Aiops solutions for incident management: Technical guidelines and a comprehensive literature review
The management of modern IT systems poses unique challenges, necessitating scalability,
reliability, and efficiency in handling extensive data streams. Traditional methods, reliant on …
reliability, and efficiency in handling extensive data streams. Traditional methods, reliant on …
Formal concept analysis: from knowledge discovery to knowledge processing
In this chapter, we introduce Formal Concept Analysis (FCA) and some of its extensions.
FCA is a formalism based on lattice theory aimed at data analysis and knowledge …
FCA is a formalism based on lattice theory aimed at data analysis and knowledge …
Revisiting numerical pattern mining with formal concept analysis
In this paper, we investigate the problem of mining numerical data in the framework of
Formal Concept Analysis. The usual way is to use a scaling procedure--transforming …
Formal Concept Analysis. The usual way is to use a scaling procedure--transforming …
For real: a thorough look at numeric attributes in subgroup discovery
M Meeng, A Knobbe - Data Mining and Knowledge Discovery, 2021 - Springer
Subgroup discovery (SD) is an exploratory pattern mining paradigm that comes into its own
when dealing with large real-world data, which typically involves many attributes, of a …
when dealing with large real-world data, which typically involves many attributes, of a …
Anytime discovery of a diverse set of patterns with monte carlo tree search
The discovery of patterns that accurately discriminate one class label from another remains
a challenging data mining task. Subgroup discovery (SD) is one of the frameworks that …
a challenging data mining task. Subgroup discovery (SD) is one of the frameworks that …
[HTML][HTML] Lattices, closures systems and implication bases: A survey of structural aspects and algorithms
Abstract Concept lattices and closed set lattices are graphs with the lattice property. They
have been increasingly used this last decade in various domains of computer science, such …
have been increasingly used this last decade in various domains of computer science, such …
Patterns of rural collective action in contemporary China: An archetype analysis of rural construction land consolidation
R Wang, R Tan - Journal of Rural Studies, 2020 - Elsevier
The objective of this study is to identify and explain the underlying patterns for rural
collective action based on the practices of rural construction land consolidation (RCLC) in …
collective action based on the practices of rural construction land consolidation (RCLC) in …
Characterizing functional dependencies in formal concept analysis with pattern structures
Computing functional dependencies from a relation is an important database topic, with
many applications in database management, reverse engineering and query optimization …
many applications in database management, reverse engineering and query optimization …
Fitting pattern structures to knowledge discovery in big data
SO Kuznetsov - International conference on formal concept analysis, 2013 - Springer
Pattern structures, an extension of FCA to data with complex descriptions, propose an
alternative to conceptual scaling (binarization) by giving direct way to knowledge discovery …
alternative to conceptual scaling (binarization) by giving direct way to knowledge discovery …
Fssd-a fast and efficient algorithm for subgroup set discovery
Subgroup discovery (SD) is the task of discovering interpretable patterns in the data that
stand out wrt some property of interest. Discovering patterns that accurately discriminate a …
stand out wrt some property of interest. Discovering patterns that accurately discriminate a …