A Novel Granularity-based Classification in Cloud Environment

Abstract

Abstract. Cloud computing service is a new computing paradigm which consists of distributed and large scale computing resources. Effective classification managements for the resources is necessary. In this paper, we describe some concept and principle about classification, and present a classification algorithm based on non-uniform granularity. Experiments results carried on the blog posts illustrate the effectiveness of the new algorithm.

Nonuniform Granularity‐Based Classification in Social Interest Detection

“…Although information granularity approach is rarely utilized on resources classification, it has been applied into many other fields, such as rough set theory, divide and conquer, machine learning, cluster analysis, and databases. We extend our previous work [10] by adopting a fast-start strategy proposed in [11] as the benchmark for adjusting the cutting granule dynamically. Furthermore, the experiment results prove that the proposed algorithm using granularity principle can achieve better classification performance for large scale resources.…”