Libros de Bases de datos, página 5 de 36

A complete revision of the original title, this second edition adds new material on Oracle 7.3 and many Oracle 8 features. It explores new Oracle capabilities like parallel server, parallel query, and distributed database. It contains more detail on constraints and triggers, many more examples, and information on new tuning tools like the Oracle Performance Pack, Oracle Trace, and Oracle Expert.

Se acabaron las preocupaciones para navegar por entre las agitadas aguas de Microsoft Access para Windows 95. Esta obra fácil de usar, ofrece explicaciones claras, apoyadas en iconos, consejos y ejemplos utiles.Indice Extractado: Como usar este libro. Introduccion a Access para Windows 95. Abrir, Cerrar, Guardar e Imprimir. Crear tablas y relaciones. Edicion del contenido de la base de datos. Ver y organizar hojas de datos. Hacer consultas. Trabajar con informes y formularios. Indice analitico.

Aquí encontrará con rapidez información precisa sobre Microsoft Access 97. Podrá conocer de inmediato y a la perfección el terreno que pisa identificar los botones de las barras de herramientas y las

El objetivo de este libro es enseñarle a manejar un gestor de bases de datos. A lo largo de sus páginas aprenderá a crear y manejar tablas, formularios, consultas e informes. El libro está dirigido tanto a estudiantes como a profesionales interesados en conseguir rapidamente conocimientos practicos sobre bases de datos. El programa sobre el que hemos basado tanto las explicaciones teoricas como los ejercicios practicos es el Microsoft Access.INDICE: Capitulo 1. Introduccion a las Bases de Datos 11. Capitulo 2. Introduccion a Access 33. Capitulo 3. Creacion de Tablas 49. Capitulo 4. Actualizacion de Tablas 67. Capitulo 5. Creacion de Tablas con el Asistente 87. Capitulo 6. Formularios 109. Capitulo 7. Algunas Operaciones Adicionales 127. Capitulo 8. Objetos OLE 147. Capitulo 9. Construccion de Expresiones 165. Capitulo 10. Tablas relacionadas entre si 175. Capitulo 11. Consultas de Tablas Simples 195. Capitulo 12. Consultas de Tablas Relacionadas 211. Capitulo 13. Informes (I) 235. Capitulo 14. Informes (II) 259. Capitulo 15. Impresion en Access 275. Anexo A. Ejercicios Teoricos 287. Anexo B. Ejercicios Practicos 303. Indice Alfabetico 321.

This book comprehensively covers the topic of recommender systems which provide personalized recommendations of products or services to users based on their previous searches or purchases Recommender system methods have been adapted to diverse applications including query log mining social networking news recommendations and computational advertising This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity The chapters of this book are organized into three categories Algorithms and evaluation These chapters discuss the fundamental algorithms in recommender systems including collaborative filtering methods content based methods knowledge based methods ensemble based methods and evaluation Recommendations in specific domains and contexts the context of a recommendation can be viewed as important side information that affects the recommendation goals Different types of context such as temporal data spatial data social data tagging data and trustworthiness are explored Advanced topics and applications Various robustness aspects of recommender systems such as shilling systems attack models and their defenses are discussed In addition recent topics such as learning to rank multi armed bandits gr

The field of artificial intelligence data science and analytics is crippling itself Exaggerated promises of unrealistic technologies simplifications of complex projects and marketing hype are leading to an erosion of trust in one of our most critical approaches to making decisions data driven This book aims to fix this by countering the AI hype with a dose of realism Written by two experts in the field the authors firmly believe in the power of mathematics computing and analytics but if false expectations are set and practitioners and leaders don t fully understand everything that really goes into data science projects then a stunning 80 or more of analytics projects will continue to fail costing enterprises and society hundreds of billions of dollars and leading to non experts abandoning one of the most important data driven decision making capabilities altogether For the first time business leaders practitioners students and interested laypeople will learn what really makes a data science project successful By illustrating with many personal stories the authors reveal the harsh realities of implementing AI and analytics

Computational Intelligence and Blockchain in Complex Systems System Security and Interdisciplinary Applications provides readers with a guide to understanding the dynamics of AI machine learning and computational intelligence in blockchain and how these rapidly developing technologies are revolutionizing a variety of interdisciplinary research fields and applications This book examines the role of computational intelligence and machine learning in the development of algorithms to deploy blockchain technology across a number of applications including healthcare insurance smart grid smart contracts digital currency precision agriculture and supply chain The authors cover the unique and developing intersection between cyber security and blockchain in modern networks as well as in depth studies on cybersecurity challenges and multidisciplinary methods in modern blockchain networks Readers will find mathematical equations throughout the book as part of the underlying concepts and foundational methods especially the complex algorithms involved in blockchain security aspects for hashing coding and decoding This book also provides readers with the most in depth technical guide to the intersection of computational intelligence and blockchain two of the most

Este manual se constituye como una guía práctica para llevar a cabo un proceso eficiente de búsqueda de información entendida como un conjunto de procedimientos y operaciones encaminadas a localizar y recuperar los documentos necesarios, relevantes y fiables, que faciliten la obtencion de nuevos conocimientos para el desarrollo de tareas academicas, de investigacion y o para facilitar la toma de decisiones informadas basadas en evidencias en el entorno profesional.A lo largo de los diferentes capitulos se presenta un recorrido tematico que abarca la concepcion de la busqueda de informacion como proceso de comunicacion, la descripcion de la estructura de las bases de datos, la explicacion de la utilizacion del lenguaje natural y del lenguaje controlado, la identificacion de las ventajas y los problemas derivados del uso de estos lenguajes, la sistematizacion de las etapas para formular un proceso busqueda de informacion tipo, la explicacion de las medidas para evaluar estrategias y resultados de busquedas de informacion y para detectar los principales tipos de errores en estrategias de busquedas, asi como la aportacion de soluciones para corregirlos.