Efficiently mining erasable stream patterns for intelligent systems over uncertain data
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22269
Abstract: Data mining is a method for extracting useful information that is necessary for a system from a database. As the types of data processed by the system are diversified, the transformed pattern mining techniques for… read more here.
Keywords: intelligent systems; pattern mining; uncertain data; erasable pattern ... See more keywords
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects
Sign Up to like & getrecommendations! Published in 2018 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1231
Abstract: Emerging pattern mining is a data mining task that aims to discover discriminative patterns, which can describe emerging behavior with respect to a property of interest. In recent years, the description of datasets has become… read more here.
Keywords: empirical study; pattern mining; mining; emerging pattern ... See more keywords
Fast Streaming Behavioural Pattern Mining
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DOI: 10.1007/s00354-018-0044-4
Abstract: Identification of typical user behaviour within a web application is a crucial assumption for revealing user characteristics, preferences and habits. Typical and repeating features of user behaviour during his/her interaction with web application can be… read more here.
Keywords: behavioural pattern; user; pattern mining; fast streaming ... See more keywords
A framework for discovering popular paths using transactional modeling and pattern mining
Sign Up to like & getrecommendations! Published in 2022 at "Distributed and Parallel Databases"
DOI: 10.1007/s10619-021-07366-7
Abstract: While the problems of finding the shortest path and k -shortest paths have been extensively researched, the research community has been shifting its focus towards discovering and identifying paths based on user preferences. Since users… read more here.
Keywords: pattern mining; discovering popular; framework discovering; popularity ... See more keywords
Pattern mining in alarm flood sequences using a modified PrefixSpan algorithm.
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DOI: 10.1016/j.isatra.2018.12.050
Abstract: Proper monitoring of performance of an alarm system throughout its life cycle is an important factor in safety and reliability of industrial plants. Complexity and extent of modern industrial plants and poor design and management… read more here.
Keywords: alarm; pattern mining; algorithm; modified prefixspan ... See more keywords
Location-Based Parallel Sequential Pattern Mining Algorithm
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DOI: 10.1109/access.2019.2939937
Abstract: Given a data sequence, sequential pattern mining, which finds frequent sequence patterns among them, is an important data mining problem. However, in the existing sequential pattern mining, only the purchase order of the items is… read more here.
Keywords: mining; pattern mining; sequential pattern; mining algorithm ... See more keywords
Inferring Location Types With Geo-Social-Temporal Pattern Mining
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DOI: 10.1109/access.2020.3018997
Abstract: With a rapid growth in the global population, the modern world is undergoing a rapid expansion of residential areas, especially in urban centres. This continuously demands for increased general services and basic amenities, which are… read more here.
Keywords: location; social temporal; pattern mining; location types ... See more keywords
Sequential Pattern Mining of Longitudinal Adverse Events After Left Ventricular Assist Device Implant
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2958714
Abstract: Left ventricular assist devices (LVADs) are an increasingly common therapy for patients with advanced heart failure. However, implantation of the LVAD increases the risk of stroke, infection, bleeding, and other serious adverse events (AEs). Most… read more here.
Keywords: aes; lvad; pattern mining; adverse events ... See more keywords
A Secure Parallel Pattern Mining System for Medical Internet of Things.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3233803
Abstract: In this paper, a new generic parallel pattern mining framework called multi-objective Decomposition for Parallel Pattern-Mining (MD-PPM) is developed to solve the challenges of the Internet of Medical Things through big data exploration. MD-PPM discovers… read more here.
Keywords: parallel pattern; system; medical data; pattern mining ... See more keywords
NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints
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DOI: 10.1109/tcyb.2017.2750691
Abstract: Sequence pattern mining aims to discover frequent subsequences as patterns in a single sequence or a sequence database. By combining gap constraints (or flexible wildcards), users can specify special characteristics of the patterns and discover… read more here.
Keywords: pattern mining; sequence pattern; pattern; gap constraints ... See more keywords
Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2751081
Abstract: Pattern mining is one of the most important tasks to extract meaningful and useful information from raw data. This task aims to extract item-sets that represent any type of homogeneity and regularity in data. Although… read more here.
Keywords: big data; pattern mining; based mapreduce; frequent patterns ... See more keywords