By Wenguang Chen, Guisheng Yin, Gansen Zhao, Qilong Han, Weipeng Jing, Guanglu Sun, Zeguang Lu

ISBN-10: 9811004560

ISBN-13: 9789811004568

ISBN-10: 9811004579

ISBN-13: 9789811004575

This ebook constitutes the refereed complaints of the 1st nationwide convention on huge information expertise and purposes, BDTA 2015, held in Harbin, China, in December 2015.

The 26 revised papers provided have been rigorously reviewed and chosen from a number of submissions. The papers deal with concerns reminiscent of the garage expertise of massive information; research of massive facts and knowledge mining; visualization of massive info; the parallel computing framework less than large facts; the structure and easy idea of huge facts; assortment and preprocessing of huge information; leading edge purposes in a few components, equivalent to web of items and cloud computing.

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Extra resources for Big Data Technology and Applications: First National Conference, BDTA 2015, Harbin, China, December 25-26, 2015. Proceedings

Example text

In Sect. 6, we conclude this paper. 2 Related Work Some social science researchers in China have worked on the social stability situation analysis, index system construction and management system development. Li [2] gives an empirical analysis on the influence factors of social stability in the frontier minority areas from two aspects: the fact evaluation index and the stable confidence index on the basis of structural survey statistics. In documents [4, 6], the economic significance of happiness index, the construction of the index system, as well as the collection and the empirical analysis of happiness index were studied.

This form of purchase behavior is called a composite purchase behavior. It is difficult to find the association between implicit intention and purchasing behavior data. The traditional personalized recom‐ mendation method does not take the influence of implicit will on the model in to account. In this paper, a large data intelligent platform is proposed, which is based on the large data analysis technique and the distributed parallel computing capability [6]. A new model of mobile personalized recommendation is proposed and the validity and supe‐ riority of the model are proved by experiments.

9. Pixel chart using zooming 4 Conclusion Several kinds of multidimensional data visualization technologies are combined together in this paper, through the interactive technology realized by parallel coordi‐ nates, histogram, and pixel chart visual analysis method. On the one hand, make full use of the advantages of various visualization technologies from a different perspective to reveal the multidimensional data; On the other hand, users are provided with convenient and flexible interactions which are easier for users to analyze and understand the data.

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Big Data Technology and Applications: First National Conference, BDTA 2015, Harbin, China, December 25-26, 2015. Proceedings by Wenguang Chen, Guisheng Yin, Gansen Zhao, Qilong Han, Weipeng Jing, Guanglu Sun, Zeguang Lu


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