Complex Data Analysis for Products Bundling

International Conference on Informatics, Engineering, Science and Technology

计算机科学;工业技术

Purfini, A.P.^1

Department of Computerized Accounting, Universitas Komputer Indonesia, Jl. Dipatiukur 112-116, Bandung, Indonesia^1

关键词: Complex data;    Consumer reviews;    Data sorting;    K-means clustering method;    Numerical data;    Textual data;    Transaction data;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/407/1/012102/pdf
DOI  :  10.1088/1757-899X/407/1/012102

来源: IOP

【 摘 要 】

The aims of this research is meant to analyze product bundling involving complex data composed of consumer reviews and selling transaction numerical data. One of the Association rule implementations is by product bundling analysis. Textual data extraction used sentiment analysis. Bundling analysis involving the corresponding complex data used Association Rule and K-Means Clustering method for data sorting used to form transaction data as input to the Association Rules. Result this research the products to be bundled are products that have qualified characteristics taking into account buyer reference and sales data. It is expected that the proposed method to find the bundle of products can increase the potential of sales.