Sudheep Elayidom M.

Work place: Division of Computer Science, Cochin University of Science & Technology, Kerala, India



Research Interests: Data Structures and Algorithms


Dr. Sudheep Elayidom M. is working as Associate Professor in Computer Science Division of School of Engineering for the past fifteen years. He secured 1st Rank in the University for both his Masters Degree and Bachelor’s Degree. He has several journal and conference publications to his credit and he is the author of the book titled ‘Data Mining and Warehousing’ published by Cengage publishers. He obtained Ph.D degree from CUSAT and he is a pioneer in Data Mining. He is actively involved in latest research trends including Big Data Analytics, Twitter Analytics, etc.

Author Articles
A Novel Big Data Approach to Classify Bank Customers - Solution by Combining PIG, R and Hadoop

By Lija Mohana Sudheep Elayidom M.

DOI:, Pub. Date: 8 Sep. 2016

Large amount of data that is characterized by its volume, velocity, veracity, value and variety is termed Big Data. Extracting hidden patterns, customer preferences, market trends, unknown correlations, or any other useful business information from large collection of structured or unstructured data set is called Big Data analysis. This article explores the scope of analyzing bank transaction data to categorize customers which could help the bank in efficient marketing, improved customer service, better operational efficiency, increased profit and many other hidden benefits. Instead of relying on a single technology to process large scale data, we make use of a combination of strategies like Hadoop, PIG, R etc for efficient analysis. RHadoop is an upcoming research trend for Big Data analysis, as R is a very efficient and easy to code, data analysis and visualization tool compared to traditional MapReduce program. K-Means is chosen as the clustering algorithm for classification.

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A Practical Scheme for Implementing Client Side Encryptions and Decryptions

By Lija Mohana Sudheep Elayidom M.

DOI:, Pub. Date: 8 Sep. 2015

The amount of data that is generated each day is rapidly increasing so that the traditional ways of data storage seems to be inadequate. Cloud Computing has helped a lot to solve the storage issues but fear of data leakage hinders its widespread acceptance. Even though the public clouds like Amazon, Google etc store the data in encrypted form, data loss can still occur during transmission. The only practical solution is to upload encrypted data to cloud. Hence users should have an additional software or application to encrypt the data before uploading and decrypt the data after retrieval. This article analyzes different solutions for implementing such applications. The article also describes about the cryptographic primitives that can be added for enforcing security.

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