Results 41 to 50 of about 10,424,890 (336)

Skopus: Mining top-k sequential patterns under leverage [PDF]

open access: yesData mining and knowledge discovery, 2015
This paper presents a framework for exact discovery of the top-k sequential patterns under Leverage. It combines (1) a novel definition of the expected support for a sequential pattern—a concept on which most interestingness measures directly rely—with ...
F. Petitjean   +3 more
semanticscholar   +1 more source

An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns

open access: yesIEEE Access, 2017
Mining frequent closed sequential pattern (FCSPs) has attracted a great deal of research attention, because it is an important task in sequences mining.
Bao Huynh, Bay Vo, Vaclav Snasel
doaj   +1 more source

Discovering Sequential Source Code Patterns in Software Engineering

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2022
Discovering sequential patterns in source codes is an important issue in software engineering since it can provide useful knowledge to help in a variety of tasks such as code completion, code refactoring, developer profiling, and code complexity ...
Kökten Birant, Dilara Kırnapcı
doaj   +1 more source

Mining hybrid sequential patterns and sequential rules

open access: yesInformation Systems, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yen-Liang Chen   +2 more
openaire   +3 more sources

The Effects of Synchronous Versus Asynchronous Temporal Patterns On Sequential Learning [PDF]

open access: yes, 2018
Sequential learning refers to the ability to learn the temporal and ordinal patterns of one’s environment. The current study examines the effects of synchronous and asynchronous temporal patterns on sequential learning. Twenty healthy adults participants
Ross, Kimberly
core   +1 more source

An Algorithm for Mining High Utility Sequential Patterns with Time Interval

open access: yesCybernetics and Information Technologies, 2019
Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy   +4 more
doaj   +1 more source

Information and argument patterns in the Introduction sections of sociology research papers

open access: yesIbérica, 2022
This study analysed the information-argument structure of the Introduction sections of sociology research papers, to identify differences across three types of sociology research: Investigative research, Development and Evaluation research, and ...
Wei-Ning Cheng   +1 more
doaj   +1 more source

An efficient algorithm for Hiding High Utility Sequential Patterns

open access: yesInternational Journal of Approximate Reasoning, 2018
High Utility Sequential Patterns (HUSP) are a type of patterns that can be found in data collected in many domains such as business, marketing and retail. Two critical topics related to HUSP are: HUSP mining (HUSPM) and HUSP Hiding (HUSPH).
H. Le   +4 more
semanticscholar   +1 more source

Discovery of events with negative behavior against given sequential patterns [PDF]

open access: yes, 2010
The dramatic drop in the prices of data collection and storage devices has not only enabled organisations to store almost every activity of their business processes, they can also retain every state of these activities as well.
Morris, Tim; id_orcid   +11 more
core   +1 more source

Sequential super-stereotypy of an instinctive fixed action pattern in hyper-dopaminergic mutant mice: a model of obsessive compulsive disorder and Tourette's

open access: yesBMC Biology, 2005
Background Excessive sequential stereotypy of behavioral patterns (sequential super-stereotypy) in Tourette's syndrome and obsessive compulsive disorder (OCD) is thought to involve dysfunction in nigrostriatal dopamine systems.
Houchard Kimberly R   +3 more
doaj   +1 more source

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