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  1. No Access

    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...

    Gianluigi Greco, Antonella Guzzo in Advances in Knowledge Discovery and Data M… (2003)

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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 ...

    Gianluigi Greco, Antonella Guzzo in Advances in Databases and Information Syst… (2003)

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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...

    Gianluigi Greco, Antonella Guzzo in Advances in Knowledge Discovery and Data M… (2004)

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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...

    Gianluigi Greco, Antonella Guzzo in Database and Expert Systems Applications (2004)

  5. 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...

    Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo in Machine Learning: ECML 2006 (2006)

  6. No Access

    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...

    Antonio D. Chiaravalloti, Gianluigi Greco in Data Warehousing and Knowledge Discovery (2006)

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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...

    Gianluigi Greco, Antonella Guzzo in Constraint-Based Mining and Inductive Data… (2006)

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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, ...

    Lucantonio Ghionna, Gianluigi Greco, Antonella Guzzo in Foundations of Intelligent Systems (2008)

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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...

    Francesco Folino, Gianluigi Greco, Antonella Guzzo in Enterprise Information Systems (2009)