Study on Governmental Cultural Resources Purchase Management Based on Public Information Behavior Big Data-Reference-Cited by-同舟云学术

Study on Governmental Cultural Resources Purchase Management Based on Public Information Behavior Big Data

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '17
language:
Short-container-title:

Author:

Ying Yang¹,Xialing Tang²,Wei Tang¹

Affiliation:

1. University of Electronic Science and Technology of China

2. Sichuan Tourism University, China

Publisher

ACM Press

Reference9 articles.

1. Dealing with data. Science. 2011.331(6018):639--806

2. IFLA.IFLA/UNESCOPubliclibrarymanifesto.1994.OL.http//archive.ifla.org/VII/s8/uneseo/manif.htm.

3. Xing wenming, Si li. 2012. Feasibility Analysis of Users' Participation in Library Information Organization in Web2.2 Enviroment-Empirical Reasearch Based on User Acceptance. J. Library Development.2012(4):31--35

4. Hodges D, Preston C., Hamilton M. J. 2010. Patron- initiated collection development: Progress of a paradigm shift. J. Collection Management, 2010, 35(3/4): 208--221.

5. Anderson K. J., Freeman R. S., Herubel J., et al. 2010. Liberal arts books on demand: A decade of patron- driven collection development, part1. J. Collection Management,2010,35(3/4): 125--141.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Power Financial Information Management Based on Big Data;Lecture Notes in Electrical Engineering;2024

2. Economic Growth Mechanism of County-to-District Conversion and Its Dialectical Relationship with City Shrinkage: Case Study of County-to-District Conversion in Hangzhou, China;Journal of Urban Planning and Development;2020-12

3. Theory and measurement model of administrative region potential from a perspective of administrative division adjustment: Taking Chongqing city as a case study;Journal of Geographical Sciences;2020-07-13

4. A Computational System for Structural Visual Analysis of Labor Accident Data;Advances in Visual Computing;2019