bookJan 11, 2013Closed access

Outlier Analysis

Abstract

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 Analysisis a comprehensive exposition, as understood by data mining experts, statisticians and computer scientists. The book has been organized carefully, and emphasis was placed on simplifying the content, so that…

Citation impact

837
total citations
FWCI
27.74
Percentile
100%
References
0
Citations per year

Authors

1

Topics & keywords

Keywords
  • Computer science
  • Categorical variable
  • Data science
  • Field (mathematics)
  • Anomaly detection
  • Outlier
  • Data mining
  • Subspace topology
No related works found for this paper.