Advances in Intelligent Systems and Computing Volume 654

Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]

About this Series The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing. The publications within “Advances in Intelligent Systems and Computing” are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.

Advisory Board Chairman Nikhil R. Pal, Indian Statistical Institute, Kolkata, India e-mail: [email protected] Members Rafael Bello Perez, Universidad Central “Marta Abreu” de Las Villas, Santa Clara, Cuba e-mail: [email protected] Emilio S. Corchado, University of Salamanca, Salamanca, Spain e-mail: [email protected] Hani Hagras, University of Essex, Colchester, UK e-mail: [email protected] László T. Kóczy, Széchenyi István University, Győr, Hungary e-mail: [email protected] Vladik Kreinovich, University of Texas at El Paso, El Paso, USA e-mail: [email protected] Chin-Teng Lin, National Chiao Tung University, Hsinchu, Taiwan e-mail: [email protected] Jie Lu, University of Technology, Sydney, Australia e-mail: [email protected] Patricia Melin, Tijuana Institute of Technology, Tijuana, Mexico e-mail: [email protected] Nadia Nedjah, State University of Rio de Janeiro, Rio de Janeiro, Brazil e-mail: [email protected] Ngoc Thanh Nguyen, Wroclaw University of Technology, Wroclaw, Poland e-mail: [email protected] Jun Wang, The Chinese University of Hong Kong, Shatin, Hong Kong e-mail: [email protected]

More information about this series at http://www.springer.com/series/11156

V.B. Aggarwal Vasudha Bhatnagar Durgesh Kumar Mishra •

Editors

Big Data Analytics Proceedings of CSI 2015

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Editors V.B. Aggarwal Jagan Institute of Management Studies New Delhi, Delhi India

Durgesh Kumar Mishra Microsoft Innovation Centre Sri Aurobindo Institute of Technology Indore, Madhya Pradesh India

Vasudha Bhatnagar Department of Computer Science University of Delhi New Delhi, Delhi India

ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems and Computing ISBN 978-981-10-6619-1 ISBN 978-981-10-6620-7 (eBook) https://doi.org/10.1007/978-981-10-6620-7 Library of Congress Control Number: 2017952513 © Springer Nature Singapore Pte Ltd. 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Preface

The last decade has witnessed remarkable changes in IT industry, virtually in all domains. The 50th Annual Convention, CSI-2015, on the theme “Digital Life” was organized as a part of CSI-2015, by CSI at Delhi, the national capital of the country, during December 02–05, 2015. Its concept was formed with an objective to keep ICT community abreast of emerging paradigms in the areas of computing technologies and more importantly looking at its impact on the society. Information and Communication Technology (ICT) comprises of three main components: infrastructure, services, and product. These components include the Internet, infrastructure-based/infrastructure-less wireless networks, mobile terminals, and other communication mediums. ICT is gaining popularity due to rapid growth in communication capabilities for real-time-based applications. New user requirements and services entail mechanisms for enabling systems to intelligently process speech- and language-based input from human users. CSI-2015 attracted over 1500 papers from researchers and practitioners from academia, industry and government agencies, from all over of the world, thereby making the job of the Programme Committee extremely difficult. After a series of tough review exercises by a team of over 700 experts, 565 papers were accepted for presentation in CSI-2015 during the 3 days of the convention under ten parallel tracks. The Programme Committee, in consultation with Springer, the world’s largest publisher of scientific documents, decided to publish the proceedings of the presented papers, after the convention, in ten topical volumes, under ASIC series of the Springer, as detailed hereunder: 1. 2. 3. 4.

Volume Volume Volume Volume

# # # #

1: 2: 3: 4:

ICT Based Innovations Next Generation Networks Nature Inspired Computing Speech and Language Processing for Human-Machine Communications 5. Volume # 5: Sensors and Image Processing 6. Volume # 6: Big Data Analytics

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7. 8. 9. 10.

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Volume Volume Volume Volume

# # # #

7: Systems and Architecture 8: Cyber Security 9: Software Engineering 10: Silicon Photonics and High Performance Computing

We are pleased to present before you the proceedings of the Volume # 6 on “Big Data Analytics”. The title “Big Data Analytics” discusses the new models applied for Big Data Analytics. It traces the different business interests in the field of Big Data Analytics from the perspective of decision-makers. The title also evaluates the uses of data analytics in understanding the need of customer base in various organizations. Big data is a new buzzword due to the generation of data from a diversity of sources. The volume, variety and velocity of data coming into an organization from both structured and unstructured data sources continue to reach unprecedented levels. This phenomenal growth implies that one must not only understand the big data in order to decipher the information that truly counts, but one must also understand the possibilities and opportunities of data analytics. Big data analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. With big data analytics, data scientists and others can analyse huge volumes of data that conventional analytics and business intelligence solutions cannot touch. The title “Big Data Analytics” analyses the different aspects of big data research and how the same is being applied across organizations to handle their data for decision-making and different types of analytics for different business strategies. This volume is designed to bring together researchers and practitioners from academia and industry to focus on extending the understanding and establishing new collaborations in these areas. It is the outcome of the hard work of the editorial team, who have relentlessly worked with the authors and steered up the same to compile this volume. It will be a useful source of reference for the future researchers in this domain. Under the CSI-2015 umbrella, we received over 500 papers for this volume, out of which 74 papers are being published, after a rigorous review processes, carried out in multiple cycles. On behalf of organizing team, it is a matter of great pleasure that CSI-2015 has received an overwhelming response from various professionals from across the country. The organizers of CSI-2015 are thankful to the members of Advisory Committee, Programme Committee and Organizing Committee for their all-round guidance, encouragement and continuous support. We express our sincere gratitude to the learned Keynote Speakers for support and help extended to make this event a grand success. Our sincere thanks are also due to our Review Committee Members and the Editorial Board for their untiring efforts in reviewing the manuscripts, giving suggestions and valuable inputs for shaping this volume. We hope that all the participants/delegates will be benefitted academically and wish them all the best for their future endeavours.

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We also take the opportunity to thank the entire team from Springer, who have worked tirelessly and made the publication of the volume a reality. Last but not least, we thank the team from Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, for their untiring support, without which the compilation of this huge volume would not have been possible. New Delhi, India New Delhi, India Indore, India March 2017

V.B. Aggarwal Vasudha Bhatnagar Durgesh Kumar Mishra

The Organization of CSI-2015

Chief Patron Padmashree Dr. R. Chidambaram, Principal Scientific Advisor, Government of India

Patrons Prof. S.V. Raghavan, Department of Computer Science, IIT Madras, Chennai Prof. Ashutosh Sharma, Secretary, Department of Science and Technology, Ministry of Science and Technology, Government of India Chair, Programme Committee Prof. K.K. Aggarwal, Founder Vice Chancellor, GGSIP University, New Delhi Secretary, Programme Committee Prof. M.N. Hoda, Director, Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi

Advisory Committee • Padma Bhushan Dr. F.C. Kohli, Co-Founder, TCS • Mr. Ravindra Nath, CMD, National Small Industries Corporation, New Delhi • Dr. Omkar Rai, Director General, Software Technological Parks of India (STPI), New Delhi • Adv. Pavan Duggal, Noted Cyber Law Advocate, Supreme Courts of India • Prof. Bipin Mehta, President, CSI • Prof. Anirban Basu, Vice President—cum- President Elect, CSI • Shri Sanjay Mohapatra, Secretary, CSI • Prof. Yogesh Singh, Vice Chancellor, Delhi Technological University, Delhi • Prof. S.K. Gupta, Department of Computer Science and Engineering, IIT, Delhi

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The Organization of CSI-2015

• Prof. P.B. Sharma, Founder Vice Chancellor, Delhi Technological University, Delhi • Mr. Prakash Kumar, IAS, Chief Executive Officer, Goods and Services Tax Network (GSTN) • Mr. R.S. Mani, Group Head, National Knowledge Networks (NKN), NIC, Government of India, New Delhi

Editorial Board • • • • • • • • • •

A.K. Nayak, CSI A.K. Saini, GGSIPU, New Delhi R.K. Vyas, University of Delhi, Delhi Shiv Kumar, CSI Vishal Jain, BVICAM, New Delhi S.S. Agrawal, KIIT, Gurgaon Amita Dev, BPIBS, New Delhi D.K. Lobiyal, JNU, New Delhi Ritika Wason, BVICAM, New Delhi Anupam Baliyan, BVICAM, New Delhi

Contents

Need for Developing Intelligent Interfaces for Big Data Analytics in the Microfinance Industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Purav Parikh and Pragya Singh Unified Resource Descriptor over KAAS Framework . . . . . . . . . . . . . . . Subhajit Bhattacharya An Adaptable and Secure Intelligent Smart Card Framework for Internet of Things and Cloud Computing . . . . . . . . . . . . . . . . . . . . . . T. Daisy Premila Bai, A. Vimal Jerald and S. Albert Rabara A Framework for Ontology Learning from Taxonomic Data . . . . . . . . . Chandan Kumar Deb, Sudeep Marwaha, Alka Arora and Madhurima Das Leveraging MapReduce with Column-Oriented Stores: Study of Solutions and Benefits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Narinder K. Seera and S. Taruna Hadoop: Solution to Unstructured Data Handling . . . . . . . . . . . . . . . . . . Aman Madaan, Vishal Sharma, Prince Pahwa, Prasenjit Das and Chetan Sharma

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Task-Based Load Balancing Algorithm by Efficient Utilization of VMs in Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ramandeep Kaur and Navtej Singh Ghumman

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A Load Balancing Algorithm Based on Processing Capacities of VMs in Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ramandeep Kaur and Navtej Singh Ghumman

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Package-Based Approach for Load Balancing in Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Amanpreet Chawla and Navtej Singh Ghumman

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Workload Prediction of E-business Websites on Cloud Using Different Methods of ANN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Supreet Kaur Sahi and V.S. Dhaka

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Data Security in Cloud-Based Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . Charru Hasti and Ashema Hasti

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Ontology-Based Ranking in Search Engine . . . . . . . . . . . . . . . . . . . . . . . . Rahul Bansal, Jyoti and Komal Kumar Bhatia

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Hidden Data Extraction Using URL Templates Processing . . . . . . . . . . . 111 Babita Ahuja, Anuradha and Dimple Juneja Automatic Generation of Ontology for Extracting Hidden Web Pages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 Manvi, Komal Kumar Bhatia and Ashutosh Dixit Importance of SLA in Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . 141 Angira Ghosh Chowdhury and Ajanta Das A Survey on Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149 Mohammad Ubaidullah Bokhari, Qahtan Makki and Yahya Kord Tamandani Adapting and Reducing Cost in Cloud Paradigm (ARCCP) . . . . . . . . . . 165 Khushboo Tripathi and Dharmender Singh Kushwaha Power Aware-Based Workflow Model of Grid Computing Using Ant-Based Heuristic Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175 T. Sunil Kumar Reddy, Dasari Naga Raju, P. Ravi Kumar and S.R. Raj Kumar Image Categorization Using Improved Data Mining Technique . . . . . . . 185 Pinki Solanki and Girdhar Gopal An Effective Hybrid Encryption Algorithm for Ensuring Cloud Data Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 Vikas Goyal and Chander Kant Big Data Analytics: Recent and Emerging Application in Services Industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 Rajesh Math An Analysis of Resource-Aware Adaptive Scheduling for HPC Clusters with Hadoop . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 S. Rashmi and Anirban Basu Analytical and Perspective Approach of Big Data in Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 Rekha Pal, Tanvi Anand and Sanjay Kumar Dubey

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Implementation of CouchDBViews . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241 Subita Kumari and Pankaj Gupta Evolution of FOAF and SIOC in Semantic Web: A Survey . . . . . . . . . . 253 Gagandeep Singh Narula, Usha Yadav, Neelam Duhan and Vishal Jain Classification of E-commerce Products Using RepTree and K-means Hybrid Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265 Neha Midha and Vikram Singh A Study of Factors Affecting MapReduce Scheduling . . . . . . . . . . . . . . . 275 Manisha Gaur, Bhawna Minocha and Sunil Kumar Muttoo Outlier Detection in Agriculture Domain: Application and Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283 Sonal Sharma and Rajni Jain A Framework for Twitter Data Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . 297 Imran Khan, S.K. Naqvi, Mansaf Alam and S.N.A. Rizvi Web Structure Mining Algorithms: A Survey . . . . . . . . . . . . . . . . . . . . . 305 Neha Tyagi and Santosh Kumar Gupta Big Data Analytics via IoT with Cloud Service . . . . . . . . . . . . . . . . . . . . 319 Saritha Dittakavi, Goutham Bhamidipati and V. Siva Krishna Neelam A Proposed Contextual Model for Big Data Analysis Using Advanced Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329 Manjula Ramannavar and Nandini S. Sidnal Ranked Search Over Encrypted Cloud Data in Azure Using Secure K-NN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341 Himaja Cheruku and P. Subhashini DCI3 Model for Privacy Preserving in Big Data. . . . . . . . . . . . . . . . . . . . 351 Hemlata and Preeti Gulia Study of Sentiment Analysis Using Hadoop . . . . . . . . . . . . . . . . . . . . . . . 363 Dipty Sharma OPTIMA (OPinionated Tweet Implied Mining and Analysis) . . . . . . . . . 377 Ram Chatterjee and Monika Goyal Mobile Agent Based MapReduce Framework for Big Data Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391 Umesh Kumar and Sapna Gambhir Review of Parallel Apriori Algorithm on MapReduce Framework for Performance Enhancement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403 Ruchi Agarwal, Sunny Singh and Satvik Vats

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A Novel Approach to Realize Internet of Intelligent Things . . . . . . . . . . 413 Vishal Mehta An Innovative Approach of Web Page Ranking Using Hadoop- and Map Reduce-Based Cloud Framework . . . . . . . . . . . . . . . . . . . . . . . . . . . 421 Dheeraj Malhotra, Monica Malhotra and O.P. Rishi SAASQUAL: A Quality Model for Evaluating SaaS on the Cloud Computing Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429 Dhanamma Jagli, Seema Purohit and N. Subhash Chandra Scalable Aspect-Based Summarization in the Hadoop Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439 Kalyanasundaram Krishnakumari and Elango Sivasankar Parallel Mining of Frequent Itemsets from Memory-Mapped Files. . . . . 451 T. Anuradha Handling Smurfing Through Big Data . . . . . . . . . . . . . . . . . . . . . . . . . . . 459 Akshay Chadha and Preeti Kaur A Novel Approach for Semantic Prefetching Using Semantic Information and Semantic Association . . . . . . . . . . . . . . . . . . . . . . . . . . . 471 Sonia Setia, Jyoti and Neelam Duhan Optimized Cost Model with Optimal Disk Usage for Cloud . . . . . . . . . . 481 Mayank Aggrawal, Nishant Kumar and Raj Kumar Understanding Live Migration Techniques Intended for Resource Interference Minimization in Virtualized Cloud Environment. . . . . . . . . 487 Tarannum Bloch, R. Sridaran and CSR Prashanth Cloud Security Issues and Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499 Dhaivat Dave, Nayana Meruliya, Tirth D. Gajjar, Grishma T. Ghoda, Disha H. Parekh and R. Sridaran A Novel Approach to Protect Cloud Environments Against DDOS Attacks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 515 Nagaraju Kilari and R. Sridaran An Approach for Workflow Scheduling in Cloud Using ACO . . . . . . . . 525 V Vinothina and R Sridaran Data Type Identification and Extension Validator Framework Model for Public Cloud Storage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533 D. Boopathy and M. Sundaresan Robust Fuzzy Neuro system for Big Data Analytics . . . . . . . . . . . . . . . . . 543 Ritu Taneja and Deepti Gaur

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Deployment of Cloud Using Open-Source Virtualization: Study of VM Migration Methods and Benefits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553 Garima Rastogi, Satya Narayan, Gopal Krishan and Rama Sushil Implementation of Category-Wise Focused Web Crawler . . . . . . . . . . . . 565 Jyoti Pruthi and Monika MAYA: An Approach for Energy and Cost Optimization for Mobile Cloud Computing Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575 Jitender Kumar and Amita Malik Load Balancing in Cloud—A Systematic Review . . . . . . . . . . . . . . . . . . . 583 Veenita Kunwar, Neha Agarwal, Ajay Rana and J.P. Pandey Cloud-Based Big Data Analytics—A Survey of Current Research and Future Directions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 595 Samiya Khan, Kashish Ara Shakil and Mansaf Alam Fully Homomorphic Encryption Scheme with Probabilistic Encryption Based on Euler’s Theorem and Application in Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 605 Vinod Kumar, Rajendra Kumar, Santosh Kumar Pandey and Mansaf Alam Big Data: Issues, Challenges, and Techniques in Business Intelligence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 613 Mudasir Ahmad Wani and Suraiya Jabin Cloud Computing in Bioinformatics and Big Data Analytics: Current Status and Future Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 629 Kashish Ara Shakil and Mansaf Alam Generalized Query Processing Mechanism in Cloud Database Management System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 641 Shweta Malhotra, Mohammad Najmud Doja, Bashir Alam and Mansaf Alam Deliberative Study of Security Issues in Cloud Computing . . . . . . . . . . . 649 Chandani Kathad and Tosal Bhalodia An Overview of Optimized Computing Approach: Green Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 659 Archana Gondalia, Rahul N. Vaza and Amit B. Parmar A Literature Review of QoS with Load Balancing in Cloud Computing Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 667 Geeta and Shiva Prakash WAMLB: Weighted Active Monitoring Load Balancing in Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 677 Aditya Narayan Singh and Shiva Prakash

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Contents

Applications of Attribute-Based Encryption in Cloud Computing Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 687 Vishnu Shankar and Karan Singh Query Optimization: Issues and Challenges in Mining of Distributed Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 693 Pramod Kumar Yadav and Sam Rizvi Comprehensive Study of Cloud Computing and Related Security Issues . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 699 Manju Khari, Manoj kumar and Vaishali Healthcare Data Analysis Using R and MongoDB . . . . . . . . . . . . . . . . . . 709 Sonia Saini and Shruti Kohli Data Mining Tools and Techniques for Mining Software Repositories: A Systematic Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 717 Tamanna Siddiqui and Ausaf Ahmad SWOT Analysis of Cloud Computing Environment . . . . . . . . . . . . . . . . . 727 Sonal Dubey, Kritika Verma, M.A. Rizvi and Khaleel Ahmad A Review on Quality of Service in Cloud Computing . . . . . . . . . . . . . . . 739 Geeta and Shiva Prakash Association Rule Mining for Finding Admission Tendency of Engineering Student with Pattern Growth Approach . . . . . . . . . . . . . 749 Rashmi V. Mane and V.R. Ghorpade Integrated Effect of Nearest Neighbors and Distance Measures in k-NN Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 759 Rashmi Agrawal

About the Editors

Dr. V.B. Aggarwal from 1981 to 88 was the Founder Head, Department of Computer Science, University of Delhi, India, where he introduced the 3-year postgraduate (PG) programme, Master of Computer Applications (MCA), from 1982 to 1985. In 1973, he was awarded his Ph.D. by the University of Illinois, Urbana, USA. He continued his research work in the areas of supercomputers and array processors. In the USA, he taught for seven years as a faculty member at three universities. As a life member of the Computer Society of India (CSI), he has held various offices at the Delhi Chapter, including chapter vice-chairman and chairman, since 1979. In February 2014, he received the prestigious “Chapter Patron Award 2013” for Delhi Chapter by the CSI Awards Committee. Dr. Aggarwal has authored more than 18 Computer Publications, which are very popular among school students. Prof. Vasudha Bhatnagar is a Professor at the Department of Computer Science, University of Delhi, India. She is actively involved in research in the field of knowledge discovery and data mining (KDD). Her broad area of interest is intelligent data analysis. She is particularly interested in developing process models for knowledge discovery in databases and data mining algorithms. Her further interests include problems pertaining to modelling of changes in discovered knowledge in evolving (streaming) data sets, handling user subjectivity in KDD, projected clustering, outlier detection, classification and cluster ensembles. She is currently studying graphs as tool for modelling biology problems and texts. Dr. Durgesh Kumar Mishra is a Professor (CSE) and Director of the Microsoft Innovation Centre at Shri Aurobindo Institute of Technology, Indore, India. He has 24 years of teaching and research experience and has published over 100 research papers. He is a Senior Member of IEEE and Chairman, Computer Society of India

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About the Editors

(CSI) Division IV. He has held positions including Chairman, IEEE MP-Subsection and Chairman, IEEE Computer Society, Bombay Chapter. He has delivered invited talks at IEEE International conferences and serves on the Editorial Board of many national and international refereed journals. He is also a Member of the Bureau of Indian Standards (BIS), Government of India.