2 863 169 libros electrónicos en 110 idiomas
¿No le conviene? No hay problema. Puede devolverlo en un plazo de 30 días
No se equivocará con un vale de regalo. El destinatario puede elegir cualquier producto de nuestra oferta.
Política de devolución de 30 días
Data compression is mandatory to manage massive datasets, indexing is fundamental to query them. However, their goals appear as counterposed: the former aims at minimizing data redundancies, whereas the latter augments the dataset with auxiliary information to speed up the query resolution.§In this monograph we introduce solutions that overcome this dichotomy.§We start by presenting the use of optimization techniques to improve the compression of classical data compression algorithms, then we move to the design of compressed data structures providing fast random access or efficient pattern matching queries on the compressed dataset. These theoretical studies are supported by experimental evidences of their impact in practical scenarios.
¡Hola! Soy Libroamiko, tu asesor de libros.
¿Cómo puedo ayudarte?