Results 81 to 90 of about 24,177,180 (174)

Optimizing Culinary Association Rules with Genetic Algorithms Using Lift and Novelty

Journal of Applied Informatics and Computing
The culinary industry generates large volumes of transaction data, yet conventional Association Rule Mining often produces excessive rules due to rule explosion.
Larasati Romadhani Yunita Putri, Amri Muhaimin, Trimono Trimono   +2 more
doaj   +1 more source

The Lift Project: Feelings Follow Your Focus

, 2022
The Lift Project is an evidence-based mental health and wellbeing program that draws together the findings of over 400 studies from the disciplines of Neuroscience, Lifestyle Medicine and Positive Psychology.
Morton, Darren
core   +1 more source

Understanding Farmers’ Multi-channel Communication Preference in West Bengal Using Association Rule Mining

International Journal of Bio-Resource and Stress Management
The present study was conducted during October, 2025 at Bandh Nabagram village, Sriniketan block, Birbhum district, West Bengal, India to investigate communication behaviours of fifty farmers using Association Rule Mining (ARM).
Soumyadeep Thakur, Debabrata Basu
doaj   +1 more source

Optimization control of all-terrain rescue lift vehicle safety performance based on state feedback.

PLoS ONE
The all-terrain rescue lift vehicle is instrumental in mining emergency rescue operations, with its operational stability being of utmost importance. This study focuses on the XZJ5240JQZ30 all-terrain rescue lift vehicle, optimizing its vehicle structure
Jian Yao, Weiyu Qu, Dongmei Tian, Jimao Shi, Jiayun Wang, Baiyou Xu, Shouyi Wang   +6 more
doaj   +1 more source

Scenario-Based Association Rule Mining in Veterinary Services Using FP-Growth: Differentiating Clinical and Customer-Driven Patterns

Journal of Applied Informatics and Computing
Veterinary clinics routinely generate transactional data that contain valuable information about both operational workflows and customer preferences. This study aims to differentiate between procedural and customer-driven service patterns by applying the
Rafi Dio, Aulia Agung Dermawan, Dwila Sempi Yusiani, Rifaldi Herikson, Andikha Andikha, Dwi Ely Kurniawan, Adyk Marga Raharja   +6 more
doaj   +1 more source

Learning from medical data streams: an introduction [PDF]

, 2011
Clinical practice and research are facing a new challenge created by the rapid growth of health information science and technology, and the complexity and volume of biomedical data.
Rodrigues, P., Gaber, M.M., Gaber, M., Pechenizkiy, M., Pereira Rodrigues, P., Gama, J., Pechenizkiy, M.; id_orcid   +6 more
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Hybrid Data Mining For Member Determination And Financing Prediction In Syariah Financing Saving And Loan Cooperatives

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Syariah Financing Saving And Loan Cooperatives (KSPPS) is an Islamic financial institution aimed at people who are on the lower middle scale to lift the economy of small communities through microfinancing programs.
Ondra Eka Putra, Randy Permana
doaj   +1 more source

Symptoms affecting the development of diabetes: analysis of risk factors with data mining

BMC Medical Informatics and Decision Making
Objective Diabetes is one of the most common chronic health threats worldwide. Early detection of diabetes is difficult and diagnosis and treatment processes can be costly. Data mining techniques offer powerful tools for predictive analysis and knowledge
Ali Vasfi Aglarci, Feridun Karakurt
doaj   +1 more source

Modeling of thermal lifts: techniques for mining thermal eddies from aerial movement data

, 2017
This work contributes to the theoretical domain of Movement Analysis on the basis of aerial trajectory data and to the methods of deterministic and probabilistic modeling of thermal lifts. The mining of thermal gliding related flight patterns from mobile in-situ sensor data demand robust methods, due to the sparse data availability and irregular ...
openaire   +1 more source

DATA MINING TECHNOLOGIES [PDF]

Knowledge discovery and data mining software (Knowledge Discovery and Data Mining - KDD) as an interdisciplinary field emersion have been in rapid growth to merge databases, statistics, industries closely related to the desire to extract valuable ...
Titrade Cristina-Maria
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