183-188 - Ricardo Buettner, Martin Blattner, Willi Reinhardt:
Internet Gaming more than 3 Hours a Day is Indicative and more than 5 Hours is Diagnostic: Proposal of Playing Time Cutoffs for WHO-11 and DSM-5 Internet Gaming Disorder Based on a Large Steam Platform Dataset. 189-192 - Yingchi Mao, Jing Chen, Ping Ping, Hao Chen:
Crack Detection with Multi-task Enhanced Faster R-CNN Model. 193-197 - Ping Ping, Xiaohui Yang, Zeyu Gao:
A Deep Learning Approach for Street Pothole Detection. 198-204 - Guoyan Xu, Zixu Jing, Yingchi Mao, Xinyue Su:
A Dam Deformation Prediction Model Based on ARIMA-LSTM. 205-211 - Yong Wang, Pengyu Wang, Xuhui Zhao, Zhuo Liu, Leo Yu Zhang:
A New Interval Preference Model and Corresponding Fuzzy Similarity Measure for Collaborative Filtering. 212-215 - Ping Ping, Xiaojuan Zhang, Xiaohui Yang, Yingchi Mao, Zeyu Gao:
Parallel Image Encryption Technology Based on Cellular Automaton. 216-223 - Yingchi Mao, Xuesong Xu, Longbao Wang, Ping Ping:
Priority Combinatorial Double Auction Based Resource Allocation in the Cloud. 224-228 - Yingchi Mao, Ping Ping, Jing Chen, Hao Chen:
Crack Detection with Multi-task Enhanced Faster R-CNN Model. 229-233
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