Results 11 to 20 of about 2,022,125 (263)

Discovering Exclusive Patterns in Frequent Sequences [PDF]

open access: yes, 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 ...
Chen, Weiru, Keech, Malcolm, Lu, Jing
core   +1 more source

Mining Frequent Neighborhood Patterns in Large Labeled Graphs [PDF]

open access: yes, 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
core   +1 more source

Overview of frequent pattern mining

open access: yesGenomics & Informatics, 2022
Various methods of frequent pattern mining have been applied to genetic problems, specifically, to the combined association of two genotypes (a genotype pattern, or diplotype) at different DNA variants with disease. These methods have the ability to come up with a selection of genotype patterns that are more common in affected than unaffected ...
Ott, Jurg, Park, Taesung
openaire   +2 more sources

Discovering human activities from binary data in smart homes [PDF]

open access: yes, 2020
With the rapid development in sensing technology, data mining, and machine learning fields for human health monitoring, it became possible to enable monitoring of personal motion and vital signs in a manner that minimizes the disruption of an individual ...
Aghajan, Hamid   +2 more
core   +2 more sources

Most frequent gait patterns in diplegic spastic cerebral palsy [PDF]

open access: yesActa Ortopédica Brasileira, 2014
OBJECTIVE: To identify gait patterns in a large group of children with diplegic cerebral palsy and to characterize each group according to age, Gross Motor Function Classification System (GMFCS) level, Gait Deviation Index (GDI) and previous surgical ...
Mauro César de Morais Filho   +5 more
doaj   +1 more source

ETP-Mine: An Efficient Method for Mining Transitional Patterns [PDF]

open access: yes, 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
core   +2 more sources

Frequent Patterns Mining

open access: yesInternational 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
openaire   +1 more source

Towards fast and memory efficient discovery of periodic frequent patterns

open access: yesJournal of Information and Telecommunication, 2019
Periodic frequent pattern (PFP) mining, the process of discovering frequent patterns that occur at regular periods in databases, is an important data mining task for various decision-making.
Vincent Mwintieru Nofong, John Wondoh
doaj   +1 more source

A Caching Strategy for Transparent Computing Server Side Based on Data Block Relevance

open access: yesInformation, 2018
The performance bottleneck of transparent computing (TC) is on the server side. Caching is one of the key factors of the server-side performance. The count of disk input/output (I/O) can be reduced if multiple data blocks that are correlated with the ...
Bin Wang   +3 more
doaj   +1 more source

k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases

open access: yesIEEE Access, 2023
Finding periodic-frequent patterns in temporal databases is a prominent data mining problem with bountiful applications. It involves discovering all patterns in a database that satisfy the user-specified minimum support ( $min{\_{}}sup$ ) and maximum ...
Palla Likhitha   +4 more
doaj   +1 more source

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