Results 71 to 80 of about 2,022,125 (263)
Mining Frequent Patterns Via Pattern Decomposition [PDF]
, 2005 Pattern decomposition is a data-mining technology that uses known frequent or infrequent patterns to decompose a long itemset into many short ones. It finds frequent patterns in a dataset in a bottom-up fashion and reduces the size of the dataset in each step.
Qinghua Zou, Wesley Chu
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +1 more source
Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright +13 more
wiley +1 more source
Mining Representative Unsubstituted Graph Patterns Using Prior Similarity Matrix
, 2013 One of the most powerful techniques to study protein structures is to look for recurrent fragments (also called substructures or spatial motifs), then use them as patterns to characterize the proteins under study.
Dhifli, Wajdi +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
COMPACT STRUCTURE REPRESENTATION IN DISCOVERING FREQUENT PATTERNS FOR ASSOCIATION RULES
Journal of ICT, 2022 Frequent pattern mining is a key problem in important data mining applications, such as the discovery of association rules, strong rules and episodes. Structure used in typical algorithms for solving this problem operate in several database scans and a ...
Norwati Mustapha +3 more
doaj
Optimized and Frequent Subgraphs: How Are They Related?
IEEE Access, 2018 Frequent subgraph mining (FSM) is one of the most challenging tasks in graph mining. FSM consists of applying the data mining algorithms to extract interesting, unexpected, and useful graph patterns from the graphs.
Saif Ur Rehman +2 more
doaj +1 more source
Mining frequent patterns in process models [PDF]
Information Sciences, 2019 Process mining has emerged as a way to analyze the behavior of an organization by extracting knowledge from event logs and by offering techniques to discover, monitor and enhance real processes. In the discovery of process models, retrieving a complex one, i.e., a hardly readable process model, can hinder the extraction of information.
David Chapela-Campa +2 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 more
wiley +1 more source
Germline TP53 Mutations Causing Diamond–Blackfan Anemia: A French Report
Pediatric Blood &Cancer, EarlyView.ABSTRACT Diamond–Blackfan anemia is a rare congenital erythroblastopenia typically caused by mutations in ribosomal protein genes. Recently, gain‐of‐function mutations in TP53 have been identified as a novel cause of Diamond–Blackfan anemia. We report two French patients who both harbored a heterozygous TP53 deletion (NM_000546.5: c.1077delA; p ...
Rafael Moisan +6 more
wiley +1 more source