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ORCID9th BigData Congress 2020: Honolulu, HI, USA
- Surya Nepal, Wenqi Cao, Aziz Nasridinov, Md. Zakirul Alam Bhuiyan
, Xuan Guo, Liang-Jie Zhang:
Big Data - BigData 2020 - 9th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings. Lecture Notes in Computer Science 12402, Springer 2020, ISBN 978-3-030-59611-8
Research Track
- Eugene Levner, Boris Kriheli, Arriel Benis, Alexander Ptuskin, Amir Elalouf, Sharon Hovav, Shai Ashkenazi:
Entropy-Based Approach to Efficient Cleaning of Big Data in Hierarchical Databases. 3-12 - Muhammad Usama Javaid, Ahmed Amir Kanoun, Florian Demesmaeker, Amine Ghrab, Sabri Skhiri:
A Performance Prediction Model for Spark Applications. 13-22 - Benjamin Warner, Aaron Crook, Renzhi Cao:
Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT. 23-37 - Verena Kantere:
Processing Big Data Across Infrastructures. 38-51 - Lixuan Ding, Lanting Ding, Richard O. Sinnott:
Fake News Classification of Social Media Through Sentiment Analysis. 52-67 - Altti Ilari Maarala, Ossi Arasalo, Daniel Valenzuela, Keijo Heljanko, Veli Mäkinen:
Scalable Reference Genome Assembly from Compressed Pan-Genome Index with Spark. 68-84 - Jingling Zhou, Shiyu Wang, Yunxue Chen, Richard O. Sinnott:
A Web Application for Feral Cat Recognition Through Deep Learning. 85-100 - Ziyue Hu, Menglu Wu, Xiaopeng Fan, Yang Wang, Cheng-Zhong Xu:
MCF: Towards Window-Based Multiple Cuckoo Filter in Stream Computing. 101-115 - Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Cheng-Zhong Xu, Jun Zhang, Kejiang Ye:
A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems. 116-126 - Andre Luis Costa Carvalho, Darine Ameyed, Mohamed Cheriet:
Ensemble Learning for Heterogeneous Missing Data Imputation. 127-143 - Sam Supakkul, Robert Ahn, Ronaldo Gonçalves Junior, Diana Villarreal, Liping Zhao, Tom Hill, Lawrence Chung:
Validating Goal-Oriented Hypotheses of Business Problems Using Machine Learning: An Exploratory Study of Customer Churn. 144-158 - Nan Wang, Yong Liu, Peiyao Han, Xiaokun Li, Jinbao Li:
The Collaborative Influence of Multiple Interactions on Successive POI Recommendation. 159-174
Application Track
- Takashi Isobe, Yoshihiro Okada:
Chemical XAI to Discover Probable Compounds' Spaces Based on Mixture of Multiple Mutated Exemplars and Bioassay Existence Ratio. 177-189 - Martha O. Perez-Arriaga, Krishna Ashok Poddar:
Clinical Trials Data Management in the Big Data Era. 190-205 - Jonathan Zhou, Baldwin Chen, Nianjun Zhou:
Cross-Cancer Genome Analysis on Cancer Classification Using Both Unsupervised and Supervised Approaches. 206-219 - Pei-Yun Sun, Wan-Yun Sun, Yicheng Jin, Richard O. Sinnott:
Heavy Vehicle Classification Through Deep Learning. 220-236
Short Paper Track
- Jin Soung Yoo, Wentao Shao, Kanika Binzani:
Spatial Association Pattern Mining Using In-Memory Computational Framework. 239-246 - Yining Zhu, Ethan Sun, Yongsheng Bai:
Dissecting Biological Functions for BRCA Genes and Their Targeting MicroRNAs Within Eight Clusters. 247-251
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