Review on mining data from multiple data sources

被引：57

作者：

Wang, Ruili ^{[1
]}

Ji, Wanting ^{[1
]}

Liu, Mingzhe ^{[2
]}

Wang, Xun ^{[3
]}

Weng, Jian ^{[4
]}

Deng, Song ^{[5
]}

Gao, Suying ^{[6
]}

Yuan, Chang-an ^{[7
]}

机构：

[1] Massey Univ, Inst Nat & Math Sci, Room 2-14,Math Sci Bldg, Auckland 0632, New Zealand

[2] Chengdu Univ Technol, Sch Network Secur, Chengdu 610059, Sichuan, Peoples R China

[3] Zhejiang Gongshang Univ, Sch Comp & Informat Engn, Hangzhou 310018, Zhejiang, Peoples R China

[4] Jian Univ, Coll Cyber Secur, Guangzhou 519632, Guangdong, Peoples R China

[5] Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing 210043, Jiangsu, Peoples R China

[6] Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China

[7] Guangxi Teachers Educ Univ, Sch Comp & Informat Engn, Nanning 530023, Peoples R China

来源：

PATTERN RECOGNITION LETTERS | 2018年 / 109卷

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Multiple data source mining; Pattern analysis; Data classification; Data clustering; Data fusion; HIGH-FREQUENCY RULES; ASSOCIATION RULES; FUSION; ALGORITHM; DATABASES; PATTERNS; CLASSIFICATION;

D O I：

10.1016/j.patrec.2018.01.013

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we review recent progresses in the area of mining data from multiple data sources. The advancement of information communication technology has generated a large amount of data from different sources, which may be stored in different geological locations. Mining data from multiple data sources to extract useful information is considered to be a very challenging task in the field of data mining, especially in the current big data era. The methods of mining multiple data sources can be divided mainly into four groups: (i) pattern analysis, (ii) multiple data source classification, (iii) multiple data source clustering, and (iv) multiple data source fusion. The main purpose of this review is to systematically explore the ideas behind current multiple data source mining methods and to consolidate recent research results in this field. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：120 / 128

页数：9

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