02639nam a22003257i 4500 20251030140033.0 a|||||r|||| 00| 0 t| 250226s2022 |||||||| |||| 00| 0 spa d 9780123814791 CO-ViULL rda spa eng 23 005.741 H233d1 Han, Jiawei 160793, autor. aut Data mining : concepts and techniques. 4. India : Morgan Kaufmann, 2022. 752 páginas : : tables ; figuras. texto txt rdacontent sin mediación n rdamedia volumen nc rdacarrier Contents. Chapter 1: Introduction. -- 1.1. What is data mining? -- 1.2. Data mining: an essential step in knowledge Discovery. -- Chapter 2: Data, measurements, and data preprocessing. -- Chapter 3: Data warehousing and online analytical processing. -- Chapter 4: Pattern mining: basic concepts and methods. -- Chapter 5: Pattern mining: advanced methods. -- Chapter 6: Classification: basic concepts and methods. -- Chapter 7: Classification: advanced methods. -- Chapter 8: Cluster analysis: basic concepts and methods. -- Chapter 9: Cluster analysis: advanced methods. -- Chapter 10: Deep learning. -- Chapter 11: Outlier detection. -- Chapter 12: Data mining trends and research frontiers. Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining. Data mining 160773. Computer science 160794. Pei, Jian 160796. Tong, Hanghang 164158. ddc BK 48276 48276 0 0 ddc 0 0 0 001 001 GEN 2025-02-26 Ediciones de la U Compra 800199.00 0 005.741 H233d1 088408 2025-02-26 12:24:32 Ej.:1 2025-02-26 SIS BK