Recent Advances on Soft Computing and Data Mining Proceedings of the Fourth International Conference on Soft Computing and Data Mining (SCDM 2020), Melaka, Malaysia, January 22–23, 2020 /
| Corporate Author: | |
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| Other Authors: | , , , |
| Summary: | XVII, 481 p. 210 illus., 156 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | Advances in Intelligent Systems and Computing,
978 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-36056-6 |
| Format: | Electronic Book |
Table of Contents:
- Chapter 1: An Enhanced Model for Digital Reference Services (MDRS)
- Chapter 2: Fuzzy Random Based Mean Variance Model For Agricultural Production Planning
- Chapter 3: Residual Neural Network vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition
- Chapter 4: Incorporating the Markov Chain Model in WBSN for Improving Patients’ Remote Monitoring Systems
- Chapter 5: Designing Deep Neural Network with Chicken Swarm Optimization for Violence Video Classification using VSD2014 Dataset
- Chapter 6: Header Based Email Spam Detection Framework Using Support Vector Machine (SVM) Technique
- Chapter 7: A Mechanism to Support Agile Frameworks Enhancing Reliability Assessment for SCS Development: A Case Study of Medical Surgery Departments
- Chapter 8: Link Bandwidth Recommendation for Indonesian E-Health Grid
- Chapter 9: Investigating the Optimal Parameterization of Deep Neural Network and Synthetic DataWorkflow for Imbalance Liver Disorder Dataset Classification
- Chapter 10: Genetic Algorithm Based Parallel K-Means Data Clustering Algorithm Using MapReduce Programming Paradigm on Hadoop Environment (GAPKCA)
- Chapter 11: Android Botnet Detection by Classification Techniques.