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Found 6 papers, 1 papers with code
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark
Predictive monitoring of business processes is concerned with the prediction of ongoing cases on a business process.
A Conformance Checking-based Approach for Drift Detection in Business Processes
These changes over time are called concept drift and its detection is a big challenge in process mining since the inherent complexity of the data makes difficult distinguishing between a change and an anomalous execution.
The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations
The main contribution of this paper is the proof of a convergence result that links this quantification model with the Zadeh's model when the size of the input sets tends to infinite.
Fuzzy quantification for linguistic data analysis and data mining
Fuzzy quantification is a subtopic of fuzzy logic which deals with the modelling of the quantified expressions we can find in natural language.
Characterizing Quantifier Fuzzification Mechanisms: a behavioral guide for practical applications
In this work we will present several criteria conceived to help in the process of selecting the most adequate Quantifier Fuzzification Mechanisms for specific practical applications.
A Fuzzy Syllogistic Reasoning Schema for Generalized Quantifiers
In this paper, a new approximate syllogistic reasoning schema is described that expands some of the approaches expounded in the literature into two ways: (i) a number of different types of quantifiers (logical, absolute, proportional, comparative and exception) taken from Theory of Generalized Quantifiers and similarity quantifiers, taken from statistics, are considered and (ii) any number of premises can be taken into account within the reasoning process.
