Biologically Inspired Techniques in Many-Criteria Decision Making : International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) /: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019). (2020)

• Record Type: Book
• Further Information: Note: Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, Margarita N. Favorskaya.
• Editors: Dehuri, Satchidananda; Mishra, Bhabani Shankar Prasad; Mallick, Pradeep Kumar; Cho, Sung-Bae; Favorskaya, Margarita N
• Contents: Chapter 1: Classification of Arrhythmia Using Artificial Neural Network with Grey Wolf Optimization.- Chapter 2: Multi-objective Biogeography-Based Optimization for Influence Maximization-Cost Minimization in Social Networks.- Chapter 3: Classification of Credit Dataset Using Improved Particle Swarm Optimization Tuned Radial Basis Function Neural Networks.- Chapter 4: Multi-verse Optimization of Multilayer Perceptrons (MV-MLPs) for Efficient Modeling and Forecasting of Crude Oil Prices Data.- Chapter 5: Application of machine learning to predict diseases based on symptoms in rural India.- Chapter 6: Classıfıcatıon of Real Tıme Noısy Fıngerprınt Images Usıng FLANN.- Chapter 7: Software Reliability Prediction with Ensemble Method and Virtual Data Point Incorporation.- Chapter 8: Hyperspectral Image Classification using Stochastic Gradient Descent based Support Vector Machine.- Chapter 9: A Survey on Ant Colony Optimization for Solving Some of the Selected NP-Hard Problem.- Chapter 10: Machine Learning Models for Stock Prediction using Real-Time Streaming Data.- Chapter 11: Epidemiology of Breast Cancer (BC) and its Early Identification via Evolving Machine Learning Classification Tools (MLCT)–A Study.- Chapter 12: Ensemble Classification Approach for Cancer Prognosis and Prediction.- Chapter 13: Extractive Odia Text Summarization System: An OCR based Approach.- Chapter 14: Predicting sensitivity of local news articles from Odia dailies.- Chapter 15: A systematic frame work using machine learning approaches in supply chain forecasting.- Chapter 16: An Intelligent system on computer-aided diagnosis for Parkinson's disease with MRI using Machine Learning.- Chapter 17: Operations on Picture Fuzzy Numbers and their Application in Multi-Criteria Group Decision Making Problems.- Chapter 18: Some Generalized Results on Multi-Criteria Decision Making Model using Fuzzy TOPSIS Technique.- Chapter 19: A Survey on FP-Tree Based Incremental Frequent Pattern Mining.- Chapter 20: Improving Co-expressed Gene Pattern Finding Using Gene Ontology.- Chapter 21: Survey of Methods Used for Differential Expression Analysis on RNA Seq Data.- Chapter 22: Adaptive Antenna Tilt for Cellular Coverage Optimization in Suburban Scenario.- Chapter 23: A survey of the different itemset representation for candidate.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (258 pages)
• Subjects: Engineering; Computational intelligence; Artificial intelligence; Computers -- Data Processing; Computers -- Intelligence (AI) & Semantics; Databases; Artificial intelligence; Technology & Engineering -- Engineering (General); Engineering--Data processing
• Languages: English
• ISBNs: 9783030390334
• Related ISBNs: 9783030390327
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.