SEMANTICS OF DATA MINING SERVICES IN CLOUD COMPUTING

Abstract

The recent addition of new Data Mining and Machine Learning services inside Cloud Computing
providers empowers users with incredibly broad data analysis capabilities that include all of the benefits
of this kind of environment. Cloud Computing service providers for Data Mining offer descriptions and
definitions in a variety of formats that are often incompatible with the formats of other providers. From a
practical standpoint, the ability to describe entire Data Mining services is critical for maintaining usability
and, notably, portability of these services regardless of software/hardware support or even variations
across cloud platforms. In this work , We design two applications such as cloud and user. The cloud
application get a trained random forest machine learning algorithm on diabetes dataset after preprocessing
the data set. After training random forest algorithm, we can publish this services by start cloud server.
Any user from same or different system can upload test data from ‘User’ application and then this user
application will connect to cloud machine learning service and then send input dataset to cloud and cloud
application will predict disease from test dataset.