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Author: Enrinco Guardelli
Publisher: Clube de Autores
ISBN:
Category : Computers
Languages : es
Pages : 243
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Book Description
Este libro ofrece una introducción completa y accesible a los campos de la minería de datos y la inteligencia artificial. Cubre todo, desde conceptos básicos hasta estudios de casos avanzados, con énfasis en la aplicación práctica utilizando herramientas como Python y R. También aborda cuestiones críticas de ética y responsabilidad en el uso de estas tecnologías, discutiendo temas como la privacidad, el sesgo algorítmico y transparencia. El objetivo es permitir al lector aplicar técnicas de minería de datos e inteligencia artificial a problemas reales, contribuyendo a la innovación y el progreso en su área de especialización.
Author: Enrinco Guardelli
Publisher: Clube de Autores
ISBN:
Category : Computers
Languages : es
Pages : 243
Get Book Here
Book Description
Este libro ofrece una introducción completa y accesible a los campos de la minería de datos y la inteligencia artificial. Cubre todo, desde conceptos básicos hasta estudios de casos avanzados, con énfasis en la aplicación práctica utilizando herramientas como Python y R. También aborda cuestiones críticas de ética y responsabilidad en el uso de estas tecnologías, discutiendo temas como la privacidad, el sesgo algorítmico y transparencia. El objetivo es permitir al lector aplicar técnicas de minería de datos e inteligencia artificial a problemas reales, contribuyendo a la innovación y el progreso en su área de especialización.
Author: D. Binu
Publisher: Academic Press
ISBN: 0128206160
Category : Science
Languages : en
Pages : 270
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Book Description
Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense
Author: Enrico Guardelli
Publisher: MedTechBiz
ISBN:
Category : Computers
Languages : es
Pages : 190
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Book Description
Este libro ofrece una introducción completa y accesible a los campos de la minería de datos y la inteligencia artificial. Cubre todo, desde conceptos básicos hasta estudios de casos avanzados, con énfasis en la aplicación práctica utilizando herramientas como Python y R. También aborda cuestiones críticas de ética y responsabilidad en el uso de estas tecnologías, discutiendo temas como la privacidad, el sesgo algorítmico y transparencia. El objetivo es permitir al lector aplicar técnicas de minería de datos e inteligencia artificial a problemas reales, contribuyendo a la innovación y el progreso en su área de especialización.
Author: Petra Perner
Publisher: Springer Science & Business Media
ISBN: 3540441166
Category : Business & Economics
Languages : en
Pages : 115
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Book Description
This book presents six thoroughly reviewed and revised full papers describing selected projects on data mining. Three papers deal with data mining and e-commerce, focusing on sequence rule analysis, association rule mining and knowledge discovery in databases, and intelligent e-marketing with Web mining. One paper is devoted to experience management and process learning. The last two papers report on medical applications, namely on genomic data processing and on case-based reasoning for prognosis of influenza.
Author: Enrico Guardelli
Publisher: Clube de Autores
ISBN:
Category : Computers
Languages : es
Pages : 190
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Book Description
La minería de datos y la inteligencia artificial (IA) emergen como disciplinas centrales para transformar los datos en conocimientos valiosos. La integración de la minería de datos y la IA permite la automatización de procesos complejos, la previsión de tendencias y la toma de decisiones autónoma. Este libro ofrece una introducción completa y accesible a estos campos, desde conceptos básicos hasta estudios de casos avanzados, con énfasis en la aplicación práctica utilizando herramientas como Python y R. El objetivo es permitir al lector aplicar técnicas de minería de datos e inteligencia artificial a problemas reales, contribuyendo a la innovación y el progreso en su campo.
Author: Lior Rokach
Publisher: Springer
ISBN: 9783031246272
Category : Computers
Languages : en
Pages : 0
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Book Description
This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.
Author: Dawn E. Holmes
Publisher: Springer Science & Business Media
ISBN: 3642231667
Category : Technology & Engineering
Languages : en
Pages : 341
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Book Description
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Author: Dawn E. Holmes
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Dawn E. Holmes
Publisher: Springer Science & Business Media
ISBN: 3642231519
Category : Technology & Engineering
Languages : en
Pages : 367
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Book Description
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Author: Mark Last
Publisher: World Scientific
ISBN: 9812382909
Category : Mathematics
Languages : en
Pages : 205
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Book Description
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed. Contents: A Survey of Recent Methods for Efficient Retrieval of Similar Time Sequences (H M Lie); Indexing of Compressed Time Series (E Fink & K Pratt); Boosting Interval-Based Literal: Variable Length and Early Classification (J J Rodriguez Diez); Segmenting Time Series: A Survey and Novel Approach (E Keogh et al.); Indexing Similar Time Series under Conditions of Noise (M Vlachos et al.); Classification of Events in Time Series of Graphs (H Bunke & M Kraetzl); Median Strings--A Review (X Jiang et al.); Change Detection in Classfication Models of Data Mining (G Zeira et al.). Readership: Graduate students, reseachers and practitioners in the fields of data mining, machine learning, databases and statistics.
