1. DISTRIBUTED DATA MINING PLATFORM BASED ON CLOUD COMPUTING
Duo Zhang & Guanqi Guo

2. Abstract
1.What the benefits that big data mining brings to enterprises.
2.Analysis advantages of cloud computing in this data explosion Era.
3.The defects of the traditional data mining.
4.Introduce the structure of service model of cloud computing data
mining which our team designed.
5. Different layers of the service model

3. Significance of Data mining for companies
1.No information is useless.
2.Only a few information is useful for enterprises.
Big data mining could help enterprises:
① Improve the quality of decision
② Improve risk assessment capabilities

4. Advantages of cloud computing
1.Definition of Cloud Computing.
2.Cloud computing big companies & Org’s choices & high performance.
Education Orgs
Chicago University’s Nimbus Cloud
Florida Cloud
3.Advantage of Cloud computing that benefit data mining.
①Powerful storage capacity
②Powerful computing capability
③On request

5. Defects of traditional data mining
1. Can not satisfy the computing ability for mega data.
2. Traditional data mining tools do not support data analysis
which database based on network.
3. Computing and analysis capacity are limited.
4. Not on demand.

6. Research process of team
Analysis advantages of cloud computing in this data Explosion Era.
Analysis the benefits that big data mining acting on enterprises
Discuss the defects of the traditional data mining
Discuss why cloud computing and data mining can be combined together
Compare with
Traditional data mining
Design the service process of cloud computing data mining
compare
Discuss and hypothesis the model and structure of cloud computing data mining
Google File System
Hadoop Distributed File System
compare

7. Service Structure Test Service Process Service Security Service
Integration Services
Process Service
Platform
Service
Application Service
Data Resource Service
Basic Service

8. Mining result Management
Application Layer
Application Devices
Web Pages
PCs
Mobile devices
………. A
Application Interface
User management
Request Management
Response Management
Mining result Management

9. Computational resource management
Platform Layer
Task description
Task management
Algorithm management
Computational resource management
Data management
Service combination
Service management

10. Infrastructure Layer Physical resources Cloud interface
Data Base
Data
base
…………….
Server
Server
database
Server

11. Citation Images Article
Nipic, internet era, baidu.com,5/24/2011,5/3/2016
University of Florida, Logo, ufl.edu,5/3/2016
University of Chicago, Logo, uchicago.edu,5/3/2016
nic91, galaxy, nipic.com, 10/05/2014,5/3/2016
Article
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Dikaiakos, Marios D., et al. "Cloud computing: Distributed internet computing for IT
and scientific research." Internet Computing, IEEE 13.5 (2009):
Tsoumakas, Grigorios, and Ioannis Vlahavas. "Distributed data mining."Encyclopedia of Data Warehousing and Mining (2009).
Jadeja, Yaju, and Kavan Modi. "Cloud computing-concepts, architecture and challenges.
" Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference
on. IEEE, 2012.

12. Thank You!