IWCDM 2013 - International Workshop on Cloud Data Mining
Topics/Call fo Papers
Cloud Computing, a phrase originally coined to represent Grid Computing. Recently Cloud Computing has gained substantial coverage due to the huge amount of On-line services and to the move from hardware and software innovation to network in the industries. Cloud Computing has significant potential in providing new design methods as well as new ways of teaching and practicing in the existing industry. It helps to keep the minimum expenditure to the government and stockholders by using a central platform. Due to the current global financial crises it became very popular in the IT industry. It has created the potential for a number of new forms of working manner, user behaviour and collaboration. At the same time it has also led to a gap in the advanced working environment.
This workshop will discuss the experiences of the researchers in their journey into existing Cloud Computing technologies and services. This will discuss specific uses of Data Mining techniques in the Cloud Computing domain. Many recent studies have already shown that the effectiveness of Data Mining techniques in the Cloud domain. This workshop intends to bring together researchers, developers, and practitioners from academia, government, and industry to discuss new and emerging trends in cloud computing technologies, programming models, and software services and outline the data mining techniques that can efficiently exploit this modern computing infrastructure. This workshop also seeks to identify the greatest challenges in securing Cloud Computing infrastructure to stop any attackers using Data Mining Techniques. Therefore, we invite all researchers, developers, and users to participate in this event and share, contribute, and discuss the emerging challenges in developing data mining solutions and frameworks around Cloud Computing domain.
Workshop Topics:
Novel model and tool for Cloud Data Mining
Securing Cloud domain using Data Mining techniques
Minimize Cloud service cost using Data Mining techniques
Minimize data storage space using Data Mining techniques
Cloud provider performance evaluation using Data Mining techniques
Secure Cloud server access key using Data Mining techniques
Any application of Data Mining techniques in the Cloud domain
This workshop will discuss the experiences of the researchers in their journey into existing Cloud Computing technologies and services. This will discuss specific uses of Data Mining techniques in the Cloud Computing domain. Many recent studies have already shown that the effectiveness of Data Mining techniques in the Cloud domain. This workshop intends to bring together researchers, developers, and practitioners from academia, government, and industry to discuss new and emerging trends in cloud computing technologies, programming models, and software services and outline the data mining techniques that can efficiently exploit this modern computing infrastructure. This workshop also seeks to identify the greatest challenges in securing Cloud Computing infrastructure to stop any attackers using Data Mining Techniques. Therefore, we invite all researchers, developers, and users to participate in this event and share, contribute, and discuss the emerging challenges in developing data mining solutions and frameworks around Cloud Computing domain.
Workshop Topics:
Novel model and tool for Cloud Data Mining
Securing Cloud domain using Data Mining techniques
Minimize Cloud service cost using Data Mining techniques
Minimize data storage space using Data Mining techniques
Cloud provider performance evaluation using Data Mining techniques
Secure Cloud server access key using Data Mining techniques
Any application of Data Mining techniques in the Cloud domain
Other CFPs
- Doctoral Symposium on Artificial Intelligence - SDIA 2013
- 1st International Web Observatory Workshop
- 13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications (IFAC LSS 2013)
- 2nd International Symposium on Language and Communication: Exploring novelties
- Special Issue on “Large Scale Multimedia Semantic Indexing”
Last modified: 2013-02-13 23:05:09