Pehcevski J. (ed.) Data analysis and Information processing

Arcler Press, 2023. — 420 p. — ISBN: 978-1-77469-579-1.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 marketing information systems, a review of big data for organizations, and application research of big data technology in the 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 the application of spatial digital information fusion technology in the information processing of national traditional sports, the 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.Section 1: Data Analytics Methods
Data Analytics in Mental Healthcare.
Case Study on Data Analytics and Machine Learning Accuracy.
Data Modeling and Data Analytics: A Survey from a Big Data Perspective.
Big Data Analytics for Business Intelligence in Accounting and Audit.
Big Data Analytics in Immunology: A Knowledge-Based Approach.
Section 2: Big Data Methods
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 System.
Big Data for Organizations: A Review.
Application Research of Big Data Technology in the Audit Field.
Section 3: Data Mining Methods
A Short Review of Classification Algorithms Accuracy for Data Prediction in Data Mining Applications.
Different Data Mining Approaches Based Medical Text Data.
Data Mining in Electronic Commerce: Benefits and Challenges.
Research on Realization of Petrophysical Data Mining Based on Big Data Technology.
Section 4: Information Processing Methods
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.
Neural Network Optimization Method and its Application in Information Processing.
Information Processing Features Can Detect Behavioral Regimes of Dynamical Systems.