Search Results - "2021 IEEE 6th International Conference on Big Data Analytics (ICBDA)"

Named Entity Recognition Using BERT with Whole World Masking in Cybersecurity Domain by Zhou, Shieheng, Liu, Jingju, Zhong, Xiaofeng, Zhao, Wendian

“…Nowadays the amount of cybersecurity data grows quickly on the Internet, however most of them are textual unstructured data, which is hard for security…”
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Big Data Driven Model for New York Taxi Trips Analysis by Yu, Xuqiao

“…Due to the accumulation of large amount of evolution in metropolitan areas, urban data is understood and has become the first-hand prospect of manageable data,…”
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Trajectory Similarity Measure Design for Ship Trajectory Clustering by Zhang, Yuan-qiang, Shi, Guo-you

“…Trajectory similarity measure is an important factor in Ship trajectory clustering, its design influences the number and shape of the cluster. In order to…”
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Research and Analysis of Student Portrait Based on Campus Big Data by Li, Xiaoying, He, Shouwu

“…With the rapid development of smart campuses, college business platforms have gradually accumulated a large amount of student behavior data. Facing the massive…”
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A Deep Residual Shrinkage Neural Network-based Deep Reinforcement Learning Strategy in Financial Portfolio Management by Sun, Ruoyu, Jiang, Zhengyong, Su, Jionglong

“…Reinforcement Learning algorithms are widely applied in many fields, such as price index prediction, image recognition, and natural language processing. This…”
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Prediction of the Electronic Work Function by Regression Algorithm in Machine Learning by Li, Na, Zong, Tianxin, Zhang, Zhigang

“…The electronic work function is a simple and basic parameter, which can well connect the properties of materials with their electronic behaviors. Three kinds…”
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Application of Machine Learning Model and Hybrid Model in Retail Sales Forecast by Jiang, Haichen, Ruan, Jiatong, Sun, Jianmin

“…Using time series data to predict future sales changes of products is of great significance to every retailing company in terms of management and planning of…”
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A Deep Deterministic Policy Gradient-based Strategy for Stocks Portfolio Management by Zhang, Huanming, Jiang, Zhengyong, Su, Jionglong

“…With the improvement of computer performance and the development of GPU-accelerated technology, trading with machine learning algorithms has attracted the…”
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Improving Text Classification Using Knowledge in Labels by Zhang, Cheng, Yamana, Hayato

“…Various algorithms and models have been proposed to address text classification tasks; however, they rarely consider incorporating the additional knowledge…”
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Anomaly Detection for Time Series Data Stream by Wang, Qifan, Yan, Bo, Su, Hongyi, Zheng, Hong

“…Time Series is an important data object, which has the characteristics of high dimensionality, large amount of data, and fast data update. In the field of…”
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The Use of Features to Enhance the Capability of Deep Reinforcement Learning for Investment Portfolio Management by Ren, Xiaotian, Jiang, Zhengyong, Su, Jionglong

“…Reinforcement learning algorithms and neural networks have been widely used in stock market forecasting, image recognition processing and many other fields. In…”
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Blockchain-Based Distributed Data Integrity Auditing Scheme by Baofu, Han, Hui, Li, Chuansi, Wei

“…Cloud storage technology enables users to outsource local data to cloud service provider (CSP). In spite of its copious advantages, how to ensure the integrity…”
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Ocean Data Sharing Based on Blockchain by Cheng, Xiwen, Qu, Fengzhong

“…In order to solve the problem of ocean data sharing difficulties and "isolated data island ", a decentralized, tamperproof ocean data sharing system based on…”
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Property Prediction of Medical Magnesium Alloy based on Machine Learning by Li, Na, Zhao, Siyue, Zhang, Zhigang

“…In the research on the performance of magnesium alloy materials as medical implant materials, which is generally measured by plenty of mechanical experiments…”
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Time Series Classification via Enhanced Temporal Representation Learning by Wang, Kun, Wang, Chun, Wang, Yunxiao, Luo, Wei, Zhan, Peng, Hu, Yupeng, Li, Xueqing

“…Due to the booming of time series (a temporal data sequence, including continuous recorded values and timestamps), time series classification has been…”
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Microarray Data Classification Based on Neighbourhood Components Analysis Projection Method by Zhang, Chuanlei, Liu, Lixin, Zhang, Shanwen, Huang, Chengliang

“…Microarray data can contribute to precise classification of tumors. However, it is difficult to solve the problems caused by the curse of dimensionality and…”
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Modular Policy Evaluation System: A Policy Evaluation Framework Based on Text Mining by Gao, Yang, Li, Yang yang, Wang, Yaojun

“…Nowadays, in the big data era, data processing technology facilitates us to get the utmost out of sufficient information in the data. However, few scholars…”
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Research on Education Big Data Security Strategy under Network Environment by Fupeng, Tian

“…In recent years, big data in education has become an important force to promote educational reform. However, the current research at home and abroad mainly…”
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Comparison and Evaluation of the Combinations of Feature Selection and Classifier on Microarray Data by Yan, Chaokun, Zhang, Jun, Kang, Xi, Gong, Zhengze, Wang, Jianlin, Zhang, Ge

“…As gene chip technology is widely used in cancer research, a large number of valuable microarray data has been rapidly accumulated. These data have the…”
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Research on Agricultural Products Intelligent Recommendation Based on E-commerce Big Data by Junhui, Wu, Chushan, Shen, Yusheng, Wu, Jie, Chen, Kaiyan, Lin, Huiping, Si

“…As an effective method to solve the problem of information overload, intelligent recommendation has become a necessary condition for e-commerce of agricultural…”
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