Results 11 to 20 of about 3,318,937 (295)
A Comparative Study of Frequent Pattern Mining with Trajectory Data [PDF]
Sensors, 2022 Sequential pattern mining (SPM) is a major class of data mining topics with a wide range of applications. The continuity and uncertain nature of trajectory data make it distinctively different from typical transactional data, which requires additional ...
Shiting Ding +3 more
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Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval [PDF]
Entropy, 2022 Fine-grained image retrieval aims at searching relevant images among fine-grained classes given a query. The main difficulty of this task derives from the small interclass distinction and the large intraclass variance of fine-grained images, posing ...
Min Zheng, Yangliao Geng, Qingyong Li
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Preference-Based Frequent Pattern Mining [PDF]
International Journal of Data Warehousing and Mining, 2005 Frequent pattern mining is an important data-mining problem with broad applications. Although there are many in-depth studies on efficient frequent pattern mining algorithms and constraint pushing techniques, the effectiveness of frequent pattern mining remains a serious concern: It is non-trivial and often tricky to specify appropriate support ...
Moonjung Cho +3 more
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A pattern-growth approach for mining maximal fault-tolerant frequent itemsets [PDF]
Scientific ReportsMining fault-tolerant (FT) frequent itemsets in noisy datasets is more challenging than conventional frequent itemset mining due to the high cost of evaluating fault-tolerance conditions.
Shariq Bashir
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Proof Learning in PVS With Utility Pattern Mining [PDF]
IEEE Access, 2020 Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
M. Saqib Nawaz +2 more
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Discovering Exclusive Patterns in Frequent Sequences [PDF]
, 2010 This paper presents a new concept for pattern discovery in frequent sequences with potentially interesting applications. Based on data mining, the approach aims to discover exclusive sequential patterns (ESP) by checking the relative exclusion of ...
Weiru Chen +5 more
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Route Recommendation Method Based on Frequent Trajectory Sequence Pattern Mining
Taiyuan Ligong Daxue xuebao, 2022 Travel route recommendation is one of the important research contents in the field of intelligent transportation. Traditional route recommendation methods often recommend routes on the basis of a single factor such as the shortest route or the shortest ...
Zongtao DUAN +5 more
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Mining Frequent Patterns in Evolving Graphs
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018 Given a labeled graph, the frequent-subgraph mining (FSM) problem asks to find all the $k$-vertex subgraphs that appear with frequency greater than a given threshold. FSM has numerous applications ranging from biology to network science, as it provides a compact summary of the characteristics of the graph. However, the task is challenging, even more so
Nasir, Muhammad Anis Uddin +4 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.
Fakir, Y., Elayachi, R.
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arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]
, 2005 Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün +6 more
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