Results 51 to 60 of about 739 (208)
CLOLINK: An Adapted Algorithm for Mining Closed Frequent Itemsets
Mining of the complete set of frequent itemsets will lead to a huge number of itemsets. Fortunately, this problem can be reduced to the mining of closed frequent itemsets, which results in a much smaller number of itemsets.
Onashoga, Adebukola, Adebukola Onashoga
core +1 more source
The purpose of this study was to explore the risk factors for autonomous vehicle (AV) crashes and their interdependencies. A total of 659 AV crash data were collected between 2018 and July 2024 from AV crash reports published by the California Department of Motor Vehicles.
Tao Wang +4 more
wiley +1 more source
Towards efficiently mining closed high utility itemsets from incremental databases [PDF]
The set of closed high-utility itemsets (CHUIs) concisely represents the exact utility of all itemsets. Yet, it can be several orders of magnitude smaller than the set of all high-utility itemsets.
Ramampiaro, Heri +3 more
core +2 more sources
ABSTRACT Machine learning techniques are increasingly used for high‐stakes decision‐making, such as college admissions, loan attribution, or recidivism prediction. Thus, it is crucial to ensure that the models learnt can be audited or understood by human users, do not create or reproduce discrimination or bias and do not leak sensitive information ...
Julien Ferry +4 more
wiley +1 more source
Content Validity of Creativity Self‐Report Questionnaires From PISA 2022
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
Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle
Background AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply.
Chen Yi-Ping, Chen Qingfeng
doaj +1 more source
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 +5 more
wiley +1 more source
A Hybrid Algorithm of Mining Closed Itemsets for Large Databases
Data Mining means a process of nontrivial extraction of implicit, previously and potentially useful information from data in databases. Mining closed large itemsets is a further work of mining association rules, which aims to find the set of necessary ...
Lee Wen Huang
core +1 more source
A Patricia-Tree Approach For Frequent Closed Itemsets
{"references": ["J.S. Park, M.S. Chen and P.S. Yu, \"An Effective Hash Based Algorithm for Mining Association Rules,\" in Proc. 5th SIGMOD Intl. W orkshop. Management of Data, California, 1995, pp. 175-186.", "R. Agrawal and R. Srikant, \"Fast Algorithms for Mining Association\nRules. 20th Intl. Conf. Very Large Data Bases, Santiago, 1994, pp.
Moez Ben Hadj Hamida, Yahya Slimani
openaire +1 more source
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 +3 more
wiley +1 more source

