Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Taxonomy of Anomalies in Log Data   Log data anomaly detection is a core component in the area of artificial
intelligence for IT operations. However, the large amount of existing methods
makes it hard to choose the right approach for a specific system. A better
understanding of different kinds of anomalies, and which algorithms are
suitable for detecting them, would support researchers and IT operators.
Although a common taxonomy for anomalies already exists, it has not yet been
applied specifically to log data, pointing out the characteristics and
peculiarities in this domain.
  In this paper, we present a taxonomy for different kinds of log data
anomalies and introduce a method for analyzing such anomalies in labeled
datasets. We applied our taxonomy to the three common benchmark datasets
Thunderbird, Spirit, and BGL, and trained five state-of-the-art unsupervised
anomaly detection algorithms to evaluate their performance in detecting
different kinds of anomalies. Our results show, that the most common anomaly
type is also the easiest to predict. Moreover, deep learning-based approaches
outperform data mining-based approaches in all anomaly types, but especially
when it comes to detecting contextual anomalies.

15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph