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

Häftad, Engelska, 2019

Av Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy

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This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies.

Produktinformation

Utgivningsdatum2019-12-05
Mått155 x 235 x 27 mm
Vikt750 g
FormatHäftad
SpråkEngelska
SerieAdvances in Intelligent Systems and Computing
Antal sidor481
FörlagSpringer Nature Switzerland AG
ISBN9783030360559

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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.