Results 41 to 50 of about 1,878,751 (279)
Extraction of Opinion Targets Based on Frequent Sub-tree Pattern [PDF]
Most existing opinion target extraction methods are based on the heuristic rules or machine learning using features such as part of speech,morphology and etc.,but the defect of these methods is that deep association relationship mined by dependency ...
TIAN Weidong,MIAO Huijun
doaj +1 more source
Mining Representative Unsubstituted Graph Patterns Using Prior Similarity Matrix
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
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski +59 more
wiley +1 more source
Fast Single Pbase Algoritbm for Utility Mining in Big Data
Most of the latest works on utility mining generates a huge number of candidates in dealing with big data,which suffers from the scalability issue.Some work does not generate candidates,but suffers from the efficiency issue due to lack of strong pruning ...
Junqiang Liu +3 more
doaj +2 more sources
ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware +13 more
wiley +1 more source
GTRACE-RS: Efficient Graph Sequence Mining using Reverse Search
The mining of frequent subgraphs from labeled graph data has been studied extensively. Furthermore, much attention has recently been paid to frequent pattern mining from graph sequences.
Ikuta, Hiroaki +2 more
core +1 more source
ABSTRACT Purpose Patient activation—encompassing knowledge, confidence, and skills in managing individual's health—is a cornerstone of person‐centered care. However, its significance among childhood, adolescent, and young adult cancer survivors (CAYACS) remains unexplored. This article examines the application of the 13‐item Patient Activation Measure (
Charlotte Demoor‐Goldschmidt +12 more
wiley +1 more source
Frequent-pattern based iterative projected clustering [PDF]
Irrelevant attributes add noise to high dimensional clusters and make traditional clustering techniques inappropriate. Projected clustering algorithms have been proposed to find the clusters in hidden subspaces.
Mamoulis, N, Yiu, ML
core +2 more sources
Detecting Incremental Frequent Subgraph Patterns in IoT Environments
As graph stream data are continuously generated in Internet of Things (IoT) environments, many studies on the detection and analysis of changes in graphs have been conducted. In this paper, we propose a method that incrementally detects frequent subgraph
Kyoungsoo Bok +3 more
doaj +1 more source
ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark +9 more
wiley +1 more source

