版权说明 操作指南
首页 > 成果 > 成果详情

Association rules mining over data streams: Review

认领
导出
下载 Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
Tan, Jun*
通讯作者:
Tan, Jun
作者机构:
[Tan, Jun; Tan, J] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.
通讯机构:
[Tan, Jun] C
Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
Association rules;Data model;Data streams;Frequent patterns
期刊:
Applied Mechanics and Materials
ISSN:
1660-9336
年:
2013
卷:
256-259
期:
PART 1
页码:
2890-2893
会议名称:
2nd International Conference on Civil Engineering and Transportation (ICCET 2012)
会议论文集名称:
Applied Mechanics and Materials
会议时间:
OCT 27-28, 2012
会议地点:
Guilin, PEOPLES R CHINA
会议主办单位:
Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.
会议赞助商:
Liaoning Tech Univ, Hong Kong Ind Technol Res Ctr
主编:
Zhang, XD Li, HN Feng, XT Chen, ZH
出版地:
KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
出版者:
TRANS TECH PUBLICATIONS LTD
ISBN:
978-3-03785-565-2
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
Data streams are continuous, unbounded and coming with high speed which put forward a strong challenge against traditional association rules mining algorithms. In this paper, we give a comprehensive summary on association rules mining algorithm from three side including single-pass scanning algorithm, data processing model, memory optimization. At last, we discuss...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com