A Distributed Framework for Mining Financial Data

被引：0

作者：

Ding, Alan Hong Wai ^{[1
]}

Lau, Phooi Yee ^{[1
]}

Liew, Soung-Yue ^{[1
]}

Teoh, Ee Na ^{[1
]}

Nazir, Amril ^{[2
]}

Chong, Poh Kit ^{[2
]}

Karuppiah, Ettikan K. ^{[2
]}

Yassin, Yaszrina Mohamad ^{[2
]}

机构：

[1] Jalan Univ, Univ Tunku Abdul Rahman, Fac Informat & Commun Technol, Kampar 31900, Perak, Malaysia

[2] Technol Pk Malaysia, MIMOS BERHAD, Informat Commun Technol Cluster, Kuala Lumpur 57000, Malaysia

来源：

2012 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM) | 2012年

关键词：

data mining; distributed processing; open source platform; cloud computing;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Financial institutions are struggling with the challenges of managing and analyzing large dataset, especially if the dataset are accessed and shared among various subsidiaries from different location. These existing organizations, in the past, often employed a centralized control over their dataset as a way to curb data integrity and data solidarity. In this instance, a central processing unit, often a single machine, could consume all resources, else not affording to process the data altogether. To solve these incumbent problems, distributed computing techniques arc being introduced to improve the efficiency of data processing. In this project, we present a framework to distribute processing resources for data mining tool, i.e. to provide the ability to distribute the processes, over a cloud software stack using open source tools and platforms. As a conclusion to this framework, we discussed the open source tools and platforms along with our preliminary investigation results.

引用

页数：6

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