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.
Series
Edition
Language
Place of publication
Target group
Professional and scholarly
Research
Illustrations
229 farbige Abbildungen
XXIII, 520 p. 229 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 30 mm
Weight
ISBN-13
978-81-322-2729-8 (9788132227298)
DOI
10.1007/978-81-322-2731-1
Schweitzer Classification
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 Sensor Based Mechanism for Controlling Mobile
Robots with ZigBee.- Chapter 2. A Two-warehouse
Inventory Model with Exponential Demand under Permissible Delay in Payment.- Chapter 3.
Effect of Outlier Detection on Clustering Accuracy
and Computation Time of CHB K-means Algorithm.- Chapter 4. A Pragmatic Delineation on Cache Bypass Algorithm
in Last Level Cache (LLC).- Chapter
5. Effect of Physiochemical
Properties on Classification Algorithms for Kinases Family.- Chapter 6.
A Fuzzy Knowledge Based Sensor Node Appraisal
Technique for Fault Tolerant Data Aggregation in Wireless Sensor Networks.- Chapter 7.
A Novel Recognition of Indian Bank Cheques Using Feed
Forward Neural Network.- Chapter
8. Resource
Management and Performance Analysis of Model-Based Control System Software
Engineering Using AADL.- Chapter
9. Performance
Evaluation of Rule Learning Classifiers in Anomaly Based Intrusion Detection.- Chapter 10.
Evaluation of Faculty Performance in Education
System Using Classification Technique in Opinion Mining Based on GPU.- Chapter 11.
A Constraint Based Question Answering over Semantic
Knowledge Base.- Chapter 12. ACONN - A Multicast
Routing Implementation.- Chapter
13. Artificial
intelligence (AI) Based Object Classification Using Principal Images.- Chapter 14.
Signature Verification Using Rough Set Theory Based
Feature Selection.- Chapter 15. Protein
Sequence Classification Based on N-gram and K-Nearest Neighbour Algorithm.- Chapter 16.
Harmony Search Algorithm Based Optimal Tuning of
Interline Power Flow Controller for Congestion Management.- Chapter 17.
Investigation of Broadband Characteristics of
Circularly Polarized Spidron Fractal Slot Antenna Arrays for Wireless
Application.- Chapter 18. A Fuzzy
Logic Based Finite Element Analysis for Structural Design of a 6 Axis
Industrial Robot.- Chapter 19. The Design
and Development of Controller Software for ScanDF Receiver Subsystem
(Simulator) Using Embedded RTOS.- Chapter
20. Problem Solving
Process for Euler Method by Using Object Oriented Design Method.- Chapter 21.
Intelligent TCSC for Enhancement of Voltage
Stability and Power Oscillation Damping of an Off Grid.- Chapter 22.
Weighted Matrix Based Reversible Data Hiding Scheme
Using Image Interpolation.- Chapter
23. Enhanced iLEACH Using ACO Based Inter-cluster Data
Aggregation.- Chapter 24. Evaluating
Seed Germination Monitoring System By Application of Wireless Sensor Networks:
A Survey.- Chapter 25. A FLANN Based
Non-linear System Identification for Classification and Parameter Optimization Using
Tournament Selective Harmony Search.- Chapter 26. Heart Disease Prediction System Evaluation Using
C4.5 Rules and Partial Tree.- Chapter
27. Prediction
Strategy for Software Reliability Based on Recurrent Neural Network.- Chapter 28.<
A New Approach to Fuzzy Soft Set Theory and Its
Application in Decision Making.- Chapter
29. Design of
Optimized Multiply Accumulate Unit Using EMBR Techniques for Low Power
Applications.- Chapter 30. Decrease
in False Assumption for Detection Using Digital Mammography.- Chapter 31.
Test Case Prioritization Using Association Rule
Mining and Business Criticality Test Value.- Chapter 32. Nearest neighbour with priority Based Recommendation
Approach to Group Recommender System.- Chapter 33. Image Super Resolution Reconstruction Using Wavelet
Transformation Based Genetic Algorithm.- Chapter 34. Implementation of Operating System Selection Using
AHP-Entropy Model.- Chapter 35. Modified Firefly
Algorithm (MFA) Based Vector Quantization for Image Compression.- Chapter 36.
Performance Analysis of Selected Data Mining
Algorithms on Social Network Data and Discovery of User Latent Behavior.- Chapter 37.
DE Optimized PID Controller with Derivative Filter
for AGC of Interconnected Restructured Power System.- Chapter 38. Opposition-based
GA Learning of Artificial Neural Networks for Financial Time Series Forecasting.-
Chapter 39. Evolving Low
Complex Higher Order Neural Network Based Classifiers for Medical Data Classification.-
Chapter 40. Analysis
of ECG Signals Using Advanced Wavelet Filtering Approach.- Chapter 41.
Fast Multiplication with Partial Products Using
Quaternary Signed Digit Number System.- Chapter 42. A Mathematical Model for Optimization of Perishable
Resources with Uniform Decay.- Chapter
43. Server
Consolidation with Minimal SLA Violations.- Chapter 44. Predicting Consumer Loads for Improved Power
Scheduling in Smart Homes.- Chapter
45. Prevention
of Wormhole Attack Using Identity Based Signature Scheme in MANET.- Chapter 46.
Optimization of Surface Grinding Process Using Jaya
Algorithm.- Chapter 47. BITSMSSC: Brain
Image Tomography Using SOM with Multi SVM Sigmoid Classifier.- Chapter 48.
Non-Linear Classification Using Higher Order
Pi-Sigma Neural Network and Improved Particle Swarm Optimization: An
Experimental Analysis.
