Log Clustering Approach Selection

Attribute weights

Objectives

Overview:

Templates:

Outliers:

Sequences:

Broad:

Commercial:

Code:

Data & System

Unsupervised:

Character:

Token:

Signatures:

Online:

Adaptive:

Fast:

Parallel:

Deterministic:

Clustering techniques

Distance:

Density:

Neural net.:

Partitioning:

LCS:

Source code:

Genetic:

Freq. Items:

Statistical:

Graph-based:

Heuristics:

Evaluation

Quantitative:

Qualitative:

Runtime:

Benchmarks:

Real data:

Open data:

Approaches ranked by query similarity

Nandi et al. (2016) - 1.0
He et al. (2017a) - 0.973
He et al. (2017b) - 0.973
Vaarandi (2004) - 0.973
Carasso (2012) - 0.959
Salfner and Tschirpke (2008) - 0.935
Zou et al. (2016) - 0.935
Stearley (2004) - 0.924
Aharon et al. (2009) - 0.918
Chuah et al. (2010) - 0.908
Kimura et al. (2014) - 0.908
Gurumdimma et al. (2015) - 0.897
Li et al. (2018) - 0.897
Jia et al. (2017) - 0.891
Du and Cao (2015) - 0.87
Fu et al. (2009) - 0.87
Zhang et al. (2019) - 0.853
Du et al. (2016) - 0.826
Makanju et al. (2009a) - 0.755
Zulkernine et al. (2013) - 0.728
Jayathilake et al. (2017) - 0.707
Hamooni et al. (2016) - 0.701
Vaarandi (2003) - 0.701
Vaarandi and Pihelgas (2015) - 0.701
Gainaru et al. (2011) - 0.69
Li et al. (2017) - 0.69
Messaoudi et al. (2018) - 0.69
Qiu et al. (2010) - 0.69
Shima (2016) - 0.69
Taerat et al. (2011) - 0.69
Thaler et al. (2017) - 0.69
Sequence (2014) - 0.688
Ning et al. (2014) - 0.679
Zhao and Xiao (2016) - 0.679
Mizutani (2013) - 0.674
Tovarnak et al. (2019) - 0.674
Christensen and Li (2013) - 0.663
Agrawal et al. (2019) - 0.647
Du and Li (2016) - 0.647
Jiang et al. (2008) - 0.647
Joshi et al. (2014) - 0.647
Nagappan and Vouk (2010) - 0.647
Tang and Li (2010) - 0.647
Tang et al. (2011) - 0.647
Juvonen et al. (2015) - 0.639
Aussel et al. (2018) - 0.636
Jain et al. (2009) - 0.636
Menkovski and Petkovic (2017) - 0.636
Wurzenberger et al. (2019) - 0.636
Wurzenberger et al. (2017a) - 0.633
Wurzenberger et al. (2017b) - 0.633
Kobayashi et al. (2014) - 0.625
Xu et al. (2009) - 0.429
Lin et al. (2005) - 0.312
Wang et al. (2018) - 0.283
Schipper et al. (2019) - 0.147
Leichtnam et al. (2017) - 0.122
Ren et al. (2018) - 0.12
Reidemeister et al. (2011) - 0.103
Zhang et al. (2017) - 0.103
Li et al. (2005) - 0.092

PCA