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.
Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.
This book constitutes the proceedings of the 1st International Conference on Systems and Information Sciences (ICCIS), held in Manta, Ecuador, from July 27 to 29, 2020, and was jointly organized by Universidad Laica Eloy Alfaro de Manabí “ULEAM”, in collaboration with GDEON. ICCIS aims to bring together systems and information sciences researchers and developers from academia and industry around the world to discuss cutting-edge research. The book covers the following topics: AI, Expert Systems and Big Data Analytics Cloud, IoT and Distributed Computing Communications Database System and Application Financial Technologies (FinTech), Economics and Business Engineering m-Learning and e-Learning Security Software Engineering Web Information Systems and Applications General Track
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.
This book constitutes the refereed proceedings of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, held in Valparaiso, Chile, November 13-16, 2007. The 97 revised full papers presented together with four keynote articles were carefully reviewed and selected from 200 submissions. The papers cover ongoing research and mathematical methods for pattern recognition, image analysis, and applications in areas such as computer vision, robotics, industry and health.
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.
This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held in Varadero, Cuba, in October 2023. The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions. The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.
This book constitutes the refereed proceedings of the Third International Conference on Technology Trends, CITT 2017, held in Babahoyo, Ecuador, in November 2017. The 16 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers are organized in topical sections on communications; computer and software engineering.
In today’s global culture where the internet has established itself as a main tool of communication, the global system of economy and regulations, as well as data and decisions based on data analysis, have become essential for public actors and institutions. Governments need to be updated and use the latest technologies to understand what society’s demands are, and user behavioral data, which can be pulled by intelligent applications, can offer tremendous insights into this. The Handbook of Research on Artificial Intelligence in Government Practices and Processes identifies definitional perspectives of behavioral data science and what its use by governments means for automation, predictability, and risks to privacy and free decision making in society. Many governments can train their algorithms to work with machine learning, leading to the capacity to interfere in the behavior of society and potentially achieve a change in societal behavior without society itself even being aware of it. As such, the use of artificial intelligence by governments has raised concerns about privacy and personal security issues. Covering topics such as digital democracy, data extraction techniques, and political communications, this book is an essential resource for data analysts, politicians, journalists, public figures, executives, researchers, data specialists, communication specialists, digital marketers, and academicians.
