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Chapter and Conference Paper
Mining Frequent Instances on Workflows
A workflow is a partial or total automation of a business process, in which a collection of activities must be executed by humans or machines, according to certain procedural rules. This paper deals with an aspec...
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Chapter and Conference Paper
Reasoning on Workflow Executions
This paper presents a new formalism for modelling workflows schemes which combines a control flow graph representation with simple (i.e., stratified), yet powerful DATALOG rules to express complex properties and ...
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Chapter and Conference Paper
Mining Expressive Process Models by Clustering Workflow Traces
We propose a general framework for the process mining problem which encompasses the assumption of workflow schema with local constraints only, for it being applicable to more expressive specification languages...
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Chapter and Conference Paper
An Ontology-Driven Process Modeling Framework
Designing, analyzing and managing complex processes are recently become crucial issues in most application contexts, such as e-commerce, business process (re-)engineering, Web/grid computing. In this paper, we...
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Chapter and Conference Paper
An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects
The high-order co-clustering problem, i.e., the problem of simultaneously clustering several heterogeneous types of domains, is usually faced by minimizing a linear combination of some optimization functions eval...
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Chapter and Conference Paper
An Information-Theoretic Framework for Process Structure and Data Mining
Process-oriented systems have been increasingly attracting data mining community, due to the opportunities the application of inductive process mining techniques to log data can open to both the analysis of compl...
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Chapter and Conference Paper
Mining Constrained Graphs: The Case of Workflow Systems
Constrained graphs are directed graphs describing the control flow of processes models. In such graphs, nodes represent activities involved in the process, and edges the precedence relationship among such acti...
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Chapter and Conference Paper
Outlier Detection Techniques for Process Mining Applications
Classical outlier detection approaches may hardly fit process mining applications, since in these settings anomalies emerge not only as deviations from the sequence of events most often registered in the log, ...
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Chapter and Conference Paper
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes
Process Mining techniques exploit the information stored in the execution log of a process to extract some high-level process model, useful for analysis or design tasks. Most of these techniques focus on “stru...