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" Computational intelligence in data mining : "
Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham, editors.
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BL
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| Record Number
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889220
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| Main Entry
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International Conference on "Computational Intelligence in Data Mining"(4th :2017 :, Odisha, India)
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| Title & Author
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Computational intelligence in data mining : : proceedings of the International Conference on CIDM 2017 /\ Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham, editors.
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| Publication Statement
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Singapore :: Springer,, [2019]
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, ©2019
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| Series Statement
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Advances in intelligent systems and computing ;; volume 711
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1 online resource :: illustrations
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| ISBN
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9789811080555
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: 9811080550
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9789811080548
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9811080542
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Includes bibliographical references and index.
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| Contents
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Intro; Preface; Conference Committee; Chief Patron and President; Honorary Advisory Chair; Honorary General Chair; General Chair; Programme Chair; Chairman, Organizing Committee; Vice-Chairman, Organizing Committee; Convenor; International Advisory Committee; National Advisory Committee; Technical Committee Members; Finance Committee; Publication Chair; Special Session Chairs; Publicity Chair; Registration Chair; Sponsorship Chair; Web Chair; Organizing Committee Members; International Reviewer Committee; Acknowledgements; Contents; About the Editors
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1 BER Performance Analysis of Image Transmission Using OFDM Technique in Different Channel Conditions Using Various Modulation TechniquesAbstract; 1 Introduction; 2 Fading Environment; 2.1 AWGN Channel; 2.2 Rician Channel; 3 Proposed Work; 4 Simulation Results and Discussion; 5 Conclusion; References; 2 On Understanding the Release Patterns of Open Source Java Projects; Abstract; 1 Introduction; 2 Data Collection Methodology; 3 Analysis; 3.1 Datasets and Their Entire Release History; 3.2 Major and Minor Versions of the Datasets; 3.3 The Exceptions; 3.3.1 Datasets Following the TR Models
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3 Related Work and Result Analysis3.1 Data Exploration; 3.1.1 Histogram and Plot; 3.1.2 Aggregation Plot; 3.2 Imputation Techniques; 3.2.1 Deletion Technique; 3.2.2 Predictive Mean; 3.2.3 Additive LASSO Model; 4 Conclusion; References; 4 An Efficient Multi-keyword Text Search Over Outsourced Encrypted Cloud Data with Ranked Results; Abstract; 1 Introduction; 2 Background; 2.1 System Model; 2.2 Threat Models; 2.3 Preliminaries; 3 Encrypted Schemes; 3.1 The BMRSCD Scheme; 3.2 The EMRSCD Scheme; 4 Performance Analysis; 4.1 Index Tree Construction; 4.2 Search Efficiency
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3.3.2 Datasets Following RR Models at Later Stages3.3.3 Datasets Following the RR Models with Few Exceptional Cases; 4 Conclusions; References; 3 A Study of High-Dimensional Data Imputation Using Additive LASSO Regression Model; Abstract; 1 Introduction; 1.1 Origins of Missing Data; 1.1.1 Unit Non-response; 1.1.2 Item Non-response; 1.1.3 Missing Completely At Random (MCAR); 1.1.4 Missing At Random (MAR); 1.1.5 Missing Not at Random (MNAR); 1.2 High-Dimensional Data; 2 Research Background; 2.1 Multiple Imputations; 2.2 Additive LOSSO Model; 2.2.1 Coefficient Estimates Can Be Calculated
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5 Conclusion and Future WorkReferences; Robust Estimation of IIR System's Parameter Using Adaptive Particle Swarm Optimization Algorithm; 1 Introduction; 2 Problem Formulation; 3 Robust Estimation of IIR System's Parameter; 3.1 Robust Fitness Function; 4 Modified PSO for Robust Parameter Estimation of IIR System; 5 Simulation Results and Discussions; 6 Conclusion; References; 6 A Shallow Parser-based Hindi to Odia Machine Translation System; Abstract; 1 Introduction; 2 Theoretical Foundation; 2.1 De-formatter; 2.2 Morphological Analyzer; 2.3 Part-of-Speech (PoS); 2.4 Transfer Modules
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| Abstract
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The International Conference on "Computational Intelligence in Data Mining" (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses the latest solutions, scientific results and methods in solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. The volume presents a sneak preview into the strengths and weakness of trending applications and research findings in the field of computational intelligence and data mining along with related field. .
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Computational intelligence, Congresses.
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Data mining, Congresses.
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Computational intelligence.
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COMPUTERS-- General.
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Data mining.
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| Dewey Classification
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006.3
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| LC Classification
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Q342
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| Added Entry
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Abraham, Ajith,1968-
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Behera, Himansu Sekhar
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Naik, Bighnaraj
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Nayak, Janmenjoy
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