Acceso identificado
En construcción...
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Tratamiento Inteligente de Datos
Material complementario
Preprocesamiento de Datos
Apéndice: Redes Neuronales Artificiales
Bibliografía recomendada
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Fernando Berzal:
Redes Neuronales & Deep Learning
https://deep-learning.ikor.org
Edición independiente, 2018
ISBN-10: 1-7312-6538-7 (blanco y negro) / 1-7313-1433-7 (color)
ISBN-13: 978-1-7312-6538-8 (blanco y negro) / 978-1-7313-1433-8 (color)
Edición en dos volúmenes, 2019
ISBN-10: 1-0903-2030-2 (volumen 1) / 1-0903-3688-8 (volumen 2)
ISBN-13: 978-1-0903-2030-8 (volumen 1) / 978-1-0903-3688-0 (volumen 2)
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Ian Goodfellow, Yoshua Bengio & Aaron Courville
Deep Learning
http://www.deeplearningbook.org
MIT Press, 2016
ISBN 0262035618
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Libros de texto
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Pang-Ning Tan, Michael Steinbach, Vipin Kumar & Anuj Karpatne:
Introduction to Data Mining
2nd edition, Addison-Wesley, 2018.
ISBN 0133128903
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Pang-Ning Tan, Michael Steinbach & Vipin Kumar:
Introduction to Data Mining
Addison-Wesley, 2006.
ISBN 0321321367
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Jiawei Han, Jian Pei & Hanghang Tong:
Data Mining: Concepts and Techniques
4th edition, Morgan Kaufmann, 2022
ISBN 0128117605
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Jiawei Han, Micheline Kamber & Jian Pei:
Data Mining: Concepts and Techniques
3rd edition, Morgan Kaufmann, 2011
ISBN 0123814790
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Jiawei Han & Micheline Kamber:
Data Mining: Concepts and Techniques
2nd edition, Morgan Kaufmann, 2006
ISBN 1558609016
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Jiawei Han & Micheline Kamber:
Data Mining: Concepts and Techniques
1st edition, Morgan Kaufmann, 2000
ISBN 1558604898
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Jure Leskovec, Anand Rajaraman & Jeffrey David Ullman:
Mining of Massive Datasets
3rd edition, Cambridge University Press, 2020.
ISBN 1108476341
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Charu C. Aggarwal:
Data Mining: The Textbook
Springer, 2015.
ISBN 3319141414
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Mohammed J. Zaki & Wagner Meira Jr.:
Data Mining and Analysis: Fundamental Concepts and Algorithms
2nd edition, Cambridge University Press, 2020.
ISBN 1108473989
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Steven S. Skiena:
The Data Science Design Manual
Springer, 2017.
ISBN 3319554433
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Foster Provost & Tom Fawcett:
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
O'Reilly, 2013.
ISBN 1449361323
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Revistas de investigación
Congresos
- KDD: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- ICDM: IEEE International Conference on Data Mining
- PKDD: European Conference on Principles of Data Mining and Knowledge Discovery
- SDM: SIAM International Conference on Data Mining
- ICDE: International Conference on Data Engineering
- CIKM: ACM International Conference on Information and Knowledge Management
- ADMA: International Conference on Advanced Data Mining and Applications
- PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining
- MLDM: International Conference on Machine Learning and Data Mining
- DS: International Conference on Discovery Science
- ICDM: Industrial Conference on Data Mining
Bases de Datos
- SIGMOD: ACM SIGMOD International Conference on Management of Data
- PODS: ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems
- VLDB: International Conference on Very Large Data Bases
- EDBT: International Conference on Extending Database Technology
- SSDBM: International Conference on Scientific and Statistical Database Management
- DEXA: Database and Expert Systems Applications
- DASFAA: Database Systems for Advanced Applications
Inteligencia Artificial
- AAAI: AAAI Conference on Artificial Intelligence
- ECML: European Conference on Machine Learning
- ICML: International Conference on Machine Learning
- IDA: International Symposium on Intelligent Data Analysis
- IDEAL: International Conference on Intelligent Data Engineering and Automated Learning
- ISMIS: International Syposium on Methodologies for Intelligent Systems
- WI: IEEE / WIC / ACM International Conference on Web Intelligence
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