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Details for:
Pehcevski J. Data Analysis anrmation Processing 2023
pehcevski j data analysis anrmation processing 2023
Type:
E-books
Files:
1
Size:
53.5 MB
Uploaded On:
May 30, 2023, 12:47 p.m.
Added By:
andryold1
Seeders:
0
Leechers:
0
Info Hash:
303C542118E593BCDDEEE25F14D5DB855138C483
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Textbook in PDF format 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. Section 1: Data Analytics Methods Chapter 1 Data Analytics in Mental Healthcare Chapter 2 Case Study on Data Analytics and Machine Learning Accuracy Chapter 3 Data Modeling and Data Analytics: A Survey from a Big Data Perspective Chapter 4 Big Data Analytics for Business Intelligence in Accounting and Audit Chapter 5 Big Data Analytics in Immunology: A Knowledge-Based Approach Section 2: Big Data Methods Chapter 6 Integrated Real-Time Big Data Stream Sentiment Analysis Service Chapter 7 The Influence of Big Data Analytics in the Industry Chapter 8 Big Data Usage in the Marketing Information System Chapter 9 Big Data for Organizations: A Review Chapter 10 Application Research of Big Data Technology in Audit Field Section 3: Data Mining Methods Chapter 11 A Short Review of Classification Algorithms Accuracy for Data Prediction in Data Mining Applications Chapter 12 Different Data Mining Approaches Based Medical Text Data Chapter 13 Data Mining in Electronic Commerce: Benefits and Challenges Chapter 14 Research on Realization of Petrophysical Data Mining Based on Big Data Technology Section 4: Information Processing Methods Chapter 15 Application of Spatial Digital Information Fusion Technology in Information Processing of National Traditional Sports Chapter 16 Effects of Quality and Quantity of Information Processing on Design Coordination Performance Chapter 17 Neural Network Optimization Method and its Application in Information Processing Chapter 18 Information Processing Features Can Detect Behavioral Regimes of Dynamical Systems
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Pehcevski J. Data Analysis and Information Processing 2023.pdf
53.5 MB
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