The 2012 International Workshop on Data Analytics and Mining in the Cloud
The Workshop intends to provide an opportunity to researchers and practitioners to present
and discuss current research directions and open issues in adopting Data Mining and Predictive
Analytics in Cloud Computing environments.
- papers submission deadline: August 20 (extended)
- papers notification: September 10
- papers camera ready due: September 28
- Workshop date: December 3-6, 2012
The synergy between the two research areas of Data Mining
and Cloud Computing can be observed from three main perspectives. First, Cloud Computing
provides a scalable and cost effective business model for computational intensive tasks and
is more often being considered as an alternative to dedicated computing infrastructures in
both academia and industry. Second, Data Mining can be adopted to improve the effectiveness
and efficiency of the characterization, management and control of Cloud resources.
Third, new application models and community efforts are expected to spawn from Cloud Computing
as a distributed platform, regardless if public, community, hybrid or private, for the
collaborative sharing of data and knowledge. In this scenario data analysts ought to play
a fundamental role in defining standards and developing tools seamlessly integrated in Cloud
environments. The complexity of numerous social, biological and communication systems is driving
many researchers towards the adoption of Data Mining approaches. The integration of these approaches
into Cloud Computing is so far based on ad-hoc solutions. Cloud Computing can facilitate the
adoption of complex workflows in a wide range of application domains. Cloud Computing and,
more specifically, the Platform as a Service (PaaS) model provides the opportunity for a paradigm
shift towards a competitive evolution of data mining workflows.
The Workshop intends to facilitate the exchange of ideas between two main research communities,
Cloud Computing and Data Mining. The workshop also intends to attract scientists from other
disciplines like Mathematics, Biology, Neuroscience, etc., which ultimately benefit from
mining their data in the Cloud.
Paper submissions and proceedings:
This workshop will only accept for review original papers that have not been previously published. Papers should be formatted based on the IEEE Transactions journals and conferences style; maximum allowed camera-ready paper length is six (6) pages. Submissions must be in Adobe PDF format, including text, figures and references.
Accepted papers will be published in the IEEE Cloudom2011 proceedings, for further information see the IEEE CloudCom 2012 paper submissions web page.