Results 41 to 50 of about 735,862 (187)
Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure
IEEE Access, 2023 High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and importance of items.
Hyeonmo Kim +6 more
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An Overview of the Use of Neural Networks for Data Mining Tasks [PDF]
, 2012 In the recent years the area of data mining has experienced a considerable demand for technologies that extract knowledge from large and complex data sources.
Alberts B +22 more
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Mining Top-k High Average-Utility Sequential Patterns for Resource Transformation
Applied Sciences, 2023 High-utility sequential pattern mining (HUSPM) helps researchers find all subsequences that have high utility in a quantitative sequential database. The HUSPM approach appears to be well suited for resource transformation in DIKWP graphs.
Kai Cao, Yucong Duan
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Towards Distributed Convoy Pattern Mining
, 2015 Mining movement data to reveal interesting behavioral patterns has gained attention in recent years. One such pattern is the convoy pattern which consists of at least m objects moving together for at least k consecutive time instants where m and k are ...
Ester M. +3 more
core +4 more sources
Frontiers in Bioinformatics, 2022 Boosted by the exponential growth of microbiome-based studies, analyzing microbiome patterns is now a hot-topic, finding different fields of application. In particular, the use of machine learning techniques is increasing in microbiome studies, providing
Agostinetto Giulia +4 more
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Flexible constrained sampling with guarantees for pattern mining [PDF]
, 2017 Pattern sampling has been proposed as a potential solution to the infamous pattern explosion. Instead of enumerating all patterns that satisfy the constraints, individual patterns are sampled proportional to a given quality measure.
A Giacometti +15 more
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Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets
IEEE Access, 2017 Finding knowledge from large data sets to use in intelligent systems becomes more and more important in the Internet era. Pattern mining, classification, text mining, and opinion mining are the topical issues.
Bay Vo +3 more
doaj +1 more source
Efficient Mining of Interesting Patterns in Large Biological Sequences [PDF]
Genomics & Informatics, 2012 Pattern discovery in biological sequences (e.g., DNA sequences) is one of the most challenging tasks in computational biology and bioinformatics. So far, in most approaches, the number of occurrences is a major measure of determining whether a pattern is
Md. Mamunur Rashid +3 more
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Reductions for Frequency-Based Data Mining Problems
, 2017 Studying the computational complexity of problems is one of the - if not the - fundamental questions in computer science. Yet, surprisingly little is known about the computational complexity of many central problems in data mining. In this paper we study
Miettinen, Pauli, Neumann, Stefan
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A Survey of Key Technologies for High Utility Patterns Mining
IEEE Access, 2020 Recently, high utility pattern mining (HUPM) is one of the most important research issues in data mining. Because it can consider the non-binary frequency values of items in a transaction and the different profit values of each item.
Chunyan Zhang +4 more
doaj +1 more source