Archive:: International Journal on Data Science and Technology:: Science Publishing Group

Volume 2, Issue 6, November 2016

Customer Behavior Analysis on a Tmall E-commerce Shop

Renhao Jin, Song Han, Tao Liu, Songnan Xi

Issue: Volume 2, Issue 6, November 2016

Pages: 57-61

Received: 5 October 2016

Accepted: 11 November 2016

Published: 25 November 2016

DOI: 10.11648/j.ijdst.20160206.11

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Abstract: In recent years, China online marketing is very hot, and a lot of online shops run in the Tmall.com. This paper does an analysis of customer shopping behaviors in a certain e-commerce shop in Tmall. The shop is named X in this paper for privacy. Based on the descriptive analysis, it finds the profit customers and profit products in the shop. Then K... Show More

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A Hybrid Generic Algorithm for Dynamic Data Mining in Investment Decision Making

Kangzhi Yu, Yufang Li, Zhengying Cai

Issue: Volume 2, Issue 6, November 2016

Pages: 62-71

Received: 16 October 2016

Accepted: 8 November 2016

Published: 9 December 2016

DOI: 10.11648/j.ijdst.20160206.12

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Abstract: To solve the risks and uncertainty problem in investment decision-making, a dynamic data mining architecture is introduced here. First, the investment decision-making process is examined and the involved risks are analyzed. Accordingly, dynamic data mining architecture is proposed here with the dynamic search ability of the generic algorithm. Secon... Show More

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On the Normalization of Data in Chinese Meanings

Luo Yan, Wang Youqun, Wu Yong

Issue: Volume 2, Issue 6, November 2016

Pages: 72-75

Received: 24 October 2016

Accepted: 18 November 2016

Published: 20 December 2016

DOI: 10.11648/j.ijdst.20160206.13

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Abstract: Data normalization is important for data analysis so there are many methods of data normalization. Also because of many differences in various disciplines and fields, the concepts and methods of data normalization in literature appear vague and confusing in Chinese translations. In this paper, data normalization and data standardization are two mai... Show More

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A Framework for Evaluating Data Quality on Military Enterprise Networks

Lee P. Battle, Edward F. Harrington

Issue: Volume 2, Issue 6, November 2016

Pages: 76-83

Received: 15 August 2016

Accepted: 19 November 2016

Published: 21 December 2016

DOI: 10.11648/j.ijdst.20160206.14

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Abstract: This paper introduces a framework to determine data quality on enterprise networks for net-centric and net-ready initiatives as introduced by the US Department of Defense (DoD). Traditionally quality of data delivered to an enterprise user focuses on network performance, i.e. quality of service (QoS). It is proposed to add two new attributes pertai... Show More

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