Results 11 to 20 of about 1,878,751 (279)
ETP-Mine: An Efficient Method for Mining Transitional Patterns [PDF]
, 2010 A Transaction database contains a set of transactions along with items and their associated timestamps. Transitional patterns are the patterns which specify the dynamic behavior of frequent patterns in a transaction database.
Bhaskar, A., Kumar, B. Kiran
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Mining Frequent Neighborhood Patterns in Large Labeled Graphs [PDF]
, 2013 Over the years, frequent subgraphs have been an important sort of targeted patterns in the pattern mining literatures, where most works deal with databases holding a number of graph transactions, e.g., chemical structures of compounds. These methods rely
Han, Jialong, Wen, Ji-Rong
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ISPRS International Journal of Geo-Information, 2020 Real-word phenomena, such as ocean eddies and clouds, tend to split and merge while they are moving around within a space. Their trajectories usually bear one or more branches and are accordingly defined as complex trajectories in this study.
Huimeng Wang +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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Reframing in Frequent Pattern Mining [PDF]
, 2016 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.
Ahmed, Chowdhury Farhan +4 more
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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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International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020 Frequent pattern mining has been an important subject matter in data mining from many years. A remarkable progress in this field has been made and lots of efficient algorithms have been designed to search frequent patterns in a transactional database. One of the most important technique of datamining is the extraction rule in large database.
Y. Fakir, R. Elayachi
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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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Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy [PDF]
, 2010 This paper describes an approach to temporal pattern mining using the concept of user defined temporal prototypes to define the nature of the trends of interests.
F.P. Coenen +13 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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