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Author:
Publisher: Editora E-papers
ISBN: 8576502313
Category :
Languages : es
Pages : 219
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Book Description
Author:
Publisher: Editora E-papers
ISBN: 8576502313
Category :
Languages : es
Pages : 219
Get Book Here
Book Description
Author: José Hernández Orallo
Publisher: PRENTICE HALL
ISBN: 9788420540917
Category : Computers
Languages : es
Pages : 680
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Book Description
El manual discurre apoyándose en numerosos ejemplos prácticos y utilizando herramientas de minería de datos como SPSS, Clementine o WEKA, ilustrando cada técnica con las diferentes implementaciones que de ella proporciona cada sistema.
Author: Patricia Carracedo
Publisher:
ISBN:
Category :
Languages : es
Pages :
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Book Description
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: César Pérez López
Publisher: Editorial Ra-Ma
ISBN: 9788478976959
Category : Computers
Languages : es
Pages : 555
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Book Description
La finalidad de este libro es presentar los temas de minería de datos con un enfoque eminentemente práctico. El contenido de cada capítulo comienza exponiendo los conceptos adecuados, ilustrándolos a continuación con ejemplos prácticos resueltos con Enterprise Miner, lo que constituye un valor añadido esencial de este texto. Tras la presentación del concepto de Data Mining y la descripción del entorno de Enterprise Miner para la resolución de problemas prácticos, se detallan las distintas técnicas de minería de datos. Inicialmente se aborda la selección de datos y muestras, la exploración y análisis interactivo de datos y su depuración y modificación. Todo ello dentro del entorno de la aplicación más completa que hay en el mercado del software. A medida que avanza el contenido del libro se tratan técnicas específicas de Data Mining, como son el clustering, los modelos, los árboles de decisión, las redes neuronales, las técnicas de predicción, de reducción de la dimensión y de clasificación. Cada una de estas técnicas se ilustra con un ejemplo práctico y, al final de cada capítulo, se presentan ejemplos completos resueltos con Enterprise Miner. La interactividad de los ejemplos permite al lector ejecutarlos sobre la marcha basándose en los archivos contenidos en el CD-ROM que acompaña al libro.
Author: Meta S. Brown
Publisher: John Wiley & Sons
ISBN: 1118893174
Category : Computers
Languages : en
Pages : 422
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Book Description
Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.
Author: S. Sumathi
Publisher: Springer Science & Business Media
ISBN: 3540343504
Category : Computers
Languages : en
Pages : 836
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Book Description
This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.
Author: A. Zanasi
Publisher: WIT Press
ISBN: 1845641108
Category : Computers
Languages : en
Pages : 321
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Book Description
Bringing together papers presented at the ninth International Conference on Data Mining, this book addresses the developments in this important field. Featured topics include: data preparation, clustering technologies, customer relationship management, text mining, web mining, and categorisation methods.
Author: Panos M. Pardalos
Publisher: Springer Science & Business Media
ISBN: 1461421071
Category : Business & Economics
Languages : en
Pages : 256
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Book Description
Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques. This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.
Author: Miguel Antonio Wister Ovando
Publisher: Academic Press
ISBN: 0128123206
Category : Science
Languages : en
Pages : 316
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Book Description
Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow’s IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home. Examines the latest applications and future directions for mobile data sensing in an array of health and well-being scenarios Combines leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field of smart sensors, smart sensor networks, data analysis and machine intelligence methods Features an analysis of security, privacy and ethical issues in smart sensor health and well-being applications Equips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments
