Study on Feature Selection and Feature Deep Learning Model For Big Data

被引：2
|
作者：
Yu, Ping [1 ]
Yan, Hui
机构：
[1] Changchun Inst Technol, Changchun 130012, Jilin, Peoples R China
来源：
2018 3RD INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE) | 2018年
关键词：
data mining; feature selection; feature learning; big data;
D O I：
10.1109/ICSCSE.2018.00171
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the era of big data, agricultural big data effectively mined in the agricultural cloud service platform helps to provide intelligent services for agricultural production and managementill. Two big data feature selection methods are proposed based on the presence or absence labels of big data and potential value of data is mined better by effectively utilizing big data feature learning technologies. Transformation of data from data with primitive rough extraction features to data with features with stronger separability and high-level semantic features is of great significance for target task learning.
引用
收藏
页码：792 / 795
页数：4
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