TY  - BOOK
AU  - Witten,I.H.
AU  - Frank,Eibe
AU  - Hall,Mark A.
AU  - Pal,Christopher J.
AU  - Foulds,James R.
TI  - Data mining: Practical machine learning tools and techniques
SN  - 9780443158889
PY  - 2026///
CY  - United States
PB  - Elsevier, Morgan Kaufmann
KW  - Data mining
KW  - localuoh
KW  - Minería de datos
N1  - Includes bibliographical references and index; Part I. Introduction to data mining -- What's it all about? -- Input: concepts, instances, attributes -- Output: knowledge representation -- Algorithms: the basic methods -- Credibility: evaluating what's been learned -- Preparation: data preprocessing and exploratory data analysis -- Ethics: what are the impacts of what's been learned? -- Part II. More advanced machine learning schemes -- Ensemble learning -- Extending instance-based and linear models -- Depp learning: fundamentals -- Advanced deep learning methods -- Beyond supervised and unsupervised learning -- Probabilistic methods: fundamentals -- Advanced probabilistic methods -- Moving on: applications and their consequences
UR  - https://itmsp.museknowledge.com/UOH?qurl=https://libros-uoh.uoh.cl/ebook_2/Data-miningpractical-machine-learning-tools-and-techniques
ER  -