Neu Neuware; teils original eingeschweisst; Rechnung mit MwSt.; new item, still sealed; -Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should be not only accurate, but also comprehensible and interesting to the user. The total process is highly computation intensive. The idea of automatically discovering knowledge from databases is a very attractive and challenging task, both for academia and for industry. Hence, there has been a growing interest in data mining in several AI-related areas, including evolutionary algorithms (EAs). The main motivation for applying EAs to KDD tasks is that they are robust and adaptive search methods, which perform a global search in the space of candidate solutions (for instance, rules or another form of knowledge representation). 288 pp. Englisch.

N� de ref. del art�culo INF1100263090

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
Editor: Springer
Fecha de publicaci�n: 2004
Idioma: Ingl�s
ISBN 10: 3540223703
ISBN 13: 9783540223702
Encuadernaci�n: Gebundene Ausgabe
Estado: Neu

Acerca de

Sinopsis

Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should be not only accurate, but also comprehensible and interesting to the user. The total process is highly computation intensive. The idea of automatically discovering knowledge from databases is a very attractive and challenging task, both for academia and for industry. Hence, there has been a growing interest in data mining in several AI-related areas, including evolutionary algorithms (EAs). The main motivation for applying EAs to KDD tasks is that they are robust and adaptive search methods, which perform a global search in the space of candidate solutions (for instance, rules or another form of knowledge representation).

De la contraportada

This carefully edited book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different evolutionary computing tools to various facets of knowledge discovery from databases, ranging from theoretical analysis to real-life applications. "Evolutionary Computation in Data Mining" provides a balanced mixture of theory, algorithms and applications in a cohesive manner, and demonstrates how the different tools of evolutionary computation can be used for solving real-life problems in data mining and bioinformatics.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Wir f�hren Restauflagen und M�ngelexemplare zu stark verg�nstigten Preisen. Alle Artikel werden professionell verpackt. Zudem f�hren wir fast jedes lieferbare Neubuch und eine gro�e Auswahl an Nonbook-Artikeln (Spiele, DVDs, Software). Zum St�bern besuchen Sie doch unsere beiden Ladengesch�fte in Berlin Kreuzberg - bitte beachten Sie, dass Sie in unseren Ladengesch�ften nat�rlich nur einen kleine Auswahl unseres Onlineangebotes vorfinden: Buchhandlung Kisch & Co. (Sortimentsbuchhandlung) Oranienstra�e 25 10999 Berlin Mit dem �ffentlichen Nahverkehr zu uns: (Bus M 29/ Adalbertstra�e; U-Bahn U1/ Kottbusser Tor) Antiquariat Kisch & Co. Wiener Str. 17 10999 Berlin Mit dem �ffentlichen Nahverkehr zu uns: (Bus M 29/ Spreewaldplatz; U-Bahn U1/G�rlitzer Bahnhof)

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

Versandbuchhandlung Kisch & Co.
Germany

Condiciones de venta y env�o

Condiciones de venta

Allgemeine Gesch�ftsbedingungen

Allgemeines - Geltungsbereich

1.1. Die folgenden Allgemeinen Gesch�ftsbedingungen gelten f�r alle Gesch�ftsbeziehungen zwischen uns und unseren Kunden. Ma�geblich ist jeweils die zum Zeitpunkt des Vertragsschlusses g�ltige Fassung.

1.2. Verbraucher i. S. d. Gesch�ftsbedingungen sind nat�rliche Personen, mit denen wir in Gesch�ftsbeziehung treten, ohne da� diesen eine gewerbliche oder selbst�ndige berufliche T�tigkeit zugerechnet werden kann. Unternehmer i. S. d. G...

M�s informaci�n

Condiciones de env�o

Die Versandkostenpauschalen basieren auf Durchschnittswerten f�r 1 kg schwere B�cher. �ber abweichende Kosten (z.B. wegen eines sehr schweren Buches) werden Sie gegebenenfalls vom Verk�ufer informiert.