INTEGRATED DATA MINING FRAMEWORK FOR NATURAL RESOURCE EXPLORATION

被引：0
|
作者：
Shaheen, Muhammad [1 ]
Shahbaz, Muhammad [1 ]
Ahsan, Syed Muhammad [1 ]
Masood, Syed Athar [2 ]
机构：
[1] UET, Dept Comp Sci & Engn, Lahore, Pakistan
[2] NUST, EME Coll, Dept Engn Management, Rawalpindi, Pakistan
来源：
LIFE SCIENCE JOURNAL-ACTA ZHENGZHOU UNIVERSITY OVERSEAS EDITION | 2012年 / 9卷 / 01期
关键词：
Data Mining; Classification; Hydrocarbon; Clustering; Decision Tree;
D O I：
暂无
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The study is aimed at developing spatio temporal data mining framework for natural resource exploration. A framework will be said as spatio temporal if it deals with changes in space over time. The study revealed different applications of existing and newly proposed spatio temporal data mining techniques on huge databases collected from diverse sources. The work is integrated on the basis of different proposed Techniques in a unified framework which could serve as a basic skeleton for hydrocarbon prospection. [Muhammad Shaheen], Muhammad Shahbaz, Syed Muhammad Ahsan, Syed Ather Masood. Integrated Data Mining Framework for Natural Resource Exploration. Life Science Journal. 2012;9(1):314-316] (ISSN:1097-8135). http://www.lifesciencesite.com. 45
引用
收藏
页码：314 / 316
页数：3
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