Search Results for author: Claudio Di Ciccio

Found 6 papers, 2 papers with code

Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach

1 code implementation9 May 2023 Alessio Cecconi, Luca Barbaro, Claudio Di Ciccio, Arik Senderovich

In a mining context, these specifications are inferred from, and checked on, multi-sets of runs recorded by information systems (namely, event logs).

Computing unsatisfiable cores for LTLf specifications

no code implementations9 Mar 2022 Marco Roveri, Claudio Di Ciccio, Chiara Di Francescomarino, Chiara Ghidini

In this paper, we investigate the problem of extracting the unsatisfiable core in LTLf specifications.

Management

Conformance Checking of Mixed-paradigm Process Models

no code implementations23 Nov 2020 Boudewijn van Dongen, Johannes De Smedt, Claudio Di Ciccio, Jan Mendling

They are specifically interesting for process mining because they allow capturing complex behaviour in a compact way.

Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining

no code implementations21 Aug 2020 Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich

This paper presents a command-line tool, called Entropia, that implements a family of conformance checking measures for process mining founded on the notion of entropy from information theory.

Comprehensive Process Drift Detection with Visual Analytics

1 code implementation15 Jul 2019 Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling, Artem Polyvyanyy

The technique starts by clustering declarative process constraints discovered from recorded logs of executed business processes based on their similarity and then applies change point detection on the identified clusters to detect drifts.

Change Point Detection Clustering

QRFA: A Data-Driven Model of Information-Seeking Dialogues

no code implementations27 Dec 2018 Svitlana Vakulenko, Kate Revoredo, Claudio Di Ciccio, Maarten de Rijke

Understanding the structure of interaction processes helps us to improve information-seeking dialogue systems.

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