Data Preprocessing Based on Partially Supervised Learning

DOI

10.2991/icimm-16.2016.121How to use a DOI?

Keywords

data preprocessing; Web Log Mining; rule; partially supervised learning

Abstract

Data preprocessing is the foundation to improve the quality of data mining and determines the effect of Web mining. Currently, data for mining is typically collected from the server, but data set from the client is more accurate. In order to better deal with these data, we propose a data preprocessing method based on partially supervised learning. The paper discusses in detail data cleaning process based on partially supervised learning, and conducts experiments to verify the validity of the method employed, and ultimately determines the optimal number of training documents.

Copyright

© 2016, 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  - Na Liu
AU  - Guanglai Gao
AU  - Guiping Liu
PY  - 2016/11
DA  - 2016/11
TI  - Data Preprocessing Based on Partially Supervised Learning
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 678
EP  - 683
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.121
DO  - 10.2991/icimm-16.2016.121
ID  - Liu2016/11
ER  -