Anomaly Detection with the BigML Dashboard
9.3 Category
A category, taken from the dataset used to create it, is associated with each anomaly. Categories are useful to classify anomalies according to the domain which your data comes from. This is useful when you use BigML to solve problems across industries or multiple customers.
An anomaly category must be one of the 24 categories listed in Table 9.1 .
Category Aerospace and Defense Automotive, Engineering and Manufacturing Banking and Finance Chemical and Pharmaceutical Consumer and Retail Demographics and Surveys Energy, Oil and Gas Fraud and Crime Healthcare Higher Education and Scientific Research Human Resources and Psychology Insurance Law and Order Media, Marketing and Advertising Miscellaneous Physical, Earth and Life Sciences Professional Services Public Sector and Nonprofit Sports and Games Technology and Communications Transportation and Logistics Travel and Leisure Uncategorized Utilities