Titlebook: Information-Statistical Data Mining; Warehouse Integratio Bon K. Sy,Arjun K. Gupta Book 2004 Springer Science+Business Media New York 2004

苦涩

Information and Statistics Linkage,ertain optimal property that will be discussed in the later chapters. A new information criterion CGIC — Chen-Gupta Information Criterion [Chen, Jiahua 1998, 2003] has also been given which again emphasizes the relationship between information and statistics.

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受伤

Change Point Detection Techniques,selection plays an important role in data mining, and is a difficult problem because it is irregular. A new methodology was developed [Chen 2000] for solving the difficult problem of change point analysis.

Afflict

外科医生

Pattern Ordering Inference: Part I,is a compact representation of a probability structure for pattern ordering. This structure is the basis of an inference mechanism for deriving pattern ordering. Since each pattern has a probability measure defined by the model, each pattern can be ranked against each other upon the presence or absence of any observation(s).

使显得不重要

Pattern Ordering Inference: Part II,observable variables, is a special case of general event pattern. The goal of ordering general event patterns is the same as previous; namely, discovering few most probable general event patterns. An efficient method, RLCM, was discussed in chapter 11 for ordering complete event-coverage patterns.

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制度

Book 2004: Warehouse Integration with Examples of Oracle Basics. is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

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0893-3405 ata Mining: Warehouse Integration with Examples of Oracle Basics. is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.978-1-4613-4755-2978-1-4419-9001-3Series ISSN 0893-3405