Studies in Computational Intelligence 870 Jyotsna Kumar Mandal Somnath Mukhopadhyay Paramartha Dutta Kousik Dasgupta   Editors Algorithms in Machine Learning Paradigms Studies in Computational Intelligence Volume 870 Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland The series “Studies in Computational Intelligence” (SCI) publishes new develop- mentsandadvancesinthevariousareasofcomputationalintelligence—quicklyand with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. The books of this series are submitted to indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. More information about this series at http://www.springer.com/series/7092 Jyotsna Kumar Mandal (cid:129) Somnath Mukhopadhyay (cid:129) Paramartha Dutta Kousik Dasgupta (cid:129) Editors Algorithms in Machine Learning Paradigms 123 Editors Jyotsna KumarMandal SomnathMukhopadhyay Kalyani University Department ofComputer Science Kalyani, India andEngineering, Triguna Sen Schoolof Technology Paramartha Dutta AssamUniversity Department ofComputer Silchar, Assam, India andSystem Sciences Visva-Bharati University KousikDasgupta Bolpur, West Bengal, India Department ofComputer Science andEngineering Kalyani GovernmentEngineering College Kalyani, West Bengal, India ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN978-981-15-1040-3 ISBN978-981-15-1041-0 (eBook) https://doi.org/10.1007/978-981-15-1041-0 ©SpringerNatureSingaporePteLtd.2020 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart 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 orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. 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The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Editorial Preface With the advancement of human civilization there are various phases of transfor- mation—Scientific, Technological, and others. Some of the phases, in general and some of the inventions/discoveries in specific have left mark in the history of mankind.Inventionsoffire,electricity,wheel,aresomesuchexamples.Becauseof dynamism inherent in the progress of civilization newer and newer findings come upasaresultofintense initiativeofresearch communityalland otherwise passive computing system—popularly known as machine intelligence. It is needless to mention that machine intelligence is the conclusive finding of the computing pro- cess that requires providing adequate training of the computing system under consideration—the process being popularly referred to machine learning. To be precise, machine learning the process framework to achieve the task of machine intelligence. Applications of machine learning encompass optimizations, health- care, agriculture, remote sensing, financial services, IoT and Analytics, Virtual Personal Assistants for example Alexa, Marketing and Sales, Recommendation systems, Social Media Services, and what not. To be precise, in the present scope of these treatise, editors find pleasure in accommodating such applications of immense significance. They are considered as follows: In chapter one, authors have reported a priority based Hesitant-Intuitionistic TrapezoidalFuzzyEinsteinOperatorsandtheiruseinmulti-criteriagroupdecision making.Inthenextchapterauthorshaveproposedamodelforunsupervisedfeature selectionbased ongraph-orientedinformation-theoretic approach.Inchapterthree, a fact-based Expert System being proposed for supplier selection in ERP envi- ronment. In next chapter authors have modelled a fuzzy time series for handling seasonal pattern and prediction. In chapter five, authors have proposed a texture-basedmodelforautomaticclassificationoffruitsandvegetables.Inthenext chapter a deep learning based early sign detection model has been proposed for proliferative diabetic retinopathy in neovascularization at the disc. In the next chapter authors have proposed a predictionpolicy for live migration in cloud computing. In the next two chapters authors have proposed a tracking and recog- nizingsystemsofchanginghumanemotionsfromfacialimagesequence.Inchapter ten,authorshavedevisedamodeltopredictstableneighbornodesinmobileadhoc v vi EditorialPreface network. In the final chapter, authors have proposed anew model for optimizing initial parameters of Lorenz attractor and its application in PRNG. The editors desire to avail this opportunity to express their heartfelt thanks and sincere gratitude to the contributing authors for their rich technical findings reflected in their articles. But for their contributions, this initiative could not have becomeareality.Thetaskoffinalizingthearticlesofhightechnicalmeritcouldnot have been achieved without the active cooperation and support from the learned reviewers, thankless albeit. Last but not the least, the editors feel obliged to SpringerNature aspublicationpartnerfor takingallthepain toprovidetheeditors the opportunity of making the present endeavor in the form of an edited volume a success. Happy reading!!! Kalyani, India Jyotsna Kumar Mandal Silchar, India Somnath Mukhopadhyay Bolpur, India Paramartha Dutta Kalyani, India Kousik Dasgupta Contents Hesitant-IntuitionisticTrapezoidalFuzzyPrioritizedOperatorsBased onEinsteinOperationswithTheirApplicationtoMulti-criteriaGroup Decision-Making. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Arun Sarkar and Animesh Biswas Unsupervised Feature Selection Using Information-Theoretic Graph-Based Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Sagarika Saroj Kundu, Abhirup Das and Amit Kumar Das Fact-Based Expert System for Supplier Selection with ERP Data . . . . . 43 Kartick Chandra Mondal, Biswadeep Deb Nandy and Arunima Baidya Handling Seasonal Pattern and Prediction Using Fuzzy Time Series Model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Mahua Bose and Kalyani Mali Automatic Classification of Fruits and Vegetables: A Texture-Based Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 Susovan Jana, Ranjan Parekh and Bijan Sarkar Deep Learning-Based Early Sign Detection Model for Proliferative Diabetic Retinopathy in Neovascularization at the Disc . . . . . . . . . . . . . 91 Nilanjana Dutta Roy and Arindam Biswas A Linear Regression-Based Resource Utilization Prediction Policy for Live Migration in Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . 109 Gopa Mandal, Santanu Dam, Kousik Dasgupta and Paramartha Dutta Tracking Changing Human Emotions from Facial Image Sequence by Landmark Triangulation: An Incircle-Circumcircle Duo Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 Md Nasir, Paramartha Dutta and Avishek Nandi vii viii Contents Recognizing Human Emotions from Facial Images by Landmark Triangulation: A Combined Circumcenter-Incenter-Centroid Trio Feature-Based Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 Avishek Nandi, Paramartha Dutta and Md Nasir StableNeighbor-NodePredictionwithMultivariateAnalysisinMobile Ad Hoc Network Using RNN Model. . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 Arindrajit Pal, Paramartha Dutta, Amlan Chakrabarti and Jyoti Prakash Singh A New Approach for Optimizing Initial Parameters of Lorenz Attractor and Its Application in PRNG . . . . . . . . . . . . . . . . . . . . . . . . . 181 Ramen Pal and Somnath Mukhopadhyay Author Index.... .... .... .... ..... .... .... .... .... .... ..... .. 195 About the Editors Dr. Jyotsna Kumar Mandal is a Professor of Computer Science & Engineering, andformerDeanofFETM,KalyaniUniversity,India.HeholdsanM.Sc.inPhysics from Jadavpur University, M.Tech. in Computer Science from the University of Calcutta,andwasawardedaPh.D.inComputerScience&EngineeringbyJadavpur University. He has 32years ofteachingand researchexperienceinvarious fieldsof computer science and allied areas, and has published 170 articles in journals, more than 300 articles at conferences, and edited 31 volumes and seven books. He is a Fellow of IETE, life member of CRSI and CSI, and senior member of IEEE. Dr. Somnath Mukhopadhyay is an Assistant Professor at the Department of Computer Science and Engineering, Assam University, Silchar, India. He com- pleted hisM.Tech.andPh.D. degrees inComputerScienceand Engineeringatthe UniversityofKalyani,India.Hehasco-authoredonebookandeditedsixbooksand published over 25 papers in various international journals and conference pro- ceedings,includingthreechaptersineditedvolumes.Hisresearchinterestsinclude remote sensing and computational intelligence. He is a life member of the Computer Society of India and currently the Regional Student Coordinator of Region II, Computer Society of India. Prof. (Dr.) Paramartha Dutta, FIE (India), FIETE, FOSI, SMIEEE, SMACM, SMCSI, completed his bachelor’s and master’s in Statistics and Master of TechnologyinComputerScienceattheIndianStatisticalInstitute,andhisPh.D.in Engineering at the Bengal Engineering and Science University, Shibpur. He has co-authored eight books and twelve edited books, and published 250 papers in variouspeer-reviewedjournalsandconferenceproceedingsaswellasseveralbook chapters. He holds six international and eleven national patents. Dr.Duttareceived(i)IRDPLifetimeAchievementAward2018,(ii)Distinguished Scientist Award in Computer Science and Engineering 2018 conferred by the Venus InternationalResearchFoundation,(iii)ExcellenceinScienceandTechnologyAward 2018–2019 conferred by the Indian Science Congress Association, Government of ix