Results 41 to 50 of about 310,714 (306)

Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists

open access: yesInformation, 2020
A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
doaj   +1 more source

Applications of concurrent access patterns in web usage mining [PDF]

open access: yes, 2013
This paper builds on the original data mining and modelling research which has proposed the discovery of novel structural relation patterns, applying the approach in web usage mining.
Wang, Cuiqing   +5 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

An Efficient Chain Structure to Mine High-Utility Sequential Patterns

open access: yes, 2019
High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns from the quantitative databases. Several works have been presented
Djenouri, Youcef   +9 more
core   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa   +8 more
wiley   +1 more source

Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis

open access: yesFrontiers in Artificial Intelligence, 2022
Sequential pattern mining remains a challenging task due to the large number of redundant candidate patterns and the exponential search space. In addition, further analysis is still required to map extracted patterns to different outcomes. In this paper,
Sohom Ghosh   +5 more
doaj   +1 more source

On efficiently mining high utility sequential patterns

open access: yes, 2016
High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward
Wang, Jun-Zhe;Huang, Jiun-Long;Chen, Yi-Cheng
core   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro   +11 more
wiley   +1 more source

Sequential Patterns Postprocessing for Structural Relation Patterns Mining [PDF]

open access: yes, 2008
Sequential patterns mining is an important data-mining technique used to identify frequently observed sequential occurrence of items across ordered transactions over time. It has been extensively studied in the literature, and there exists a diversity of
Weiru Chen   +3 more
core   +2 more sources

Exploiting high-order behaviour patterns for cross-domain sequential recommendation

open access: yesConnection Science, 2022
The cross-domain sequential recommendation aims to predict the next item based on a sequence of recorded user behaviours in multiple domains. We propose a novel Cross-domain Sequential Recommendation approach with Graph-Collaborative Filtering (CsrGCF ...
Bingyuan Wang   +6 more
doaj   +1 more source

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