Results 31 to 40 of about 9,375,366 (255)
Association Rules Mining on Retail Data
Ekoist Journal of Econometrics and Statistics, 2022 The development in information technologies, artificial intelligence, and data mining benefits people in many areas. With this development, data stacks are formed through the storage of ever-increasing data.
Hatice Dağaslanı, Özlem Deniz Başar
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom +15 more
wiley +1 more source
A Matrix-based Visual Analytics approach for the Analysis of Association Rules
, 2021 With a large amount of data, many data mining techniques have contributed to the extraction of useful information from the data. The generated information, if interpreted correctly results in a huge benefit for the user.
Varu, Rakshit
core
Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
, 2013 Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
core +1 more source
Pediatric 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
Class Association Rules for Profiling Outlier Stocks [PDF]
, 2017 Finding a stock with superior financial performance demands not only abundance of time, but a lot of financial knowledge from retail investors. Consequently, they always end up with empty handed. This research aims to assist them to “recognize” this type
Khor, Kok Chin +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source
EVALUATION AND OPTIMIZATION OF FREQUENT ASSOCIATION RULE BASED CLASSIFICATION
Asia-Pacific Journal of Information Technology and Multimedia, 2014 Deriving useful and interesting rules from a data mining system is an essential and important task. Problems such as the discovery of random and coincidental patterns or patterns with no significant values, and the generation of a large volume of rules ...
Izwan Nizal Mohd Shaharanee +1 more
doaj +1 more source
Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source
Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm
International Transactions on Electrical Energy Systems, 2022 As a very common and classic big data (BD) mining algorithm, the association rule data mining (DM) algorithm is often used to determine the internal correlation between different items and set a certain threshold to determine the size of the correlation.
Qunfeng Wei, Bin Qi
doaj +1 more source