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Computational Intelligence in Data Mining—Volume 1: Proceedings of the International Conference on CIDM, 5-6 December 2015 de Himansu Sekhar Behera

Computational Intelligence in Data Mining—Volume 1: Proceedings of the International Conference on CIDM, 5-6 December 2015: Advances in Intelligent Systems and Computing, cartea 410

Editat de Himansu Sekhar Behera, Durga Prasad Mohapatra
en Limba Engleză Paperback – 9 dec 2015
The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on Computational Intelligence in Data Mining (ICCIDM 2015) held at Bhubaneswar, Odisha, India during 5 – 6 December 2015. The two-volume Proceedings address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
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Specificații

ISBN-13: 9788132227328
ISBN-10: 8132227328
Pagini: 494
Ilustrații: XXIII, 494 p. 205 illus. in color.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.72 kg
Ediția:1st ed. 2016
Editura: Springer India
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:New Delhi, India

Public țintă

Research

Cuprins

Chapter 1. A Novel Approach for BiometricAuthentication System Using Ear, 2D Face and 3D Face Modalities.- Chapter 2.An Optimal Policy with Quadratic Demand,Time-Varying Quadratic Holding Cost and Partial Backlogging.- Chapter 3.A Novel Approach for Order Reduction of High Order DiscreteTime Systems Using Modified Routh Approximation Method via w-Domain.- Chapter 4.Pose Invariant Face Recognition for New Born:Machine Learning Approach.- Chapter5. Implementationof Data Analytics for MongoDB Using Trigger Utility.- Chapter 6.Heart Disease Prediction Using k-Nearest NeighbourClassifier Based on Handwritten Text .- Chapter 7. Optimizing a Higher Order Neural Network throughTeaching Learning Based Optimization Algorithm.- Chapter 8. Deploying a Social Web Graph over a Semantic WebFramework.- Chapter 9. Detectingand Analysing Invariant Groups in Complex Networks.- Chapter 10.Automatic Mucosa Detection inVideo CapsuleEndoscopy with Adaptive Thresholding.- Chapter 11. Optimization Approach for Feature Selection andClassification with Support Vector Machine.- Chapter 12. Design and Development of Controller Software for MASReceiver Using Socket Programming.- Chapter13. Inference ofReplanting in Forest Fire Affected Land Using Data Mining Technique.- Chapter 14.A New Approach on Color Image Encryption UsingArnold 4D Cat Map.- Chapter 15. NeutrosophicLogic Based New Methodology to Handle Indeterminacy Data for Taking AccurateDecision.- Chapter 16. Prognosticationof Student’s Performance: An Hierarchical Clustering Strategy for EducationalDataset.- Chapter 17. Design andImplementation ACO Based Edge Detection on the Fusion of Hue and PCA.- Chapter 18.Effective Sentimental Analysis & Opinion Miningof Web Reviews Using Rule Based Classifiers.- Chapter 19. Trigonometric Fourier Approximation of the ConjugateSeries of a Function of Generalized Lipchitz Class by Product Summability.- Chapter 20.Optimal Energy Efficient Path Selection Using VenusFlytrap Optimization Algorithm in MANET.- Chapter 21. Bi-clustering Using Venus Flytrap OptimizationAlgorithm.- Chapter 22. AnalyticalStructure of a Fuzzy Logic Controller for Software Development EffortEstimation.- Chapter 23. MalayalamSpell Checker Using N-Gram Method.- Chapter24. Sample ClassificationBased on Gene Subset Selection.- Chapter25. A MultiCriteria Document Clustering Approach Using Genetic Algorithm.- Chapter 26.Positive and Negative Association Rule Mining UsingCorrelation Threshold and Dual Confidence Approach.- Chapter 27.Extractive Text Summarization Using Lexical Associationand Graph Based Text Analysis.- Chapter28. Design ofLinear Phase FIR Band Stop Filter Using Fusion Based DEPSO Algorithm.- Chapter 29.A Survey on Face Detection and Person Re-identification.-Chapter 30. MachineTranslation of Telugu Singular Pronoun Inflections to Sanskrit.- Chapter 31.Tweet Analyzer: Identifying Interesting Tweets Basedon the Polarity of Tweets.- Chapter32. Face-Trackingto Detect Dynamic Target in Wireless Sensor Networks.- Chapter 33.Abnormal Gait Detection Using Lean and Ramp Angle Features.-Chapter 34. FuzzyLogic and AHP-based Ranking of Cloud Service Providers.- Chapter 35.Classification of Tabla Strokes Using NeuralNetwork.- Chapter 36. AutomaticHeadline Generation for News Article.- Chapter 37. Identifying Natural Communities in Social Networks UsingModularity Coupled with Self Organizing Maps.- Chapter 38. A Low ComplexityFLANN Architecture for Forecasting Stock Time Series Data Training withMeta-Heuristic Firefly Algorithm.- Chapter39. A Novel SchedulingAlgorithm for Cloud Computing Environment.- Chapter 40. PSO Based Tuning of a Integral and Proportional IntegralController for a Closed Loop Stand-alone Multi Wind Energy System.- Chapter 41.Statistically Validating Intrusion DetectionFramework against Selected DoS Attacks in Ad Hoc Networks: An NS-2 SimulationStudy.- Chapter 42. FourierFeatures for the Recognition of Ancient Kannada Text.- Chapter 43.A Spelling Mistake Correction (SMC) Model for ResolvingReal-word Error.- Chapter 44. DifferentialEvolution Based Tuning of Proportional Integral Controller for ModularMultilevel Converter STATCOM.- Chapter45. Designingof DPA Resistant Circuit Using Secure Differential Logic Gates.- Chapter 46.Efficient Algorithm for Web Search QueryReformulation Using Genetic Algorithm.- Chapter 47. Throughput of a Network Shared by TCP Reno and TCPVegas in Static Multi-hop Wireless Network.- Chapter 48. A Pronunciation Rule-based Speech SynthesisTechnique for Odia Numerals.

Notă biografică

Prof. HimansuSekhar Behera is working as an Associate Professor in the Department of Computer Science Engineering& Information Technology, Veer Surendra Sai University of Technology(VSSUT) - An Unitary Technical University, Establishedby Govt. of Odisha, Burla, Odisha. He has received M.Tech in Computer Science & Engineering fromN.I.T, Rourkela (formerly R.E.C, Rourkela) and Doctorof Philosophy in Engineering (Ph.D.) from Biju Pattnaik University ofTechnology (BPUT), Rourkela, Govt. of Odisha,respectively. He has published more than 80 research papers in variousinternational Journals and Conferences, edited 11 books and is acting as aMember of the Editorial / Reviewer Board of various international journals. Heis proficient in the field of Computer Science Engineering and served in thecapacity of program chair, tutorial chair and acted as advisory member ofcommittees of many national and international conferences. His researchinterests include Data Mining, Soft Computing, Evolutionary Computation,Machine Intelligence and Distributed System. He is associated with variouseducational and research societies like OITS,ISTE, IE, ISTD,CSI,OMS,AIAER,SMIAENG,SMCSTA, etc.
Prof. DurgaPrasad Mohapatra received his Ph.D. from Indian Institute of TechnologyKharagpur and is presently serving as Associate Professor in NIT Rourkela, Odisha.His research interests include software engineering, real-time systems,discrete mathematics, and distributed computing. He has published more than 30research papers in these fields in various international Journals and Conferences.He has received several project grants from DST and UGC, Govt. of India. He hasreceived the Young Scientist Award for the year 2006 by Orissa Bigyan Academy.He has also received the Prof. K. Arumugam National Award and the MaharashtraState National Award for outstanding research work in Software Engineering forthe years 2009 and 2010, respectively from the Indian Society for TechnicalEducation (ISTE), New Delhi. He is going to receive the Bharat Sikshya RatanAward for significant contribution in academics awarded by the Global Societyfor Health and Educational Growth, Delhi. 

Textul de pe ultima copertă

The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on Computational Intelligence in Data Mining (ICCIDM 2015) held at Bhubaneswar, Odisha, India during 5 – 6 December 2015. The two-volume Proceedings address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

Caracteristici

Disseminates the innovative and active research directions in the field of data mining, machine and computational intelligence Address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining who are pursuing research Includes supplementary material: sn.pub/extras