OLAP cube partitioning based on association rules method

Letrache, Khadija; Beggar, Omar El; Ramdani, Mohammed

doi:10.1007/s10489-018-1275-2

Cited by 11 publications

(6 citation statements)

References 19 publications

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“…The purpose of the core creative points is to create an emotional resonance and value recognition with consumers. As the two-dimensional space culture itself is spontaneously produced by youth groups, it is possible for brands to accomplish the communication of the core creative points smoothly by leveraging the advantages of two-dimensional IP [ 24 , 25 ].…”

Section: Methodology and Algorithmmentioning

confidence: 99%

Brand Marketing Leveraging the Advantage of Emoji Pack Relying on Association Rule Algorithm in Data Mining Technology

Tian¹

2022

Computational Intelligence and Neuroscience

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The random and disordered configuration of expression package image, text, and context is in line with the emotional consumption trend of young groups, so it has become a kind of image symbol favored by young groups. How to integrate the text and images related to emoticons and carry out emotion analysis in a specific consumer environment is the focus of attention. In view of these needs and defects, this study uses the association rule algorithm in data mining technology to explore brand marketing targeting different consumers. Taking the nonverbal symbols on social media as the research object, this study collects and mines the download ranking and appreciation of the expression package of “WeChat expression open platform.” The persistence of users’ use of expression package has the characteristics of power distribution. When choosing, there are sprouting attributes and dynamic and serialized selection preferences. The advantages of emoticon package are used, brand communication and marketing are strengthened, and effective brand marketing analysis is implemented. The simulation results show that by taking advantage of the strong communication and appeal of the expression package, the brand will help to expand the contact surface of the marketing brand concept. Secondly, as a gathering community, expression packs are divided into different circle groups between and within groups, which helps brand marketing realize precision marketing based on “strong connection” with the help of expression packs and promote the occurrence of consumer behavior.

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Section: Methodology and Algorithmmentioning

confidence: 99%

Brand Marketing Leveraging the Advantage of Emoji Pack Relying on Association Rule Algorithm in Data Mining Technology

Tian¹

2022

Computational Intelligence and Neuroscience

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“…English instruction may benefit from its benefits of liberalization, diversity, and real time, which are worth additional investigation and careful examination. There are no time or place restrictions for MOOC learning, and the method of instruction is adaptable, making it ideal for pre-and postassessment preparation [2]. Short and thorough video material and unique modularity characterize MOOCs in essence.…”

Section: Introductionmentioning

confidence: 99%

An Association Rule-Based Multiresource Mining Method for MOOC Teaching

Jia

Madina

2022

Computational and Mathematical Methods in Medicine

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The selection of MOOC teaching resources is influenced by diversified resource positioning methods, which leads to low index efficiency of resource mining. Therefore, this paper proposes a multiresource mining method based on association rules to collect the learning behavior data of MOOC users and establish the MOOC teaching resource warehouse. Aiming at the attribute set of information association positioning, the association rules of teaching resources are designed. In addition, the association rules are combined with the shortest path scheduling scheme of teaching resources to establish the location and mining of diversified MOOC teaching-associated resources. Finally, the clustering method is used to process the results of teaching resource mining and complete the clustering of diversified teaching resources. Experimental results show that the index time required by the proposed mining method is 0.1 s, which is only 1/6 of other resource mining methods.

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“…In recent years, with the rapid development of the big data network industry, more and more application terminals are connected to the big data network. The development of cloud computing provides new solutions and solutions for network data mining [29,30]. Based on fuzzy association rules, taking the cloud computing platform as the core, this paper constructs a cross-dimension mining model of public opinion data in online education according to the results of dimension association analysis and preprocessing, to lay a solid foundation for public opinion analysis in online education.…”

Section: Implementation Of Data Miningmentioning

confidence: 99%

Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules

Lin

2021

Mobile Netw Appl

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The multi-dimensional characteristics of public opinion in online education lead to the difficulty of data cross-dimensional mining. To solve this problem, this paper designs a cross-dimensional data mining model of public opinion in online education based on fuzzy association rules. Based on the public opinion subject, object, and ontology to analyze the characteristics of public opinion in online education, Yaahp software is used to calculate the influence factor weight of public opinion in online education. According to the weight analysis results, the relationship between the dimensions of various public opinion data is clarified by using data semantic association. This paper introduces the fuzzy set theory into the database and uses crawlers to obtain public opinion data and stores them in the database, to complete the data preprocessing through distributed text preprocessing, feature selection distributed computing, and text vectorization distributed computing. Taking the cloud computing platform as the core, the cross-dimension mining model of public opinion in online education data is constructed according to the dimension correlation analysis and preprocessing results. The simulation results show that the model has the advantages of wide range, fast speed, and high accuracy, and can provide data support for education reform.

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OLAP cube partitioning based on association rules method

Cited by 11 publications

References 19 publications

Brand Marketing Leveraging the Advantage of Emoji Pack Relying on Association Rule Algorithm in Data Mining Technology

Brand Marketing Leveraging the Advantage of Emoji Pack Relying on Association Rule Algorithm in Data Mining Technology

An Association Rule-Based Multiresource Mining Method for MOOC Teaching

Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules

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