Results 251 to 260 of about 25,310,122 (328)

Carbon emissions and environmental management based on Big Data and Streaming Data: A bibliometric analysis.

Science of the Total Environment, 2020
Climate change and environmental management are issues of global concern. The advent of the era of Big Data has created a new research platform for the assessment of environmental governance and policies.
Yuan Su, Yanni Yu, Ning Zhang
semanticscholar   +3 more sources

Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering

IEEE Transactions on Neural Networks and Learning Systems
Streaming data clustering is a popular research topic in data mining and machine learning. Since streaming data is usually analyzed in data chunks, it is more susceptible to encountering the dynamic cluster imbalance issue.
Yiqun Zhang, Sen Feng, Pengkai Wang, Zexi Tan, Xiaopeng Luo, Yuzhu Ji, Rong Zou, Yiu-ming Cheung   +7 more
semanticscholar   +3 more sources

Incremental semi-supervised learning on streaming data

Pattern Recognition, 2019
In streaming data classification, most of the existing methods assume that all arrived evolving data are completely labeled. One challenge is that some applications where only small amount of labeled examples are available for training.
Yanchao Li, Yongli Wang, Qi Liu, Cheng Bi, Xiaohui Jiang, Shurong Sun   +5 more
semanticscholar   +3 more sources

Robust Online Tensor Completion for IoT Streaming Data Recovery

IEEE Transactions on Neural Networks and Learning Systems, 2022
Reliable data measurement is considered to be one of the critical ingredients for variant Internet of Things (IoT) applications. Gaining full knowledge of measurement data is becoming increasingly crucial to ensure a satisfactory user experience. However,
Chunsheng Liu, Tao Wu, Zhifei Li, Tengyu Ma, Jun Huang   +4 more
semanticscholar   +1 more source

Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression

IEEE transactions on fuzzy systems, 2022
As a type of evolving-fuzzy system, the evolving-fuzzy-neuro (EFN) system uses the structure inspired by neural networks to determine its parameters (fuzzy sets and fuzzy rules), so EFN system can inherit the advantages of neural networks.
Hang Yu, Jie Lu, Guangquan Zhang
semanticscholar   +1 more source

Anomaly Detection in Resource Constrained Environments With Streaming Data

IEEE Transactions on Emerging Topics in Computational Intelligence, 2022
Isolation Forest (or iForest) is a well-known technique for anomaly detection. It is, however, a bulky approach that assumes the luxury of large storage space and is also ineffective with dynamic streaming data so common nowadays in varied application ...
Prarthi Jain, Seemandhar Jain, Osmar R Zaiane, Abhishek Srivastava   +3 more
semanticscholar   +1 more source

MORStreaming: A Multioutput Regression System for Streaming Data

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
With the continuous generation of huge volumes of streaming data, streaming data regression has become more complicated. A regressor that predicts two or more outputs, i.e., multioutput regression, is commonly used in many applications.
Hang Yu, Jie Lu, Guangquan Zhang
semanticscholar   +1 more source

CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy

Proceedings of the VLDB Endowment, 2021
Local differential privacy (LDP) is a well-established privacy protection scheme for collecting sensitive data, which has been integrated into major platforms such as iOS, Chrome, and Windows. The main idea is that each individual randomly perturbs her
Ergute Bao, Y. Yang, X. Xiao, Bolin Ding
semanticscholar   +1 more source

Online Residual Quantization Via Streaming Data Correlation Preserving

IEEE transactions on multimedia, 2021
Recently, the online retrieval task has been receiving widespread attention, which is closely related to many real-world applications. However, existing online retrieval methods based on hashing suffer from two main problems: a) the models tend to be ...
P. Li, Hongtao Xie, Shaobo Min, Zhengjun Zha, Yongdong Zhang   +4 more
semanticscholar   +1 more source

Streaming Data Analysis: Clustering or Classification?

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
This article is a position paper about models and algorithms that are generally called “stream clustering.” Semantics and methods used in this field are often co-opted from static clustering, but they do not serve well for streaming data analysis.
J. Bezdek, J. Keller
semanticscholar   +1 more source