Libros de Bases de datos, página 6 de 36

Scott Markel, Darryl LeonThis resource pulls together essential information for working with popular databases, analytical tools, and tables available for gene sequence analysis. It contains examples of flat files from key databases (Gen Bank, EMBL, DDBJ, Pfam, PROSITE, and SWISS-PROT), definitions of the codes or fields used in each database, and the sequence feature types/terms and qualifiers for the nucleotide and protein databases. Detailed information on nucleotide, protein, and genetic codes is provided, and command-line syntax is given for the most popular sequence analysis applications. Familiarity with sequence analysis and databases is assumed. Markel is a software architect in the private sector.

Covering every important feature in Seagate Crystal Reports, this book is filled with step-by-step examples, sample reports, and Visual Basic code providing readers with great report design and tips and techniques including coverage of the latest web enchancements. Designed to appeal to multiple audiences, this is a must-have resource for corporate professionals, Web developers, and Visual Basic programmers.

En el sentido más purista del término, hablar de Big Data es hablar de información. Y no de cualquier información: se trata de una cantidad de información tan voluminosa que el simple hecho de almacenarla plantea retos, y tratar de procesarla y estudiarla podria suponer un enorme desafio. Por suerte, desde hace mas de una decada, cientificos e ingenieros de compañias como Google o Yahoo, que empezaban a darse cuenta de los problemas que planteaba disponer de tales volumenes de datos, comenzaron a desarrollar tecnicas y herramientas para poder almacenar los datos y procesarlos de forma eficiente. Lejos de volumenes de datos especialmente grandes e instrumentos costosos, con este libro se introducira en el uso de algunos de estos recursos sin incurrir en gastos ni en demasiado tiempo de procesamiento para experimentar con ellos.

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

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