وبلاگ بلیان

تحلیل داده‌ها و پردازش اطلاعات

Data analysis and Information processing

معرفی کتاب «تحلیل داده‌ها و پردازش اطلاعات» (با عنوان لاتین Data analysis and Information processing) نوشتهٔ Jovan Pehcevski، منتشرشده توسط نشر Arcler Press در سال 2022. این کتاب در 2 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است.

This book covers different topics from data analysis and information processing, including data analytics methods, big data methods, data mining methods, and information processing methods. Section 1 focuses on data analytics methods, describing data analytics in mental healthcare, a case study on data analytics and machine learning accuracy, a survey from a big data perspective on data modeling and data analytics, big data analytics for business intelligence in accounting and audit, and a knowledge-based approach on big data analytics in immunology. Section 2 focuses on big data methods, describing an integrated real-time big data stream sentiment analysis service, the influence of big data analytics in the industry, big data usage in the marketing information systems, a review of big data for organizations, and an application research of big data technology in audit field. Section 3 focuses on data mining methods, describing a short review of classification algorithms accuracy for data prediction in data mining applications, different data mining approaches based on medical text data, the benefits and challenges of data mining in electronic commerce, and a research study on realization of petrophysical data mining based on big data technology. Section 4 focuses on information processing methods, describing application of spatial digital information fusion technology in information processing of national traditional sports, effects of quality and quantity of information processing on design coordination performance, a neural network optimization method and its application in information processing, and information processing features that can detect behavioral regimes of dynamical systems. Cover Title Page Copyright DECLARATION ABOUT THE EDITOR TABLE OF CONTENTS List of Contributors List of Abbreviations Preface Section 1: Data Analytics Methods Chapter 1 Data Analytics in Mental Healthcare Abstract Introduction Literature Review Mental Illness and its Type Effects of Mental Health on User Behavior How Data Science Helps to Predict Mental Illness? Conclusions Acknowledgments References Chapter 2 Case Study on Data Analytics and Machine Learning Accuracy Abstract Introduction Research Methodology Cyber-Threat Dataset Selection Ml Algorithms Selection Accuracy of Machine Learning Conclusion Acknowledgements References Chapter 3 Data Modeling and Data Analytics: A Survey from a Big Data Perspective Abstract Introduction Data Modeling Data Analytics Discussion Related Work Conclusions Acknowledgements References Chapter 4 Big Data Analytics for Business Intelligence in Accounting and Audit Abstract Introduction Machine Learning Data Analytics Data Visualization Conclusion Acknowledgements References Chapter 5 Big Data Analytics in Immunology: A Knowledge-Based Approach Abstract Introduction Materials and Methods Results and Discussion Conclusions References Section 2: Big Data Methods Chapter 6 Integrated Real-Time Big Data Stream Sentiment Analysis Service Abstract Introduction Related Works Architecture of Big Data Stream Analytics Framework Sentiment Model Experiments Conclusions Acknowledgements References Chapter 7 The Influence of Big Data Analytics in the Industry Abstract Introduction Status Quo Overview Big-Data Analysis Conclusions References Chapter 8 Big Data Usage in the Marketing Information System Abstract Introduction The Use of Information on the Decision-Making Process in Marketing Big Data Use of Big Data in the Marketing Information System Limitations Final Considerations References Chapter 9 Big Data for Organizations: A Review Abstract Introduction Big Data for Organizations Big Data in Organizations and Information Systems Conclusion Acknowledgements References Chapter 10 Application Research of Big Data Technology in Audit Field Abstract Introduction Overview of Big Data Technology Requirements on Auditing in the Era of Big Data Application of Big Data Technology in Audit Field Risk Analysis of Big Data Audit Conclusion References Section 3: Data Mining Methods Chapter 11 A Short Review of Classification Algorithms Accuracy for Data Prediction in Data Mining Applications Abstract Introduction Methods in Literature Results and Discussion Conclusions and Future Work References Chapter 12 Different Data Mining Approaches Based Medical Text Data Abstract Introduction Medical Text Data Medical Text Data Mining Discussion Acknowledgments References Chapter 13 Data Mining in Electronic Commerce: Benefits and Challenges Abstract Introduction Data Mining Some Common Data Mining Tools Data Mining in E-Commerce Benefits of Data Mining in E-Commerce Challenges of Data Mining in E-Commerce Summary and Conclusion References Chapter 14 Research on Realization of Petrophysical Data Mining Based on Big Data Technology Abstract Introduction Analysis of Big Data Mining of Petrophysical Data Mining Based on K-Means Clustering Analysis Conclusions Acknowledgements References Section 4: Information Processing Methods Chapter 15 Application of Spatial Digital Information Fusion Technology in Information Processing of National Traditional Sports Abstract Introduction Related Work Space Digital Fusion Technology Information Processing of National Traditional Sports Based on Spatial Digital Information Fusion Conclusion References Chapter 16 Effects of Quality and Quantity of Information Processing on Design Coordination Performance Abstract Introduction Methods Data Analysis Discussion Conclusion References Chapter 17 Neural Network Optimization Method and its Application in Information Processing Abstract Introduction Neural Network Optimization Method and its Research in Information Processing Neural Network Optimization Method and its Experimental Research In Information Processing Neural Network Optimization Method and its Experimental Research Analysis in Information Processing Conclusions Acknowledgments References Chapter 18 Information Processing Features Can Detect Behavioral Regimes of Dynamical Systems Abstract Introduction Methods Results Discussion Acknowledgments References Index Back Cover
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