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ORCIDBig Data Mining and Analytics, Volume 2
Volume 2, Number 1, March 2019
- Qi Rao, Yan Yang, Yongquan Jiang:
Condition recognition of high-speed train bogie based on multi-view kernel FCM. 1-11 - Chenguang Kong, Guangchun Luo, Ling Tian, Xiaojun Cao
:
Disseminating authorized content via data analysis in opportunistic social networks. 12-24 - Chenfei Sun, Qingzhong Li, Lizhen Cui, Hui Li, Yuliang Shi:
Heterogeneous network-based chronic disease progression mining. 25-34 - Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
A Brief Review of Network Embedding. 35-47 - Sunil Kumar, Maninder Singh:
Big data analytics for healthcare industry: impact, applications, and tools. 48-57 - Wentao Han, Kaiwei Li, Shimin Chen, Wenguang Chen:
Auxo: a temporal graph management system. 58-71
Volume 2, Number 2, June 2019
- Thosini Bamunu Mudiyanselage, Yanqing Zhang:
Feature selection with graph mining technology. 73-82 - Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yike Guo:
Model error correction in data assimilation by integrating neural networks. 83-91 - Yumeng Yan, Sheng-You Huang:
A non-redundant benchmark for symmetric protein docking. 92-99 - Jing (Selena) He, Meng Han, Shouling Ji, Tianyu Du, Zhao Li:
Spreading social influence with both positive and negative opinions in online networks. 100-117 - Haiqin Weng, Binbin Zhao, Shouling Ji, Jianhai Chen, Ting Wang, Qinming He, Raheem Beyah:
Towards understanding the security of modern image captchas and underground captcha-solving services. 118-144
Volume 2, Number 3, September 2019
- Bing Liu, Shishi Feng, Xuan Guo, Jing Zhang:
Bayesian analysis of complex mutations in HBV, HCV, and HIV studies. 145-158 - Bismita Jena, Cynthia Khan, Rajshekhar Sunderraman:
High performance frequent subgraph mining on transaction datasets: A survey and performance comparison. 159-180 - Mondher Bouazizi, Tomoaki Ohtsuki:
Multi-class sentiment analysis on twitter: Classification performance and challenges. 181-194 - Jingshu Liu, Li Wang, Jinglei Liu:
Efficient preference clustering via random fourier features. 195-204 - Wenmao Wu, Zhizhou Yu, Jieyue He:
A semi-supervised deep network embedding approach based on the neighborhood structure. 205-216
Volume 2, Number 4, December 2019
- Qile Zhu, Xiyao Ma, Xiaolin Li:
Statistical learning for semantic parsing: A survey. 217-239 - Sunil Kumar, Maninder Singh:
A novel clustering technique for efficient clustering of big data in Hadoop Ecosystem. 240-247 - Zhonglin Ye, Haixing Zhao, Ke Zhang, Zhaoyang Wang, Yu Zhu:
Network representation based on the joint learning of three feature views. 248-260 - Zengqiang Fang, Xiujuan Lei:
Prediction of miRNA-circRNA associations based on k-NN multi-label with random walk restart on a heterogeneous network. 261-272 - Balsam Alkouz, Zaher Al Aghbari, Jemal H. Abawajy:
Tweetluenza: Predicting flu trends from twitter data. 273-287 - Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang:
Clinical big data and deep learning: Applications, challenges, and future outlooks. 288-305 - Wanling Liu, Weikun Wu, Yingming Wang, Yanggeng Fu, Yanqing Lin:
Selective ensemble learning method for belief-rule-base classification system based on PAES. 306-318 - Tathagata Mukherjee, Piyush Kumar, Debdeep Pati, Erik Blasch, Eduardo Pasiliao, Liqin Xu:
LoSI: Large scale location inference through FM signal integration and estimation. 319-348
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