Data Science From Research to Application 1st edition by Mahdi Bohlouli, Bahram Sadeghi Bigham, Zahra Narimani, Mahdi Vasighi, Ebrahim Ansari ISBN 3030373096 9783030373092

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Product details:

ISBN 10: 3030373096
ISBN 13: 9783030373092
Author: Mahdi Bohlouli, Bahram Sadeghi Bigham, Zahra Narimani, Mahdi Vasighi, Ebrahim Ansari

This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, “Data Science” was listed as LinkedIn’s fastest-growing job in 2017. This book presents selected papers from the International Conference on Contemporary Issues in Data Science (CiDaS 2019), a professional data science event that provided a real workshop (not “listen-shop”) where scientists and scholars had the chance to shareideas, form new collaborations, and brainstorm on major challenges; and where industry experts could catch up on emerging solutions to help solve their concrete data science problems. Given its scope, the book will benefit not only data scientists and scientists from other domains, but also industry experts, policymakers and politicians.

Data Science From Research to Application 1st Table of contents:

1. Efficient Cluster Head Selection Using the Non-linear Programming Method for Wireless Sensor Networks
2. A Survey on Measurement Metrics for Shape Matching Based on Similarity, Scaling and Spatial Distance
3. Static Signature-Based Malware Detection Using Opcode and Binary Information
4. RSS_RAID a Novel Replicated Storage Schema for RAID System
5. A New Distributed Ensemble Method with Applications to Machine Learning
6. A Glance on Performance of Fitness Functions Toward Evolutionary Algorithms in Mutation Testing
7. Density Clustering Based Data Association Approach for Tracking Multiple Targets in Cluttered Environment
8. Representation Learning Techniques: An Overview
9. A Community Detection Method Based on the Subspace Similarity of Nodes in Complex Networks
10. Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches
11. Identifying Cancer-Related Signaling Pathways Using Formal Methods
12. Predicting Liver Transplantation Outcomes Through Data Analytics
13. Deep Learning Prediction of Heat Propagation on 2-D Domain via Numerical Solution
14. Cluster Based User Identification and Authentication for the Internet of Things Platform
15. Forecasting of Customer Behavior Using Time Series Analysis
16. Correlation Analysis of Applications’ Features: A Case Study on Google Play
17. Information Verification Enhancement Using Entailment Methods
18. A Clustering Based Approximate Algorithm for Mining Frequent Itemsets
19. Next Frame Prediction Using Flow Fields
20. Using Augmented Genetic Algorithm for Search-Based Software Testing
21. Building and Exploiting Lexical Databases for Morphological Parsing
22. A Novel Topological Descriptor for ASL
23. Pairwise Conditional Random Fields for Protein Function Prediction
24. Adversarial Samples for Improving Performance of Software Defect Prediction Models
25. A Systematic Literature Review on Blockchain-Based Solutions for IoT Security
26. An Intelligent Safety System for Human-Centered Semi-autonomous Vehicles
27. Back Matter

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Tags: Mahdi Bohlouli, Bahram Sadeghi Bigham, Zahra Narimani, Mahdi Vasighi, Ebrahim Ansari, Data Science, Research to Application