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Data Mining and Management

Lawrence I Spendler
en Limba Engleză Hardback – 30 apr 2011
Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three years, data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Consequently, data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets. Data management comprises all the disciplines related to managing data as a valuable resource. This book gathers the latest research from around the globe in these fields and relative topics such as: cognitive finance, data mining of the Indian mineral industry, managing building information models, a new co-training method for data mining, and others.
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Specificații

ISBN-13: 9781607412892
ISBN-10: 1607412896
Pagini: 315
Ilustrații: tables, graphs, charts, illus.
Dimensiuni: 183 x 262 x 25 mm
Greutate: 0.89 kg
Ediția:New.
Editura: NOVA SCIENCE PUB INC

Cuprins

Preface; Cognitive Finance: Data Analysis with a Behavioural Edge; Data Mining Perspective of Indian Mineral Industry; Adding Time Dimension to XML; Statistical Learning Methods for Combining Technical Trading Rules and Predicting the Stock Markets; Model Selection Using Data Mining; Managing Building Information Models; Modelling the Auditors' Opinions by Using Association Rules; Spatio-Temporal Data Management for Environmental Modelling of Dust Dispersion over Opencast Coal Mining Areas; Challenges and Future Trends in Querying Semantic Web Data Streams; A New Co-Training Method for Data Mining; HESTIA: Historically-Enabled Spatio-Temporal Information Anonymity; Binomial P-spline Regression for Anomaly Detection in Cohort Mortality Patterns; Index.