A Novel Scheme for Efficiency of Customer Loyalties Using Pattern Growth Method with Upper Bound Algorithm
نویسندگان
چکیده
The aim is to improve and develop a novel scheme detect loyalties of customers using pattern growth method.Novel Pattern method compared with upper bound taxonomy sequence algorithm are used online sales customer loyalties. Sample size determined the G Power calculator found be 10 per group. Totally 20 samples used. Pretest power 80% CI 95%. Based on analysis Novel has an accuracy 80.8% 67.25%. Significance value 0.0001 (p<0.05, two-tailed). Proposed Pattern-Growth higher than Upper Bound Taxonomy for selected datasets more reviews.
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ژورنال
عنوان ژورنال: Advances in parallel computing
سال: 2022
ISSN: ['1879-808X', '0927-5452']
DOI: https://doi.org/10.3233/apc220040