Discover how to:
- Understand the fundamentals of data mining and knowledge discovery, including data preprocessing, pattern recognition, and evaluation metrics
- Apply advanced techniques, such as clustering, decision trees, and neural networks, to real-world problems
- Select the right tools and techniques for your data analysis needs, including R, Python, and SQL
- Integrate data mining and knowledge discovery into your organization's decision-making processes
- Stay ahead of the curve with emerging trends and future directions in data mining and knowledge discovery, including big data, artificial intelligence, and machine learning
This ebook covers key topics such as:
- Introduction to data mining and knowledge discovery: fundamentals, benefits, and challenges
- Data preprocessing and pattern recognition: techniques and best practices
- Advanced data mining techniques: clustering, decision trees, neural networks, and more
- Real-world applications and case studies: marketing, finance, healthcare, and more
- Emerging trends and future directions: big data, AI, machine learning, and more
This ebook is divided into four parts:
- Introduction to Data Mining and Knowledge Discovery
- Data Preprocessing and Pattern Recognition
- Advanced Data Mining Techniques and Applications
- Emerging Trends and Future Directions in Data Mining and Knowledge Discovery
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.