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The Minimum Description Length Principle for Pattern Mining: A Survey
28 July 2020
E. Galbrun
AI4TS
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Papers citing
"The Minimum Description Length Principle for Pattern Mining: A Survey"
12 / 12 papers shown
Title
Seqret: Mining Rule Sets from Event Sequences
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Joscha Cuppers
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Conditional Density Estimation with Histogram Trees
Lincen Yang
Matthijs van Leeuwen
77
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0
15 Oct 2024
Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability
Jiasheng Zhang
Jie Shao
Rex Ying
87
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0
01 Aug 2024
Probabilistic Truly Unordered Rule Sets
Lincen Yang
M. Leeuwen
126
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0
18 Jan 2024
Data is Moody: Discovering Data Modification Rules from Process Event Logs
Marco Bjarne Schuster
Boris Wiegand
Jilles Vreeken
63
0
0
22 Dec 2023
SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping
Hana Sebia
Thomas Guyet
Etienne Audureau
97
1
0
02 Oct 2023
KG-MDL: Mining Graph Patterns in Knowledge Graphs with the MDL Principle
Francesco Bariatti
Peggy Cellier
Sébastien Ferré
47
0
0
22 Sep 2023
MDL-based Compressing Sequential Rules
Xinhong Chen
Wensheng Gan
Shicheng Wan
T. Gu
37
1
0
20 Dec 2022
Role-based lateral movement detection with unsupervised learning
Brian A. Powell
AAML
84
13
0
05 Aug 2021
Robust subgroup discovery
Hugo Manuel Proença
Peter Grünwald
Thomas Bäck
M. Leeuwen
56
13
0
25 Mar 2021
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets
Tatiana P. Makhalova
S. Kuznetsov
A. Napoli
48
7
0
30 Nov 2020
Unsupervised Discretization by Two-dimensional MDL-based Histogram
Lincen Yang
M. Baratchi
Matthijs van Leeuwen
68
5
0
02 Jun 2020
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