Data Mining Using Hierarchical Agglomerative Clustering Algorithm in Distributed Cloud Computing Environment
نویسندگان
چکیده
منابع مشابه
Data Replication-Based Scheduling in Cloud Computing Environment
Abstract— High-performance computing and vast storage are two key factors required for executing data-intensive applications. In comparison with traditional distributed systems like data grid, cloud computing provides these factors in a more affordable, scalable and elastic platform. Furthermore, accessing data files is critical for performing such applications. Sometimes accessing data becomes...
متن کاملEfficient Data Mining with Evolutionary Algorithms for Cloud Computing Application
With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...
متن کاملAgglomerative Hierarchical Clustering Algorithm- A Review
Clustering is a task of assigning a set of objects into groups called clusters. In data mining, hierarchical clustering is a method of cluster analysis which seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two types:Agglomerative: This is a "bottom up" approach: each observation starts in its own cluster, and pairs of clusters are merged as one...
متن کاملA parallel algorithm for agglomerative hierarchical clustering using complete link
Hierarchical clustering algorithms are usually applied to bioinformatic procedures such as grouping of genes and proteins with similar structure, reconstruction of evolutionary trees, gene expression analysis, etc [2] [1]. Such applications usually require high memory size and CPU time, therefore, the parallel implementation ot these algorithms is a good option [4]. We present a parallel algori...
متن کاملHierarchical Sequence Clustering Algorithm for Data Mining
Bioinformatics emerged as a challenging new area of research and brought forth numerous computational problems. Here computers are used to gather, store, analyze and merge biological data. In this paper, the problem of clustering interval-scaled data and sequence data is analyzed in a new approach using Hierarchical Sequence Clustering. In Sequence clustering, it is necessary to find the simila...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Theory and Engineering
سال: 2013
ISSN: 1793-8201
DOI: 10.7763/ijcte.2013.v5.741