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What is Data Snooping

Chapter 575
Encyclopedia of Information Science and Technology, Fourth Edition
Denotes the use of statistical inference methods for detecting statistically significant patterns without prior theorizing and formulating hypotheses regarding their causal relationship.
Published in Chapter:
Applications of Artificial Neural Networks in Economics and Finance
Iva Mihaylova (University of St. Gallen, Switzerland)
Copyright: © 2018 |Pages: 11
DOI: 10.4018/978-1-5225-2255-3.ch575
Abstract
Artificial neural Networks (ANNs) are a powerful technique for multivariate dependence analysis. Originally inspired by neuroscience, ANNs are becoming an increasingly attractive analytic tool for applications in the area of economics and finance due to the flexible solutions they offer. The purpose of this article is to present such important applications with an emphasis on recent research trends. The contributions are grouped as follows: ANNs (1) for prediction, (2) for classification and (3) for modelling. The chapter concludes with the future trends in the ANNs research in economics and finance.
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Chapter 9
A Hardware Approach for Trusted Access and Usage Control
an attacker examines the (potentially encrypted) data, on disk, in the memory or on the communication links and deduces unauthorized information.
Published in Chapter: A Hardware Approach for Trusted Access and Usage Control; From: Handbook of Research on Secure Multimedia Distribution
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