Results 21 to 30 of about 4,031,702 (245)

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 ...
Weiru Chen   +5 more
core   +1 more source

Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining

open access: yesInternational Journal of Digital Earth, 2017
Holistic understanding of wind behaviour over space, time and height is essential for harvesting wind energy application. This study presents a novel approach for mapping frequent wind profile patterns using multi-dimensional sequential pattern mining ...
Norhakim Yusof, Raul Zurita-Milla
doaj   +1 more source

Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns.

open access: yesPLoS ONE
The application of pattern mining algorithms to extract movement patterns from sports big data can improve training specificity by facilitating a more granular evaluation of movement. Since movement patterns can only occur as consecutive, non-consecutive,
Victor Elijah Adeyemo   +3 more
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld   +5 more
wiley   +1 more source

Non-redundant sequential association rule mining based on closed sequential patterns [PDF]

open access: yes, 2010
In many applications, e.g., bioinformatics, web access traces, system utilisation logs, etc., the data is naturally in the form of sequences. People have taken great interest in analysing the sequential data and finding the inherent characteristics or ...
Zang, Hao
core  

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz   +6 more
wiley   +1 more source

CloSpan Sequential Pattern Mining for Books Recommendation System in Petra Christian University Library [PDF]

open access: yes, 2013
Petra Christian University (PCU) Library has been using website for their books search system. To further improve the service, it is necessary to develop the automatic system which can recommends the book or the correlation or the book which often ...
Yulia,   +2 more
core  

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Parallel mining of closed sequential patterns

open access: yes, 2005
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most useful one since it retains all the information of the complete pattern set ...
Jiawei Han, David Padua, Shengnan Cong
core   +1 more source

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

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