Event mining for explanatory modeling
"This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used as the basis for predictions and corrective actions. The idea is to create, via an iterative process, a model that explains causal relationships in the fo...
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Main Authors | , |
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Format | Electronic eBook |
Language | English |
Published |
[New York, New York?] :
Association for Computing Machinery,
[2021]
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Edition | First edition. |
Series | ACM books ;
#35. |
Subjects | |
Online Access | Plný text |
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Summary: | "This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used as the basis for predictions and corrective actions. The idea is to create, via an iterative process, a model that explains causal relationships in the form of structural and temporal patterns in the data. The first phase is the data-driven process of hypothesis formation, requiring the analysis of large amounts of data to find strong candidate hypotheses. The second phase is hypothesis testing, wherein a domain expert's knowledge and judgment is used to test and modify the candidate hypotheses."--Publisher's description. |
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Physical Description: | 1 online zdroj (xv, 146 stran) : ilustrace |
Bibliography: | Obsahuje bibliografické odkazy a index. |
ISBN: | 9781450384858 9781450384834 9781450384827 |
Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |