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  • 标题:Market-Basket Analysis using Agglomerative Hierarchical approach for clustering a retail items
  • 本地全文:下载
  • 作者:Rujata Saraf ; Sonal Patil
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2016
  • 卷号:16
  • 期号:3
  • 页码:47-56
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:With the advent of data mining technology, cluster analysis of items is frequently done in supermarkets and in other large-scale retail sectors. Clustering of items has been a popular tool for identification of different groups of items where appropriate programs and techniques in data mining like Market-Basket analysis have been defined for each group separately with maximum effectiveness and return. For example, items frequently purchased together are placed in one place in the shelf of a retail store. There are various algorithms used for clustering. Hierarchical algorithms find successive clusters using previously established clusters. These algorithms usually are either agglomerative (""bottom-up"") or divisive (""top-down""). The paper presents the Market-Basket Analysis using Agglomerative (��Bottom-up��) hierarchical approach for clustering a retail items. Agglomerative hierarchical clustering creates a hierarchy of clusters which are represented in a tree structure called a Dendorogram. In agglomerative hierarchical clustering, dendrograms are developed based on the concept of ��distance�� between the entities or, groups of entities. . The clustering will done in such a way that the Purpose of Market-Basket Analysis will achieve.
  • 关键词:Market-Basket analysis; Hierarchical Clustering; Agglomerative Hierarchical Clustering; Dendrogram etc��
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