Informatics Publishing Limited

R. Sumithra ¹, Sujni Paul ², V. Thavavel ³

Affiliations
1 School of Computer Science, CMS College, Coimbatore, IN
2 Department of MCA, Oxford College of Engineering, Bangalore, IN
3 Department of Computer Applications, Karunya University, Coimbatore, IN

Abstract

This paper presents a review of how data mining is used in cloud computing as discussed in various research contributions. Cloud computing has become a viable mainstream solution for data processing, storage and distribution. It promises on demand, scalable, pay-as-you-go compute and storage capacity. To analyze "big data" on clouds, it is very important to research data mining strategies based on cloud computing paradigm from both theoretical and practical views. The purpose of this paper is to study a strategy of data mining on cloud. Hadoop, one of the open source implementation of Map reduce framework is very useful in distributed data mining concepts. While outsourcing data to the mining process in cloud environment the integrity of data should be maintained. Here a discussion is being given on cloud computing security issues and solutions as given in various research papers.

Keywords

Cloud Computing, Association Rule Mining, Map Reduce, Data Integrity, Outsourcing, Security Model.

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Sujni Paul ¹

Affiliations
1 Department of Computer Applications, Karunya University, Coimbatore 641114 , Tamil Nadu, IN

Abstract

Many current data mining tasks can be accomplished successfully only in a distributed setting. The field of distributed data mining has therefore gained increasing importance in the last decade. The Apriori algorithm by Rakesh Agarwal has emerged as one of the best Association Rule mining algorithms. Ii also serves as the base algorithm for most parallel algorithms. The enormity and high dimensionality of datasets typically available as input to problem of association rule discovery, makes it an ideal problem for solving on multiple processors in parallel. The primary reasons are the memory and CPU speed limitations faced by single processors. In this paper an Optimized Distributed Association Rule mining algorithm for geographically distributed data is used in parallel and distributed environment so that it reduces communication costs. The response time is calculated in this environment using XML data.

Keywords

Association Rules, Apriori Algorithm, Parallel and Distributed Data Mining, Xml Data, Response Time.

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C. Beulah Christalin Latha ¹, Sujni Paul ¹, E. Kirubakaran ², Sathianarayanan ³

Affiliations
1 Department of Computer Applications, Karunya University, IN
2 Bharat Heavy Electricals Limited, Tiruchirapalli, IN
3 NIIT, Coimbatore, IN

Abstract

Weather forecasting is a crucial application in meteorology. Weather is a continuous, data-intensive, multidimensional, dynamic process that makes weather forecasting a formidable challenge. This paper proposes a novel method to develop a service oriented architecture for a weather information system and forecast weather using data mining techniques. Web services provide a way of using software as a service. Developing service oriented architecture enables this software to be used anywhere at anytime and on any device. Data mining is an interesting field of computer science that can be used for various applications. This proposal aims at developing a weather information system as a web service that can be used by any type of application and uses the prediction techniques of data mining for weather forecasting.

Keywords

Data Mining, Service Oriented Architecture, Weather Forecasting, Web Services.

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