Results 11 to 20 of about 659,665 (262)
Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern
Information, 2019 Anomaly detection of network traffic flows is a non-trivial problem in the field of network security due to the complexity of network traffic. However, most machine learning-based detection methods focus on network anomaly detection but ignore the user ...
Ying Zhao +6 more
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Reframing in Frequent Pattern Mining [PDF]
2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), 2015 Mining frequent patterns is a crucial task in data mining. Most of the existing frequent pattern mining methods find the complete set of frequent patterns from a given dataset. However, in real-life scenarios we often need to predict the future frequent patterns for different tasks such as business policy making, web page recommendation, stock-market ...
Chowdhury Farhan Ahmed +4 more
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A Survey of Correlated High Utility Pattern Mining
IEEE Access, 2021 Pattern mining is an unsupervised data mining approach aims to find interesting patterns that can be used to support decision-making. High Utility Pattern Mining (HUPM) aims to extract patterns having high utility or importance which has broad ...
Rashad S. Almoqbily +2 more
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Frequent Pattern Retrieval on Data Streams by using Sliding Window [PDF]
EAI Endorsed Transactions on Energy Web, 2021 In different applications like recommender frameworks and market examination, regular patterns play a significant role in useful mining data. Mining regular patterns from sliding windows over streaming information has become a complex task.
P. Kumar, P. Rao
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Mining Human Activity Patterns From Smart Home Big Data for Health Care Applications
IEEE Access, 2017 Nowadays, there is an ever-increasing migration of people to urban areas. Health care service is one of the most challenging aspects that is greatly affected by the vast influx of people to city centers.
Abdulsalam Yassine +2 more
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A Survey on Behavioral Pattern Mining From Sensor Data in Internet of Things
IEEE Access, 2020 The deployment of large-scale wireless sensor networks (WSNs) for the Internet of Things (IoT) applications is increasing day-by-day, especially with the emergence of smart city services.
Md. Mamunur Rashid +4 more
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An Improving Approach for Top-Rank- Frequent Pattern Mining
Vietnam Journal of Computer Science, 2022 Mining frequent patterns (FPs) received a lot of research interest which is a fundamental problem in the field of data mining. It has been studied on many database types with various applications in intelligent systems.
Ham Nguyen
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Multi-step spectrum occupancy prediction method based on association rule mining
Dianzi Jishu Yingyong, 2020 Radio spectrum occupancy prediction is a key technology in cognitive radio research. In the traditional method, only single step size prediction can be performed, and the effect of multi-step size prediction is significantly reduced.
Jing Tong, Ding Wenrui, Liu Chunhui
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Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks
IEEE Access, 2020 Syslog parsing is of vital importance for the detection, diagnosis and prediction of network device failures in a datacenter. A common approach to syslog parsing is to extract templates from historical syslogs, after which syslogs are matched to these ...
Shenglin Zhang +10 more
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A User Identification Algorithm Based on User Behavior Analysis in Social Networks
IEEE Access, 2019 The precision of the conventional user identification algorithm is not satisfactory because it ignores the role of user-generated data in identity matching.
Kaikai Deng +5 more
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