Computational Intelligence in Data Mining—Volume 1 (eBook)

Proceedings of the International Conference on CIDM, 5-6 December 2015
eBook Download: PDF
2015 | 1st ed. 2016
XXIII, 494 Seiten
Springer India (Verlag)
978-81-322-2734-2 (ISBN)

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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.

Prof. Himansu Sekhar 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, Established by Govt. of Odisha, Burla, Odisha. He has received M.Tech in Computer Science & Engineering from N.I.T, Rourkela (formerly R.E.C, Rourkela) and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Govt. of Odisha, respectively. He has published more than 80 research papers in various international Journals and Conferences, edited 11 books and is acting as a Member of the Editorial / Reviewer Board of various international journals. He is proficient in the field of Computer Science Engineering and served in the capacity of program chair, tutorial chair and acted as advisory member of committees of many national and international conferences. His research interests include Data Mining, Soft Computing, Evolutionary Computation, Machine Intelligence and Distributed System. He is associated with various educational and research societies like OITS,ISTE, IE, ISTD,CSI,OMS,AIAER, SMIAENG,SMCSTA, etc.

Prof. Durga Prasad Mohapatra received his Ph.D. from Indian Institute of Technology Kharagpur 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 30 research papers in these fields in various international Journals and Conferences. He has received several project grants from DST and UGC, Govt. of India. He has received the Young Scientist Award for the year 2006 by Orissa Bigyan Academy. He has also received the Prof. K. Arumugam National Award and the Maharashtra State National Award for outstanding research work in Software Engineering for the years 2009 and 2010, respectively from the Indian Society for Technical Education (ISTE), New Delhi. He is going to receive the Bharat Sikshya Ratan Award for significant contribution in academics awarded by the Global Society for Health and Educational Growth, Delhi. 


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.

Prof. Himansu Sekhar 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, Established by Govt. of Odisha, Burla, Odisha. He has received M.Tech in Computer Science & Engineering from N.I.T, Rourkela (formerly R.E.C, Rourkela) and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Govt. of Odisha, respectively. He has published more than 80 research papers in various international Journals and Conferences, edited 11 books and is acting as a Member of the Editorial / Reviewer Board of various international journals. He is proficient in the field of Computer Science Engineering and served in the capacity of program chair, tutorial chair and acted as advisory member of committees of many national and international conferences. His research interests include Data Mining, Soft Computing, Evolutionary Computation, Machine Intelligence and Distributed System. He is associated with various educational and research societies like OITS,ISTE, IE, ISTD,CSI,OMS,AIAER, SMIAENG,SMCSTA, etc. Prof. Durga Prasad Mohapatra received his Ph.D. from Indian Institute of Technology Kharagpur 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 30 research papers in these fields in various international Journals and Conferences. He has received several project grants from DST and UGC, Govt. of India. He has received the Young Scientist Award for the year 2006 by Orissa Bigyan Academy. He has also received the Prof. K. Arumugam National Award and the Maharashtra State National Award for outstanding research work in Software Engineering for the years 2009 and 2010, respectively from the Indian Society for Technical Education (ISTE), New Delhi. He is going to receive the Bharat Sikshya Ratan Award for significant contribution in academics awarded by the Global Society for Health and Educational Growth, Delhi. 

Chapter 1. A Novel Approach for Biometric
Authentication 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 Discrete
Time Systems Using Modified Routh Approximation Method via w-Domain.- Chapter 4.
Pose Invariant Face Recognition for New Born:
Machine Learning Approach.- Chapter
5. Implementation
of Data Analytics for MongoDB Using Trigger Utility.- Chapter 6.
Heart Disease Prediction Using k-Nearest Neighbour
Classifier Based on Handwritten Text .- Chapter 7. Optimizing a Higher Order Neural Network through
Teaching Learning Based Optimization Algorithm.- Chapter 8. Deploying a Social Web Graph over a Semantic Web
Framework.- Chapter 9. Detecting
and Analysing Invariant Groups in Complex Networks.- Chapter 10.
Automatic Mucosa Detection in Video Capsule
Endoscopy with Adaptive Thresholding.- Chapter 11. Optimization Approach for Feature Selection and
Classification with Support Vector Machine.- Chapter 12. Design and Development of Controller Software for MAS
Receiver Using Socket Programming.- Chapter
13. Inference of
Replanting in Forest Fire Affected Land Using Data Mining Technique.- Chapter 14.
A New Approach on Color Image Encryption Using
Arnold 4D Cat Map.- Chapter 15. Neutrosophic
Logic Based New Methodology to Handle Indeterminacy Data for Taking Accurate
Decision.- Chapter 16. Prognostication
of Student’s Performance: An Hierarchical Clustering Strategy for Educational
Dataset.- Chapter 17. Design and
Implementation ACO Based Edge Detection on the Fusion of Hue and PCA.- Chapter 18.
Effective Sentimental Analysis & Opinion Mining
of Web Reviews Using Rule Based Classifiers.- Chapter 19. Trigonometric Fourier Approximation of the Conjugate
Series of a Function of Generalized Lipchitz Class by Product Summability.- Chapter 20.
Optimal Energy Efficient Path Selection Using Venus
Flytrap Optimization Algorithm in MANET.- Chapter 21. Bi-clustering Using Venus Flytrap Optimization
Algorithm.- Chapter 22. Analytical
Structure of a Fuzzy Logic Controller for Software Development Effort
Estimation.- Chapter 23. Malayalam
Spell Checker Using N-Gram Method.- Chapter
24. Sample Classification
Based on Gene Subset Selection.- Chapter
25. A Multi
Criteria Document Clustering Approach Using Genetic Algorithm.- Chapter 26.
Positive and Negative Association Rule Mining Using
Correlation Threshold and Dual Confidence Approach.- Chapter 27.
Extractive Text Summarization Using Lexical Association
and Graph Based Text Analysis.- Chapter
28. Design of
Linear Phase FIR Band Stop Filter Using Fusion Based DEPSO Algorithm.- Chapter 29.
A Survey on Face Detection and Person Re-identification.-
Chapter 30. Machine
Translation of Telugu Singular Pronoun Inflections to Sanskrit.- Chapter 31.
Tweet Analyzer: Identifying Interesting Tweets Based
on the Polarity of Tweets.- Chapter
32. Face-Tracking
to Detect Dynamic Target in Wireless Sensor Networks.- Chapter 33.
Abnormal Gait Detection Using Lean and Ramp Angle Features.-
Chapter 34. Fuzzy
Logic and AHP-based Ranking of Cloud Service Providers.- Chapter 35.
Classification of Tabla Strokes Using Neural
Network.- Chapter 36. Automatic
Headline Generation for News Article.- Chapter 37. Identifying Natural Communities in Social Networks Using
Modularity Coupled with Self Organizing Maps.- Chapter 38. A Low Complexity
FLANN Architecture for Forecasting Stock Time Series Data Training with
Meta-Heuristic Firefly Algorithm.- Chapter
39. A Novel Scheduling
Algorithm for Cloud Computing Environment.- Chapter 40. PSO Based Tuning of a Integral and Proportional Integral
Controller for a Closed Loop Stand-alone Multi Wind Energy System.- Chapter 41.
Statistically Validating Intrusion Detection
Framework against Selected DoS Attacks in Ad Hoc Networks: An NS-2 Simulation
Study.- Chapter 42. Fourier
Features for the Recognition of Ancient Kannada Text.- Chapter 43.
A Spelling Mistake Correction (SMC) Model for Resolving
Real-word Error.- Chapter 44. Differential
Evolution Based Tuning of Proportional Integral Controller for Modular
Multilevel Converter STATCOM.- Chapter
45. Designing
of DPA Resistant Circuit Using Secure Differential Logic Gates.- Chapter 46.
Efficient Algorithm for Web Search Query
Reformulation Using Genetic Algorithm.- Chapter 47. Throughput of a Network Shared by TCP Reno and TCP
Vegas in Static Multi-hop Wireless Network.- Chapter 48. A Pronunciation Rule-based Speech Synthesis
Technique for Odia Numerals.

Erscheint lt. Verlag 8.12.2015
Reihe/Serie Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing
Zusatzinfo XXIII, 494 p. 205 illus. in color.
Verlagsort New Delhi
Sprache englisch
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Informatik Software Entwicklung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Advance Computing Methods • Big data analysis • Computational Intelligence • Data Mining • fuzzy logic systems • ICCIDM • ICCIDM 2015 • ICCIDM Proceedings • machine learning
ISBN-10 81-322-2734-4 / 8132227344
ISBN-13 978-81-322-2734-2 / 9788132227342
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