Cargando…

Recent advances in data mining of enterprise data : algorithms and applications /

The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as "enterprise data". The common characteristic of such datasets is that the analyst...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: International Workshop on Mining of Enterprise Data Como, Italy
Otros Autores: Liao, T. Warren (Thunshun Warren), 1957-, Triantaphyllou, Evangelos
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, NJ : World Scientific, ©2007.
Colección:Series on computers and operations research ; v. 6.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as "enterprise data". The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit. Data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making
Notas:" ... the International Workshop on Mining of Enterprise Data, held on June 23, 2004 at Como, Italy, as part of the Mathematics and Machine Learning (MML) Conference. This edited book is a product evolved from this workshop."--Page 785
Descripción Física:1 online resource (xxxii, 786 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9789812779861
9812779868
981277985X
9789812779854