Results 71 to 80 of about 615 (220)

Actionable high-coherent-utility fuzzy itemset mining

, 2016
Many fuzzy data mining approaches have been proposed for finding fuzzy association rules with the predefined minimum support from quantitative transaction databases.
Chen, C. H.;Li, A. F.;Lee, Y. C., Chen, Chun-hao   +1 more
core   +1 more source

Content Validity of Creativity Self‐Report Questionnaires From PISA 2022

The Journal of Creative Behavior, Volume 59, Issue 2, June 2025.
ABSTRACT The present paper questions the content validity of the eight creativity‐related self‐report scales available in PISA 2022's context questionnaire and provides a set of considerations for researchers interested in using these indexes. Specifically, we point out some threats to the content validity of these scales (e.g., creative thinking self ...
B. Goecke, S. Weiss, B. Barbot
wiley   +1 more source

On minimal and maximal high utility itemsets mining using propositional satisfiability

, 2021
International audienceComputing high utility motifs is a fundamental data mining method for discovering useful itemsets yielding high utility values. Minimal and maximal high utility itemsets are two examples of compact representations used to reduce the
Hidouri, Amel, Raddaoui, Badran, Jabbour, Saïd, Said Jabbour, Imen Ouled Dlala, Ouled Dlala, Imen, Badran Raddaoui, Amel Hidouri   +7 more
core   +1 more source

A novel transformer health state direct prediction method based on knowledge and data fusion‐driven model

High Voltage, Volume 10, Issue 3, Page 710-725, June 2025.
Abstract Predicting the future health state of a transformer can offer early warning of latent defects and faults within the transformer, thereby facilitating the formulation of power outage maintenance plans and power dispatch strategies. However, existing prediction methods based on the structure of ‘splicing prediction and diagnosis method’ suffer ...
Peng Zhang, Guoliang Zhang, Fei Zhou, Xiaoyu Fan, Yi Zhang, Zexu Du   +5 more
wiley   +1 more source

Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining

International Journal of Computational Intelligence Systems, 2019
In the field of fuzzy utility mining, the characteristics of transaction time have been a widely studied topic in data mining. However, using a single-conditional threshold for all items does not suffice to reflect the true properties of items.
Wei-Ming Huang, Tzung-Pei Hong, Ming-Chao Chiang, Jerry Chun-Wei Lin   +3 more
doaj   +1 more source

Modified GUIDE (LM) algorithm for mining maximal high utility patterns from data streams [PDF]

International Journal of Computational Intelligence Systems, 2015
High utility pattern mining is an emerging research topic in the data mining field. Unlike frequent pattern mining, high utility pattern mining deals with non-binary databases, in which the information about purchased quantities of items is maintained ...
Chiranjeevi Manike, Hari Om
doaj   +1 more source

Data Mining of Infertility and Factors Influencing Its Development: A Finding From a Prospective Cohort Study of RaNCD in Iran

Health Science Reports, Volume 8, Issue 1, January 2025.
ABSTRACT Background and Aims Infertility, as defined by the World Health Organization, is the inability to conceive after 12 months of regular, unprotected intercourse. This study aimed to identify factors influencing infertility by applying data mining techniques, specifically rule‐mining methods, to analyze diverse patient data and uncover relevant ...
Hosna Heydarian, Masoumeh Abbasi, Farid Najafi, Mitra Darbandi   +3 more
wiley   +1 more source

Mining high utility itemsets in massive transactional datasets [PDF]

, 2011
Mining High Utility Itemsets from a transaction database is to find itemsets that have utility beyond an user-specified threshold. Existing High Utility Itemsets mining algorithms suffer from many problems when being applied to massive transactional ...
Thi Vu Duc, Nguyen Huy Duc
core  

A Hybrid Method for High-Utility Itemsets Mining in Large High-Dimensional Data

, 2009
Existing algorithms for high-utility itemsets mining are column enumeration based, adopting an Apriorilike candidate set generation-and-test approach, and thus are inadequate in datasets with high dimensions or long patterns.
Xianhui Zeng, Shihuang Shao, Guangzhu Guangzhu Yu, Bin Luo   +3 more
core   +1 more source

A multi‐agent K‐means with case‐based reasoning for an automated quality assessment of software requirement specification

IET Communications, Volume 19, Issue 1, January/December 2025.
This paper proposed an Automated Quality Assessment of SRS (AQA‐SRS) framework by integrating four popular methods which are; NLP, K‐means, MAS, and CBR to assess the quality of SRS documents. The NLP utilize for feature extraction, K‐means for features clustering, MAS for interactive assessment and feature selection decision, and CBR for managing the ...
Mohammed Ahmed Jubair, Salama A. Mostafa, Aida Mustapha, Mohamad Aizi Salamat, Mustafa Hamid Hassan, Mazin Abed Mohammed, Fahad Taha AL‐Dhief   +6 more
wiley   +1 more source