Yuanyuan Zhu

ORCID: 0000-0003-4380-0043
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About
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Research Areas
  • Web Data Mining and Analysis
  • Advanced Computing and Algorithms
  • Simulation and Modeling Applications
  • Sentiment Analysis and Opinion Mining
  • Semantic Web and Ontologies
  • Spam and Phishing Detection
  • Service-Oriented Architecture and Web Services
  • Advanced Image and Video Retrieval Techniques

University of Southampton
2019

Ministry of Natural Resources
2017

Shenzhen Institutes of Advanced Technology
2016

Hebei University
2011

A 3-D Shenzhen City Web platform based on the virtual reality geographical information system is presented. global browser employed to load multiple types of demand data from city, such as building model data, residents' information, and real-time historical traffic data. Using these a analysis visualization city's are conducted platform. The amount that can be visualized with this very large, GIS-based navigational scheme enables great flexibility access different available sources. All...

10.1109/access.2016.2517076 article EN cc-by-nc-nd IEEE Access 2016-01-01

Information extraction may help the users to query their needed information from endless useful information. Now there are a variety of technologies, and we usually use search engines find our need Internet. But it is difficult "real" want. So in this paper, concept ontology analyze structure content website, build model, order extract based on e-commerce website for users. In end, paper makes an experiment test text tool GATE websites evaluate results objectively.

10.1109/iccase.2011.5997640 article EN 2011-07-01

Today, more people use social networking platforms to convey their desires and recent needs. Actually, there are numerous daily posts carrying commercial intention. The detection of these kinds user intention would be quite valuable, especially for the platform itself. Firstly, it could help provide precise instant recommendations users its own business interests. Secondly, mining works may link users' needs by detecting potential buyers sellers specific intentions which can benefit...

10.1109/cybersa.2019.8899491 article EN 2019-06-01
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