Publisher Description

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.

Back Cover

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.

Table of Contents

The Study of Sentimental State of Human from Tweet Text.- Data Analytic Techniques with Hardware Based Encryption for High Profile Dataset.- Exploring Student Migration in Rural Region of Bangladesh.- Analysis on Lightning News And Correlation With Lightning Imaging Sensor (LIS) Data.- Design of Business Canvas Model for Social Media.- EEG Signal Analysis Using Different Clustering Techniques.- Viable Crop Prediction Scenario in Big Data Using a Novel Approach.- A Graph Based Approach on Extractive Summarization.- Promises and Challenges of Big Data in a Data Driven World.- A Proposed Approach for Improving Hadoop Performance For Handling Small Files.- Identification of the Recurrence of Breast Cancer by Discriminant Analysis.- Spam Detection in SMS based on Feature Selection Techniques.- Analysis and Design of an Efficient Temporal Data Mining Model for the Indian Stock Market.- Community Detection Methods in Social Network Analysis.- A Comparative Study on Cluster Analysis of Micro-Blogging Data.

Feature

Comprises original research work by academics, scientists, and research scholars as well as professionals, decision makers, and industrial practitioners Inspires young scholars to discover newly created avenues of research Presents the hidden aspects of data science in the context of the successful "Make in India" project

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