期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2014
卷号：8
期号：10
页码：167-178
DOI：10.14257/ijseia.2014.8.10.15
出版社：SERSC
摘要：Big data analytics has received wide attention by information technology industries. It has been done in quantitative and statistic viewpoints. Observing huge amount of data, it is possible without doubt to establish a model that may predict purchase behaviors of consumers. But this approach can neither explain what brings the consumers to such decisions nor predict future purchase behavior of other product categories. Furthermore, it is not possible to reason about consumers' preferential differences that make choose or avoid certain places and shops. To answer this question, this paper argues that a qualitative analysis based on consumption values will be an alternative, and proposes a conceptual model of extracting consumption values from big data using clothing purchase as a case study.
