Machine learning for intelligent decision science. (2020)

• Record Type: Book
• Further Information: Note: Jitendra Kumar Rout, Minakhi Rout, Himansu Das, editors.
• Other Names: Rout, Jitendra Kumar; Rout, Minakhi; Das, Himansu
• Contents: Intro -- Preface -- Contents -- About the Editors -- 1 Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India -- 1 Introduction -- 2 Study Area -- 3 Database and Methodology -- 3.1 Used Dataset -- 3.2 Orientation of the Data -- 4 Materials and Methodology -- 4.1 Geo-Environmental Factors -- 4.2 Gully Erosion Inventory Map -- 4.3 Description of Methodology -- 4.4 Evaluation of Models -- 5 Results and Discussion 5.1 Gully Erosion Susceptibility Assessment Using MLPC, Bagging-MLPC, Dagging-MLPC and Decorate-MLPC -- 5.2 Validation -- 6 Conclusion -- References -- 2 Classification of ECG Heartbeat Using Deep Convolutional Neural Network -- 1 Introduction -- 1.1 State of the Art -- 1.2 Contribution -- 2 Database Used -- 3 Methodology -- 3.1 Arrhythmia Database Normalization -- 3.2 Heartbeat Segmentation -- 3.3 Class Imbalance to Balance by Artificial Data Generation -- 3.4 Convolutional Neural Network (CNN) -- 4 Experimental Results -- 5 Conclusion -- References 3 Breast Cancer Identification and Diagnosis Techniques -- 1 Introduction -- 1.1 Clinical Decision Support Systems -- 2 Imaging Techniques -- 3 Pre-processing Techniques -- 3.1 Mean Filter -- 3.2 Median Filtering -- 3.3 AMF Technique -- 3.4 Wiener Filter -- 3.5 CLAHE Technique -- 3.6 HM-LCE Technique -- 4 Feature Extraction Techniques -- 4.1 Gray-Map -- 4.2 Sobel -- 4.3 SGLDM -- 4.4 AFUM -- 4.5 SFUM -- 5 Machine Learning Approaches -- 5.1 Support Vector Machine -- 5.2 Biclustering and Adaboost Techniques -- 5.3 CNN Classifier -- 5.4 RCNN -- 5.5 BI-RADS 5.6 Hierarchical Attention Bidirectional Recurrent Neural Networks (HA-BiRNN) -- 6 ICD-9 Diagnosis Codes from an Existing EHR Data Repository -- 7 Outlier Detection -- 8 Conclusions -- References -- 4 Energy-Efficient Resource Allocation in Data Centers Using a Hybrid Evolutionary Algorithm -- 1 Introduction -- 2 Related Work -- 3 Interactive PSO-GA -- 3.1 Particle Swarm Optimization (PSO) -- 3.2 Genetic Algorithm (GA) -- 3.3 Modeling Energy-Aware VM Allocation -- 3.4 Interactive PSO-GA (IPSOGA) -- 4 Experiments and Performance Evaluation 4.1 Performance Analysis in Terms of Energy Consumption -- 4.2 Performance Analysis in Terms of Convergence -- 4.3 Performance Analysis in Terms of Speedup and Parallel Efficiency -- 4.4 Validation Against Benchmark Test Problems -- 5 Conclusion -- References -- 5 Root-Cause Analysis Using Ensemble Model for Intelligent Decision-Making -- 1 Introduction -- 2 Literature Review -- 2.1 Unsupervised Approaches -- 2.2 Semi-supervised Approaches -- 2.3 Supervised Approaches -- 2.4 Rule-Based Approaches -- 3 Proposed Work -- 3.1 Pre-processing of Reviews -- 3.2 Aspect Categorization Ontology
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (219 pages)
• Subjects: 006.3/1; Machine learning; Machine learning; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811536892; 9811536899
• Related ISBNs: 9789811536885; 9811536880
• Notes: Note: Print version record.
• 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.