Results 61 to 70 of about 15,306 (225)
IEEE Open Journal of the Computer SocietySoftware defect prediction (SDP) optimizes testing resource allocation by enabling timely detection of potential defects. Association rule mining, a highly interpretable and high-performance data mining technique, has proven effective as an SDP predictor.
Wentao Wu +8 more
doaj +1 more source
Discrete Dynamics in Nature and Society, 2017 Apriori algorithm, as a typical frequent itemsets mining method, can help researchers and practitioners discover implicit associations from large amounts of data.
Xiyu Liu, Yuzhen Zhao, Minghe Sun
doaj +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri +2 more
wiley +1 more source
Invotek: Jurnal Inovasi Vokasional dan TeknologiThis research investigates the role of data science in understanding customer behavior and enhancing sales, focusing specifically on the application of Apriori and FP-Growth Algorithms at a retail store, Deli Point, in Labuan Bajo.
I Wayan Pio Pratama
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Scientific medical Bulletin of Ugra, 2021 The history and modern ideas about the infl uence of a plurality of diseases on the state of human health are highlighted. To date, large-scale epidemiological observations have shown that a third of all current diseases in the population meet more diagnostic criteria than one disorder.
Roman Olegovich Ragozin +2 more
openaire +1 more source
Abacus, Volume 62, Issue 2, Page 392-421, June 2026.This paper develops a framework for understanding how key audit matters (KAMs) can be factored into investors’ risk assessments. Detailed interviews with seasoned investors representing international and regional asset managers and owners confirm that the number and type of reported KAMs are not ‘priced’ directly.
Warren Maroun +2 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.Social media algorithms drive a hidden risk chain: over‐disclosure → behavioral fusion → targeted attacks. We propose a 128‐dim, law‐aware risk scoring model with Drools‐based dynamic alerts for universities. ABSTRACT As universities undergo accelerated digital transformation, social media algorithms—while streamlining campus services—have emerged as a
Weishu Ye, Zhi Li
wiley +1 more source
Total Variation Regularized GRACE(‐FO) Inversion
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.Abstract Gravity estimation from satellite‐satellite tracking missions such as GRACE(‐FO) is an ill‐posed inverse problem. The conventional approach to regularized inversion of GRACE(‐FO) measurements uses L2 ${L}_{2}$‐Tikhonov regularization with a heuristic constraint matrix derived based on knowledge of spatiotemporal distribution of the signal ...
G. Jacob +4 more
wiley +1 more source
Symbolic Data Mining in Databases Using the Apriori Algorithm
, 2013 This thesis discusses symbolic data mining, its concepts and uses in the discovery of knowledge hidden in large datasets. Data mining is a multidisciplinary field, drawing work from areas including database technology, machine learning, statistics ...
Imouokhome, Eseohen
core
Algoritma Apriori Untuk Menemukan Pola Aturan Asosiasi
, 2020 Association is one of the methods in data mining, which is looking for a similar pattern in data transactions or certain items that often appear. So that the supermarket manager can determine in making decisions on the pattern of items purchased together
Jumasa, Hamid Muhammad +2 more
core +1 more source