[Retracted] Using Clustering Analysis and Association Rule ...

This paper proposes a cross-marketing model based on an improved sequential pattern mining algorithm, where an improved algorithm AP (Apriori all PrefixSpan) ...

Retracted: Using Clustering Analysis and Association Rule ...

Retracted: Using Clustering Analysis and Association Rule Technology in Cross-Marketing ... Information. PDF · PDF. Tools. Export ...

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Retracted: Using Clustering Analysis and Association Rule ...

Retracted: Using Clustering Analysis and Association Rule Technology in Cross-Marketing-article.

Retracted: Using Clustering Analysis and Association Rule ...

Complexity, 2024. "Retracted: Using Clustering Analysis and Association Rule Technology in Cross-Marketing," Complexity, Hindawi, vol. 2024, pages 1-1, ...

Retracted: Using Clustering Analysis and Association ... - EconPapers

By Complexity; Retracted: Using Clustering Analysis and Association Rule Technology in Cross-Marketing.

Using Clustering Analysis and Association Rule Technology in ...

Retracted: Using Clustering Analysis and Association Rule Technology in Cross-Marketing-article.

RETRACTED - IOPscience

association analysis, cluster analysis, classification analysis, etc. ... use a method of classification rules of a hierarchical clustering ...

Using Clustering Analysis and Association Rule Technology in ...

J. Jokinen, T. Rty, and T. Lintonen, “Clustering structure analysis in time-series data with density-based clusterability measure,” IEEE/CAA Journal of ...

Retraction Note: Investigation on application of association rule ...

Use our pre-submission checklist. Avoid common mistakes on your manuscript. Retraction Note to: Cluster Computing (2019) 22:13703–13709 https ...

Retracted: : Early Warning of Financial Risk Based on K-Means ...

RETRACTED ARTICLE: Mass classification method in mammograms using correlated association rule mining ... research: a bibliometric analysis.

Analysis and research on library user behavior based on apriori ...

For example, by analyzing the use of library collections, libraries can decide whether to repair or update books [3]. Association rule mining is the process of ...

RETRACTED ARTICLE: Hybrid method for mining rules - ProQuest

Data mining may enable healthcare organizations, with analysis of the ... Association rule mining (ARM) is an effective technique for detecting the ...

Retracted: Application and Analysis of Hypergraph Association Rule ...

Recent years, the quality of the extracted association rules has drawn more and more attention from researchers in data mining community. One ...

Retraction Retracted: Analysis on the Establishment and ...

weighted clustering algorithm to perform cluster analysis ... effective multilayer association rule mining when dealing with large transaction databases, such as ...

Association Rule Analysis of Influencing Factors of Literature ... - NCBI

Through the collected original data, this article uses Apriori algorithm to screen the association rules affecting students' interest in ...

Investigation on application of association rule algorithm in English ...

Therefore, based on the analysis of the “mining model” of support for the traditional association rules, this paper optimizes and adjusts the ...

Retraction Retracted: Library Management System ... - R Discovery

to carry out data classification, clustering, association rules, or time series analysis [12]. Data mining tasks can be descriptive, describing the general ...

Building the electronic evidence analysis model based on ... - OUCI

RETRACTED ARTICLE: Building the electronic evidence analysis model based on association rule mining and FP-growth algorithm.

Uncertainty Reduction of Unlabeled Features in Landslide Inventory ...

Second, the Apriori algorithm, based on association rule mining, was used to identify common relations in the inventory using landslide antecedent factors ( ...