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With the development of Internet economy, many scientific researchers focus on mining knowledge of consumer behavior using big data analysis technology. Because consumption decisions are influenced by not only personal characteristics but also social trends and environment, it is one\u2010sided to analyze the impact of one single factor on the phenomenon of consumption. The authors of this paper combine the consumption structure analysis method and data processing technology using data from an e\u2010commerce platform to extract the consumption structure of cities, compare the structural differences between different periods, and then discover consumption upgrading according to swarm intelligence. The experiments prove the efficacy of the algorithm proposed in this paper compared to other similar algorithms using several different datasets, which illustrates the algorithm\u2019s efficacy and stable performance in consumption structure analysis.<\/jats:p>","DOI":"10.1155\/2019\/6543590","type":"journal-article","created":{"date-parts":[[2019,3,12]],"date-time":"2019-03-12T23:31:09Z","timestamp":1552433469000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["EC\u2010Structure: Establishing Consumption Structure through Mining E\u2010Commerce Data to Discover Consumption Upgrade"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7069-0367","authenticated-orcid":false,"given":"Lin","family":"Guo","sequence":"first","affiliation":[]},{"given":"Dongliang","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,3,12]]},"reference":[{"key":"e_1_2_11_1_2","first-page":"49","article-title":"Using the permanent income hypothesis for forecasting","volume":"81","author":"Ireland P. 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