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Intro; Preface; Organization; Contents
Part I; Contents
Part II; Computing Methodologies; Naïve Bayes Model Based Improved K-Nearest Neighbor Classifier for Breast Cancer Prediction; Abstract; 1 Introduction; 2 Literature Survey; 3 Proposed Approach; 4 Result and Discussion; 5 Conclusion and Future Work; References; Evaluation of Model Using J-48 and Other Classifier on Kddcup99 Through Performance Metrics; Abstract; 1 Introduction; 2 Literature Survey; 2.1 In This Section Literature Review Is Being Discussed; 3 Type of Attacks

3.1 This Section Consists of Following Types of Attacks in an IDS Network4 Types of Dataset; 4.1 Datasets and Tools; 5 Performance Metrics; 5.1 Precision Metric; 5.2 Recall Metric; 5.3 F-Measure; 5.4 Accuracy; 6 Comparisons Made by Different Researchers; 6.1 Comparisons; 7 Proposed Work; 7.1 Work; 8 Conclusion; References; Malaria Detection Using Custom Convolutional Neural Network Model on Blood Smear Slide Images; Abstract; 1 Introduction; 2 Related Work; 3 Proposed Methodology; 3.1 Convolutional Neural Networks; 3.2 Configuration of CNN Model

3.3 CNN Architecture for Malaria Image Classification4 Results and Discussion; 4.1 Data Preprocessing; 5 Conclusion; References; Rank Based Multi Path Job Execution Sequencing for Multi Cluster Environment to Find Shortest Path; Abstract; 1 Introduction; 1.1 Resource Allocation Within Cloud; 1.2 Resource Allocation in Grid; 2 Literature Survey; 3 Proposed System; 3.1 Working of Shortest Job First Scheduler; 3.2 Working of Round Robin Scheduler; 3.3 Working of PBS; 3.4 Working of Multi Source Shortest Path Algorithm; 4 Performance Analysis and Results; 5 Conclusion and Future Scope; References

Optimization of a Real Time Web Enabled Mixed Model Stochastic Assembly Line to Reduce Production TimeAbstract; 1 Introduction; 2 Water Bottling Plant as a Case Study; 3 Model Overview; 3.1 Customer Inputs Using Web Apps; 3.2 Source and Storage Subsystem-Subsystem A; 3.3 Bottle Manufacturing Subsystem-Subsystem B; 3.4 Water Filling Subsystem-Subsystem C; 4 Problem Formulation and Optimization; 5 Results and Discussion; 6 Conclusion and Future Work; Acknowledgements:; References; Recommendation System of Dietary Patterns for Cardiovascular Disease Patients Using Decision Making Approach

Abstract1 Introduction; 2 Methodology; 3 Experimental Work; 4 Validation of the Work; 5 Results and Discussions; 6 Conclusions; References; A Model for Classification of Breast Cell Density Using ANN and Shift Invariance Wavelet Transform ConvNet; Abstract; 1 Introduction; 2 Related Work; 3 Proposed System; 3.1 Database Used in the Study; 3.2 Double Tree Complex Valued Discrete Wavelet Transform; 3.3 Digital Mammogram Attribute Vectors; 3.4 Convolutional Neural Networks; 3.5 Dual-Tree Wavelet Based Convolutional Neural Networks; 3.6 Artificial Neural Networks (ANN)

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