Identification of association rules in buying patterns of customers based on modified apriori and Eclat algorithms by using R programming language

Huseyinov, Ilham; Aytaç, Utku Can

doi:10.1109/ubmk.2017.8093450

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Both algorithms yield the same output, though the underlying data structure is different. The Eclat algorithm works really well with smaller datasets according to the researchers (Huseyinov and Aytac;.…”

Section: Association Rule Mining (Arm)mentioning

confidence: 97%

Clustering Based Approach to Enhance Association Rule Mining

Kanhere

Sahni

Stynes

2021

2021 28th Conference of Open Innovations Association (FRUCT)

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Section: Association Rule Mining (Arm)mentioning

confidence: 97%

Clustering Based Approach to Enhance Association Rule Mining

Kanhere

Sahni

Stynes

2021

2021 28th Conference of Open Innovations Association (FRUCT)

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“…The frequent itemset mining algorithm (Apriori algorithm) [ 33 , 34 , 35 , 36 ] used for I = {

,…,

} is the set of all items in the data, while T = {

,…,

} is the set of all transactions. A collection of 0 or more items is called an itemset.…”

Section: Detailed Description Of the Schemementioning

confidence: 99%

Trusted Data Storage Architecture for National Infrastructure

Wang

Rui

Xiao-long

et al. 2022

Sensors

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National infrastructure is a material engineering facility that provides public services for social production and residents’ lives, and a large-scale complex device or system is used to ensure normal social and economic activities. Due to the problems of difficult data collection, long project period, complex data, poor security, difficult traceability and data intercommunication, the archives management of most national infrastructure is still in the pre-information era. To solve these problems, this paper proposes a trusted data storage architecture for national infrastructure based on blockchain. This consists of real-time collection of national infrastructure construction data through sensors and other Internet of Things devices, conversion of heterogeneous data source data into a unified format according to specific business flows, and timely storage of data in the blockchain to ensure data security and persistence. Knowledge extraction of data stored in the chain and the data of multiple regions or fields are jointly modeled through federal learning. The parameters and results are stored in the chain, and the information of each node is shared to solve the problem of data intercommunication.

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Bi-Apriori-Based Association Discovery via Alarm Logs

Yao¹,

Wang³

2020

Advances in Intelligent Systems and Computing

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Identification of association rules in buying patterns of customers based on modified apriori and Eclat algorithms by using R programming language

Cited by 4 publications

References 2 publications

Clustering Based Approach to Enhance Association Rule Mining

Clustering Based Approach to Enhance Association Rule Mining

Trusted Data Storage Architecture for National Infrastructure

Bi-Apriori-Based Association Discovery via Alarm Logs

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