Design and Application of Intelligent Forensics Schema For Mass Unstructured Data

DOI

10.2991/pntim-19.2019.27How to use a DOI?

Keywords

Intelligent Forensics Software, Mass Unstructured Data; Naming Entity Recognition; Entity Relation Extraction; Online Ball Gambling

Abstract

The proportion of unstructured data is much bigger than that of structured data. However, the research carried out in the field of the methods of unstructured data processing and analysis is not as intensive as that of structured data processing and analysis. This paper mainly involves the importance of the research on unstructured data. From the perspective of digital investigation, it further interprets the key techniques used in the processing and analysis of unstructured data, such as naming entity recognition, entity relation extracting, Web data extracting, etc. Combining the self-developed “Intelligent Analyzing System for Mass Case Information” and taking handling the online ball gambling cases in Chinese Mainland as the background in terms of the usage and application, this paper gives detailed explanation to the application of unstructured data processing and analysis in digital investigation in detail.

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  - Luo Wenhua
AU  - Su Kexin
PY  - 2019/11
DA  - 2019/11
TI  - Design and Application of Intelligent Forensics Schema For Mass Unstructured Data
BT  - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
PB  - Atlantis Press
SP  - 128
EP  - 132
SN  - 2589-4943
UR  - https://doi.org/10.2991/pntim-19.2019.27
DO  - 10.2991/pntim-19.2019.27
ID  - Wenhua2019/11
ER  -