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ORCID4th BDCAT 2017: Austin, TX, USA
- Ashiq Anjum, Alan Sill, Xinghui Zhao, Mohsen M. Farid, Shrideep Pallickara, Jiannong Cao:
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2017, Austin, TX, USA, December 05 - 08, 2017. ACM 2017, ISBN 978-1-4503-5549-0
Big Data Stream Processing
- M. Haseeb Javed, Xiaoyi Lu, Dhabaleswar K. Panda:
Characterization of Big Data Stream Processing Pipeline: A Case Study using Flink and Kafka. 1-10 - Felix Heine
, Marius Rohde:
PopUp-Cubing: An Algorithm to Efficiently Use Iceberg Cubes in Data Streams. 11-20 - Rudraneel Chakraborty, Shikharesh Majumdar:
Priority Based Resource Scheduling Techniques for a Resource Constrained Stream Processing System. 21-31
Storage and Operating Systems
- Mayur Punekar, Qutaibah M. Malluhi, Yongge Wang, Yvo Desmedt:
Candidate MDS Array Codes for Tolerating Three Disk Failures in RAID-7 Architectures. 33-42 - Mellitus Ezeme, Akramul Azim, Qusay H. Mahmoud:
An Imputation-based Augmented Anomaly Detection from Large Traces of Operating System Events. 43-52
Big Data Applications
- Kenneth Johnson, Shahper Richter:
Quantitative Verification of Social Media Networks: The Case Study of Twitter. 53-62 - Muhammad Mahbubur Rahman, Tim Finin:
Deep Understanding of a Document's Structure. 63-73 - Rana Alnashwan, Humphrey Sorensen, Adrian O'Riordan, Cathal Hoare:
Multiclass Sentiment Classification of Online Health Forums using Both Domain-independent and Domain-specific Features. 75-83 - Riqing Chen, Hui Zhang:
Large-scale 3D Reconstruction with an R-based Analysis Workflow. 85-93
Machine Learning
- Jun Jiang, Xinghui Zhao, Scott Wallace, Eduardo Cotilla Sanchez, Robert B. Bass:
Mining PMU Data Streams to Improve Electric Power System Resilience. 95-102 - Juan J. Villalobos, Ivan Rodero, Manish Parashar:
An Unsupervised Approach for Online Detection and Mitigation of High-Rate DDoS Attacks Based on an In-Memory Distributed Graph Using Streaming Data and Analytics. 103-112 - Cong Feng, Erol Kevin Chartan, Bri-Mathias S. Hodge, Jie Zhang:
Characterizing Time Series Data Diversity for Wind Forecasting. 113-119
Deep Learning
- Muhammad Usman Yaseen, Ashiq Anjum, Nick Antonopoulos:
Modeling and Analysis of a Deep Learning Pipeline for Cloud based Video Analytics. 121-130 - Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang:
Glowworm Swarm Optimisation for Training Multi-Layer Perceptrons. 131-138
Social Networks
- Jing Yuan, Weili Wu, Yi Li, Ding-Zhu Du:
Active Friending in Online Social Networks. 139-148 - Johnny Torres, Carmen Vaca, Cristina L. Abad:
What Ignites a Reply?: Characterizing Conversations in Microblogs. 149-156 - Amartya Hatua, Trung T. Nguyen, Andrew H. Sung:
Information Diffusion on Twitter: Pattern Recognition and Prediction of Volume, Sentiment, and Influence. 157-167 - Daniel Medina Sada, Susan A. Mengel, Lisaann S. Gittner, Hafiz Khan, Mario A. Pitalua Rodriguez, Ravi Vadapalli:
A Preliminary Investigation with Twitter to Augment CVD Exposome Research. 169-178
Big Data Computing Frameworks
- Jun Suzuki, Yuki Hayashi, Masaki Kan, Shinya Miyakawa, Takashi Takenaka, Takuya Araki, Masaru Kitsuregawa:
Victream: Computing Framework for Out-of-Core Processing on Multiple GPUs. 179-188 - Tariq Abdullah, Ahmed Ahmet:
Genomics Analyser: A Big Data Framework for Analysing Genomics Data. 189-197 - Shouwei Chen, Ivan Rodero:
Understanding Behavior Trends of Big Data Frameworks in Ongoing Software-Defined Cyber-Infrastructure. 199-208
Big Data and Distributed Systems
- Logan Hall, Bryan Harris, Erica Tomes, Nihat Altiparmak:
Big Data Aware Virtual Machine Placement in Cloud Data Centers. 209-218 - Aikaterini Boufea, Richard Finkers, Martijn van Kaauwen, Mark R. Kramer, Ioannis N. Athanasiadis:
Managing Variant Calling Files the Big Data Way: Using HDFS and Apache Parquet. 219-226 - Debessay Fesehaye, Lenin Singaravelu, Amitabha Banerjee, Ruijin Zhou, Xiaobo Huang, Chien-Chia Chen, Rajesh Somasundaran:
Performance Analysis of Large Scale Distributed Systems by Ranking Dominant Features. 227-236 - André Petermann, Martin Junghanns, Erhard Rahm:
DIMSpan: Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems. 237-246
Data Mining
- Siyuan Huang, Rui Zhang, Nuofei Li, Jiming Guo, Hongbo Jiang:
Automatic Mining of Multi-granularity Temporal Regularity from Trajectory Data. 247-254 - Rongye Shi, Peter Steenkiste, Manuela M. Veloso:
Second-Order Destination Inference using Semi-Supervised Self-Training for Entry-Only Passenger Data. 255-264
Posters
- Joojay Huyn:
A Scalable Real-Time Framework for DDoS Traffic Monitoring and Characterization. 265-266 - Benjamin Bryant, Hamed Sari-Sarraf, L. Rodney Long, Sameer K. Antani:
A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling. 267-268 - Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers. 269-270 - Hasan Kurban, Can Kockan, Mark Jenne, Mehmet M. Dalkilic:
Case Study: Clustering Big Stellar Data with EM. 271-272 - Yan Tang, Mingzheng Li, Wangsong Wang, Pengcheng Xuan, Kun Geng:
Quality-Aware Movie Recommendation System on Big Data. 273-274
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