Paper Details

Cloud computing is the latest technology that delivers computing resources as a service such asinfrastructure, storage, application development platforms, software on Internet-based. Cloud computing is focus ondelivery reliable, secure, fault tolerant, sustainable and scalable infrastructures for hosting on Internet Basedapplication services. On basis of infrastructure service huge amount of data is stored in the cloud from distributednodes which needs retrieved very efficiently. In Cloud Computing using of Clustering Process from HeterogeneousNetwork fetch the data. Hierarchical clustering is group data over a variety of scales by creating a cluster tree ordendrogram. The retrieval of information from cloud takes a lot of time as the data is not stored in an organized way.Data mining is thus important in cloud computing. So integrate data mining and cloud computing which will provideagility and quick access to the technology. The integration should be so strong that it will be able to deal withincreasing production of data and will help in efficient mining of massive amount of data. In this dissertation workwe provide brief description about cloud computing and clustering techniques. This dissertation work proposes amodel that applies move traditional improved Agglomerative Hierarchical Clustering Algorithms onHeterogeneous Network.

Mrs. Parekh Madhuri Harsh, Prof.Jay M Jagani, “ENHANCING CLUSTERING OF CLOUD DATASETS USING IMPROVED AGGLOMERATIVE ALGORITHMS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 12, pp. 15-20, December 2014.