Improved Data Analysis Algorithm based on Multi-feature Network Construction

DOI

10.2991/iccia-19.2019.17How to use a DOI?

Keywords

Network data; Feature set analysis; Data prediction.

Abstract

Network information has become an important factor in today's social environment and network environment. With the large coverage of network data traffic and the new generation of network technology, illegal network data is also constantly invading the network environment, which has caused a serious network security threat. Therefore, the analysis and research of network data and the pre-judgment of feature types are of great significance. Based on the existing theoretical techniques, this paper proposes a Data Processing Algorithm Based on The Website Coding Structure (DPA) and a Multi-feature Network Construction Improvement Algorithm (MCIA), processing network data and analysis type prediction features. Experiments show that the data processing algorithm based on the website coding structure has the advantage of targeted processing of website data. It also verifies the validity of the proposed Digital Neighborhood Feature Set Algorithm (DNFA) and the improved algorithm for multi-feature network construction for data analysis. Application, compared with the existing single feature set, the pre-judgment basis for constructing multiple feature sets is more reliable, and the pre-judgment basis is more credible.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenhua Guo
PY  - 2019/07
DA  - 2019/07
TI  - Improved Data Analysis Algorithm based on Multi-feature Network Construction
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 115
EP  - 120
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.17
DO  - 10.2991/iccia-19.2019.17
ID  - Guo2019/07
ER  -