Screen LibraryOutlier analysis
With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach thi...
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| Literature type: | Electronic eBook |
| Language: | English |
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| Online Access: |
http://dx.doi.org/10.1007/978-1-4614-6396-2 |
| Summary: |
With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach this field based on their practical experiences in managing large amounts of data, and with far fewer assumptions- the data can be of any type, structured or unstructured, and may be extremely large. Outlier Analysis is a comprehensive exposition, as understood by data mining experts, statisticians and computer scientists ... |
| Carrier Form: | 1 online resource (xv, 446 p.) : ill. (some col.) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781461463962 (electronic bk.) 1461463963 (electronic bk.) |
| Index Number: | QA276 |
| CLC: | O212 |
| Contents: |
An Introduction to Outlier Analysis -- Probabilistic and Statistical Models for Outlier Detection -- Linear Models for Outlier Detection -- Proximity-Based Outlier Detection -- High-Dimensional Outlier Detection: The Subspace Method -- Supervised Outlier Detection -- Outlier Detection in Categorical, Text and Mixed Attribute Data -- Time Series and Multidimensional Streaming Outlier Detection -- Outlier Detection in Discrete Sequences -- Spatial Outlier Detection -- Outlier Detection in Graphs and Networks -- Applications of Outlier Analysis. |