Semantics of Data Mining Services in Cloud Computing


Users now have access to extremely comprehensive data analysis tools that include all of the benefits that come along with working in an environment of this kind as a result of the recent incorporation of new Data Mining and Machine Learning services within Cloud Computing providers. The descriptions and definitions of Cloud Computing for Data Mining are published by the various service providers in a wide variety of formats, many of which are incompatible with those used by other service providers. To maintain the usability and especially the portability of these services regardless of the software/hardware support or even the differences between cloud platforms, it is essential to have the capability to describe complete Data Mining services. This is true from a functional standpoint. The primary objective of this article is to design a Data Mining service definition that enables the composition of an entire service using a single, straightforward definition. This will make it possible for a Data Mining workflow to be ported and deployed in the services of multiple providers or even in a Market Place for ready-to-consume services of this type. This article presents a semantic scheme for the definition and description of complete Data Mining services. This scheme takes into consideration both the management of the service by the provider (price, authentication, Service Level Agreement, etc.) as well as the definition of the Data Mining workflow as a service. It is an important step toward the eventual standardization and industrialization of Data Mining services and represents a significant contribution to this process. For the purpose of determining whether or not the plan is sound, a description has been given of a selection of services offered by Data Mining service providers, as well as a definition of what constitutes a full service for a Random Forest algorithm. In addition, a practical scenario has been developed, which involves the creation of a deployment platform for Data Mining services in order to give functional support to the scheme. This helps to illustrate the practical benefits that the proposal has in store for the end user.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : A Patient-Centric Healthcare Framework Reference Architecture for Better Semantic Interoperability based on Blockchain, Cloud, and IoT ABSTRACT: The application-centric perspective gives rise to the distributed
PROJECT TITLE :Discovering Latent Semantics in Web Documents Using Fuzzy ClusteringABSTRACT:Web documents are heterogeneous and advanced. There exists sophisticated associations within one internet document and linking to the
PROJECT TITLE : Secure and Efficient Data Transmission for Cluster-Based Wireless Sensor Networks - 2014 ABSTRACT: Secure data transmission is a critical issue for wireless sensor networks (WSNs). Clustering is an effective
PROJECT TITLE : R3E Reliable Reactive Routing Enhancement for Wireless Sensor Networks - 2014 ABSTRACT: Providing reliable and efficient communication under fading channels is one of the major technical challenges in wireless
PROJECT TITLE : PSR A Lightweight Proactive Source Routing Protocol For Mobile Ad Hoc Networks - 2014 ABSTRACT: Opportunistic data forwarding has drawn much attention in the research community of multihop wireless networking,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry