An Association Rules-Based Method for Outliers Cleaning of Measurement Data in the Distribution Network

Kuang, Hua; Qin, Risheng; He, Mi; He, Xin; Duan, Ruimin; Guo, Cheng; Meng, Xian

doi:10.3389/fenrg.2021.730058

Cited by 3 publications

(1 citation statement)

References 32 publications

(26 reference statements)

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“…In the Information Technology (IT) context, a methodological approach has been proposed to advance requirements engineering within the enterprise software domain [30]. Also, significant contributions include outlier cleaning in network measurement data [31], processing voluminous datasets through membrane computing models [32], and developing mobile e-commerce recommender systems for online shopping [33]. Additionally, notable efforts have been directed towards bolstering the security of global cyberspace [34] and enhancing the water wave optimization algorithm [35].…”

Section: State Of the Artmentioning

confidence: 99%

Toward Enhanced Customer Transaction Insights: An Apriori Algorithm-based Analysis of Sales Patterns at University Industrial Corporation

Llanos,

Huatangari,

Meza

et al. 2024

IJACSA

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The University Industrial Corporation (CIU) at the National University of Jaen offers a range of consumable products, encompassing nectar, water, coffee, chocolate, and chocoteja. However, its sales transactions function without a systematic analysis. To address this, the study gathered and analyzed sales data from March to November 2023, aiming to identify and delineate associations among frequently copurchased products, revealing underlying interdependencies and associations. Employing text mining methodologies, this study preprocessed and analyzed 1542 sales records using the Apriori algorithm, culminating in the extraction of 17 association rules. Among these rules, three standout associations were uncovered: the purchase of chocolate, chocoteja and water suggests a purchase of nectar; chocolate, nectar and water acquisitions correlate with chocoteja purchases; lastly chocolate and nectar purchases are associated with chocoteja acquisitions. These findings provide insights to augment potential production adjustments within the CIU, enabling the leveraging of established associations to boost sales and revenue. Moreover, the identified rules serve as a cornerstone for decision-makers, actionable guidance for stakeholders, enabling the identification of co-purchased products, fostering informed production planning, fine-tuning marketing strategies for customer relationship management (CRM), and enhancing CIU's market competitiveness and profitability.

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Section: State Of the Artmentioning

confidence: 99%

Toward Enhanced Customer Transaction Insights: An Apriori Algorithm-based Analysis of Sales Patterns at University Industrial Corporation

Llanos,

Huatangari,

Meza

et al. 2024

IJACSA

View full text Add to dashboard Cite

show abstract

Water Supply Pipeline Operation Anomaly Mining and Spatiotemporal Correlation Study

Yang,

Liu,

Wang

et al. 2024

J. Pipeline Syst. Eng. Pract.

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Revolutionizing supermarket services with hierarchical association rule mining

Meftah¹,

Ounacer²,

Ardchir³

et al. 2023

Math. Model. Comput.

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The use of association rule mining techniques has become a focal point for many researchers seeking a better understanding of consumer behavior. By analyzing the relationships between products and their placement in aisles, valuable insights can be gained into the factors that influence product preservation in large-scale distribution environments. This approach has the potential to inform better decision-making processes and optimize product preservation outcomes, despite some limitations in the quality of the data available. Additionally, a hybridization approach was adopted by incorporating transactions from clients participating in a loyalty program to encourage large-scale distributions to gain a better understanding of customer behavior and improve their purchasing strategies. The goal of this research is to promote consistency between the real-world and virtual representations of customer behavior, ultimately leading to improved purchasing outcomes for large-scale distributions.

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An Association Rules-Based Method for Outliers Cleaning of Measurement Data in the Distribution Network

Cited by 3 publications

References 32 publications

Toward Enhanced Customer Transaction Insights: An Apriori Algorithm-based Analysis of Sales Patterns at University Industrial Corporation

Toward Enhanced Customer Transaction Insights: An Apriori Algorithm-based Analysis of Sales Patterns at University Industrial Corporation

Water Supply Pipeline Operation Anomaly Mining and Spatiotemporal Correlation Study

Revolutionizing supermarket services with hierarchical association rule mining

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