Results 111 to 120 of about 25,851 (312)

Enhancing Retail Strategies Through Anomaly Detection in Association Rule Mining

IEEE Access
Association rule mining (ARM) is a fundamental technique for uncovering meaningful patterns and relationships within retail datasets, providing valuable insights for decision-making processes in the retail industry.
Bijayini Mohanty, Santi Lata Champati, Swadhin Kumar Barisal   +2 more
doaj   +1 more source

LC an effective classification based association rule mining algorithm

Classification using association rules is a research field in data mining that primarily uses association rule discovery techniques in classification benchmarks.
Mahmood, Qazafi
core  

MEOX1 Coordinates Autocrine‐Paracrine Programs via SPHK1/S1P to Promote Lymph Node Metastasis in Ovarian Cancer

Advanced Science, EarlyView.
In ovarian cancer, MEOX1 activates the SPHK1/S1P pathway to promote both tumor progression and tumor–stroma crosstalk. MEOX1‐dependent signaling drives CAF activation, enhances VEGF‐C expression, and stimulates lymphangiogenesis, ultimately facilitating lymph node metastasis.
Jiajia Li, Xiuling Zhi, Qianhan Lin, Yating Sun, Yihua Sun, Zulimire Abudousalamu, Mengyang Xue, Chang Zheng, Xiaotian Li, Liangqing Yao, Mo Chen   +10 more
wiley   +1 more source

Streptavidins Coordinate Biotin Sequestration and Self‐Resistance Within a Biotin‐Pathway Antibiotic Network

Advanced Science, EarlyView.
A conserved genomic region between two streptavidin genes in Streptomyces packages biosynthetic gene clusters for diverse biotin‐pathway antibiotics: acidomycin, stravidin, the new non‐proteinogenic amino acid ANDA, and the new BioA inhibitor α‐methyl‐KAPA.
Sumire Kurosawa, Jingjun Mo, Xiaotong Diao, Feng Xie, Tingting Wang, Haowen Zhao, Dalei Wu, Rolf Müller, Chengzhang Fu   +8 more
wiley   +1 more source

Comorbidity Study of Attention-deficit Hyperactivity Disorder (ADHD) in Children: Applying Association Rule Mining (ARM) to Korean National Health Insurance Data

Iranian Journal of Public Health, 2018
Background: The aim of this study was to explore the comorbidity of Attention-Deficit Hyperactivity Disorder (ADHD) for the Korean national health insurance data (NHID) by using association rule mining (ARM).
Leejin KIM, Sungmin MYOUNG
doaj  

A NOVEL ALGORITHM FOR ASSOCIATION RULE MINING FROM DATA WITH INCOMPLETE AND MISSING VALUES [PDF]

ICTACT Journal on Soft Computing, 2011
Missing values and incomplete data are a natural phenomenon in real datasets. If the association rules mine incomplete disregard of missing values, mistaken rules are derived.
K. Rameshkumar
doaj  

An Incremental High-Utility Mining Algorithm with Transaction Insertion

The Scientific World Journal, 2015
Association-rule mining is commonly used to discover useful and meaningful patterns from a very large database. It only considers the occurrence frequencies of items to reveal the relationships among itemsets.
Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Binbin Zhang   +3 more
doaj   +1 more source

Association Rule Mining on Fragmented Database

, 2015
Anonymization methods are an important tool to protect privacy. The goal is to release data while preventing individuals from being identified. Most approaches generalize data, reducing the level of detail so that many individuals appear the same.
Hamzaoui, Amel, Malluhi, Qutaibah, Clifton, Chris, Riley, Ryan   +3 more
openaire   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Data Mining Application using Association Rule Mining ECLAT Algorithm Based on SPMF

MATEC Web of Conferences, 2018
Data mining is an important research domain that currently focused on knowledge discovery database. Where data from the database are mined so that information can be generated and used effectively and efficiently by humans.
Reynaldo Jason, Boy Tonara David
doaj   +1 more source