Work

Data Preprocessing Based on Partially Supervised Learning

Year: 2016

Type: conference-paper

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.

Source: International Conference on Information Engineering for Mechanics and Materials (ICIMM)

DOI: 10.2991/icimm-16.2016.121

Authors: Na Liu, Guanglai Gao, Guiping Liu

Institutions: Inner Mongolia University, Hetao College

Language: English

Topic: Web Data Mining and Analysis

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia

Awards: G1255837101, 面向蒙古语新闻语音的新事件检测方法研究