dblp: BDCAT 2017 (original) (raw)

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4th BDCAT 2017: Austin, TX, USA

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  • Big Data Stream Processing
  • Storage and Operating Systems
  • Big Data Applications
  • Machine Learning
  • Deep Learning
  • Social Networks
  • Big Data Computing Frameworks
  • Big Data and Distributed Systems
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• > Home > Conferences and Workshops > BDCAT

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    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

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    M. Haseeb Javed, Xiaoyi Lu, Dhabaleswar K. Panda:
    Characterization of Big Data Stream Processing Pipeline: A Case Study using Flink and Kafka. 1-10
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    Felix Heine, Marius Rohde:
    PopUp-Cubing: An Algorithm to Efficiently Use Iceberg Cubes in Data Streams. 11-20
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    Rudraneel Chakraborty, Shikharesh Majumdar:
    Priority Based Resource Scheduling Techniques for a Resource Constrained Stream Processing System. 21-31

Storage and Operating Systems

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    Mayur Punekar, Qutaibah M. Malluhi, Yongge Wang, Yvo Desmedt:
    Candidate MDS Array Codes for Tolerating Three Disk Failures in RAID-7 Architectures. 33-42
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    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

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    Kenneth Johnson, Shahper Richter:
    Quantitative Verification of Social Media Networks: The Case Study of Twitter. 53-62
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    Muhammad Mahbubur Rahman, Tim Finin:
    Deep Understanding of a Document's Structure. 63-73
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    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
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    Riqing Chen, Hui Zhang:
    Large-scale 3D Reconstruction with an R-based Analysis Workflow. 85-93

Machine Learning

Deep Learning

Social Networks

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    Jing Yuan, Weili Wu, Yi Li, Ding-Zhu Du:
    Active Friending in Online Social Networks. 139-148
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    Johnny Torres, Carmen Vaca, Cristina L. Abad:
    What Ignites a Reply?: Characterizing Conversations in Microblogs. 149-156
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    Amartya Hatua, Trung T. Nguyen, Andrew H. Sung:
    Information Diffusion on Twitter: Pattern Recognition and Prediction of Volume, Sentiment, and Influence. 157-167
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    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

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    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
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    Tariq Abdullah, Ahmed Ahmet:
    Genomics Analyser: A Big Data Framework for Analysing Genomics Data. 189-197
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    Shouwei Chen, Ivan Rodero:
    Understanding Behavior Trends of Big Data Frameworks in Ongoing Software-Defined Cyber-Infrastructure. 199-208

Big Data and Distributed Systems

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    Logan Hall, Bryan Harris, Erica Tomes, Nihat Altiparmak:
    Big Data Aware Virtual Machine Placement in Cloud Data Centers. 209-218
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    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
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    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
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    André Petermann, Martin Junghanns, Erhard Rahm:
    DIMSpan: Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems. 237-246

Data Mining

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    Siyuan Huang, Rui Zhang, Nuofei Li, Jiming Guo, Hongbo Jiang:
    Automatic Mining of Multi-granularity Temporal Regularity from Trajectory Data. 247-254
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    Rongye Shi, Peter Steenkiste, Manuela M. Veloso:
    Second-Order Destination Inference using Semi-Supervised Self-Training for Entry-Only Passenger Data. 255-264

Posters

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    Joojay Huyn:
    A Scalable Real-Time Framework for DDoS Traffic Monitoring and Characterization. 265-266
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    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
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    Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
    Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers. 269-270
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    Hasan Kurban, Can Kockan, Mark Jenne, Mehmet M. Dalkilic:
    Case Study: Clustering Big Stellar Data with EM. 271-272
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    Yan Tang, Mingzheng Li, Wangsong Wang, Pengcheng Xuan, Kun Geng:
    Quality-Aware Movie Recommendation System on Big Data. 273-274

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