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Computational Intelligence in Data Mining—Volume 2: Proceedings of the International Conference on CIDM, 5-6 December 2015 de Himansu Sekhar Behera

Computational Intelligence in Data Mining—Volume 2: Proceedings of the International Conference on CIDM, 5-6 December 2015: Advances in Intelligent Systems and Computing, cartea 411

Editat de Himansu Sekhar Behera, Durga Prasad Mohapatra
en Limba Engleză Paperback – 10 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: 9788132227298
ISBN-10: 8132227298
Pagini: 520
Ilustrații: XXIII, 520 p. 229 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.76 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 Sensor Based Mechanism for Controlling MobileRobots with ZigBee.- Chapter 2. A Two-warehouseInventory Model with Exponential Demand under Permissible Delay in Payment.- Chapter 3.Effect of Outlier Detection on Clustering Accuracyand Computation Time of CHB K-means Algorithm.- Chapter 4. A Pragmatic Delineation on Cache Bypass Algorithmin Last Level Cache (LLC).- Chapter5. Effect of PhysiochemicalProperties on Classification Algorithms for Kinases Family.- Chapter 6.A Fuzzy Knowledge Based Sensor Node AppraisalTechnique for Fault Tolerant Data Aggregation in Wireless Sensor Networks.- Chapter 7.A Novel Recognition of Indian Bank Cheques Using FeedForward Neural Network.- Chapter8. ResourceManagement and Performance Analysis of Model-Based Control System SoftwareEngineering Using AADL.- Chapter9. PerformanceEvaluation of Rule Learning Classifiers in Anomaly Based Intrusion Detection.- Chapter 10.Evaluation of Faculty Performance in EducationSystem Using Classification Technique in Opinion Mining Based on GPU.- Chapter 11.A Constraint Based Question Answering over SemanticKnowledge Base.- Chapter 12. ACONN – A MulticastRouting Implementation.- Chapter13. Artificialintelligence (AI) Based Object Classification Using Principal Images.- Chapter 14.Signature Verification Using Rough Set Theory BasedFeature Selection.- Chapter 15. ProteinSequence Classification Based on N-gram and K-Nearest Neighbour Algorithm.- Chapter 16.Harmony Search Algorithm Based Optimal Tuning ofInterline Power Flow Controller for Congestion Management.- Chapter 17.Investigation of Broadband Characteristics ofCircularly Polarized Spidron Fractal Slot Antenna Arrays for WirelessApplication.- Chapter 18. A FuzzyLogic Based Finite Element Analysis for Structural Design of a 6 AxisIndustrial Robot.- Chapter 19. The Designand Development of Controller Software for ScanDF Receiver Subsystem(Simulator) Using Embedded RTOS.- Chapter20. Problem SolvingProcess for Euler Method by Using Object Oriented Design Method.- Chapter 21.Intelligent TCSC for Enhancement of VoltageStability and Power Oscillation Damping of an Off Grid.- Chapter 22.Weighted Matrix Based Reversible Data Hiding SchemeUsing Image Interpolation.- Chapter23. Enhanced  iLEACH Using ACO Based Inter-cluster DataAggregation.- Chapter 24. EvaluatingSeed Germination Monitoring System By Application of Wireless Sensor Networks:A Survey.- Chapter 25. A FLANN BasedNon-linear System Identification for Classification and Parameter Optimization UsingTournament Selective Harmony Search.- Chapter 26. Heart Disease Prediction System Evaluation UsingC4.5 Rules and Partial Tree.- Chapter27. PredictionStrategy for Software Reliability Based on Recurrent Neural Network.- Chapter 28.Chapter29. Design ofOptimized Multiply Accumulate Unit Using EMBR Techniques for Low PowerApplications.- Chapter 30. Decreasein False Assumption for Detection Using Digital Mammography.- Chapter 31.Test Case Prioritization Using Association RuleMining and Business Criticality Test Value.- Chapter 32. Nearest neighbour with priority Based RecommendationApproach to Group Recommender System.- Chapter 33. Image Super Resolution Reconstruction Using WaveletTransformation Based Genetic Algorithm.- Chapter 34. Implementation of Operating System Selection UsingAHP-Entropy Model.- Chapter 35. Modified FireflyAlgorithm (MFA) Based Vector Quantization for Image Compression.- Chapter 36.Performance Analysis of Selected Data MiningAlgorithms on Social Network Data and Discovery of User Latent Behavior.- Chapter 37.DE Optimized PID Controller with Derivative Filterfor AGC of Interconnected Restructured Power System.- Chapter 38. Opposition-basedGA Learning of Artificial Neural Networks for Financial Time Series Forecasting.-Chapter 39. Evolving LowComplex Higher Order Neural Network Based Classifiers for Medical Data Classification.-Chapter 40. Analysisof ECG Signals Using Advanced Wavelet Filtering Approach.- Chapter 41.Fast Multiplication with Partial Products UsingQuaternary Signed Digit Number System.- Chapter 42. A Mathematical Model for Optimization of PerishableResources with Uniform Decay.- Chapter43. ServerConsolidation with Minimal SLA Violations.- Chapter 44. Predicting Consumer Loads for Improved PowerScheduling in Smart Homes.- Chapter45. Preventionof Wormhole Attack Using Identity Based Signature Scheme in MANET.- Chapter 46.Optimization of Surface Grinding Process Using JayaAlgorithm.- Chapter 47. BITSMSSC: BrainImage Tomography Using SOM with Multi SVM Sigmoid Classifier.- Chapter 48.Non-Linear Classification Using Higher OrderPi-Sigma Neural Network and Improved Particle Swarm Optimization: AnExperimental Analysis. 
 

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

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