Claudio Di Ciccio
115 papers 1.3K citations h-index 11 2011–2026
A TEE-based Approach for Preserving Data Secrecy in Process Mining with Decentralized Sources
Process mining techniques enable organizations to gain insights into their business processes through the analysis of execution records (event logs) stored by information systems. While most...
MARTSIA: A Tool for Confidential Data Exchange via Public Blockchain
Blockchain technology streamlines multi-party collaborations in decentralized settings, especially when trust is limited or difficult to establish. While public blockchains enhance transparency...
MARTSIA: Enabling Data Confidentiality for Blockchain-based Process Execution
Multi-party business processes rely on the collaboration of various players in a decentralized setting. Blockchain technology can facilitate the automation of these processes, even in cases where...
Event-Case Correlation for Process Mining using Probabilistic Optimization
Process mining supports the analysis of the actual behavior and performance of business processes using event logs. % such as, e.g., sales transactions recorded by an ERP system. An essential...
Transforming Credit Guarantee Schemes with Distributed Ledger Technology
Credit Guarantee Schemes (CGSs) are crucial in mitigating SMEs' financial constraints. However, they are renownedly affected by critical shortcomings, such as a lack of financial sustainability...
Trusted Execution Environment for Decentralized Process Mining
Inter-organizational business processes involve multiple independent organizations collaborating to achieve mutual interests. Process mining techniques have the potential to allow these...
Fine-grained Data Access Control for Collaborative Process Execution on Blockchain
Multi-party business processes are based on the cooperation of different actors in a distributed setting. Blockchains can provide support for the automation of such processes, even in conditions...
From Sound Workflow Nets to LTLf Declarative Specifications by Casting Three Spells
In process management, effective behavior modeling is essential for understanding execution dynamics and identifying potential issues. Two complementary paradigms have emerged in the pursuit of...
Foundational Oracle Patterns: Connecting Blockchain to the Off-chain World
Blockchain has evolved into a platform for decentralized applications, with beneficial properties like high integrity, transparency, and resilience against censorship and tampering. However,...
Blockchain based Resource Governance for Decentralized Web Environments
Decentralization initiatives such as Solid and ActivityPub aim to give data owners more control over their data and to level the playing field by enabling small companies and individuals to gain...
Balancing Confidentiality and Transparency for Blockchain-based Process-Aware Information Systems
Blockchain enables novel, trustworthy Process-Aware Information Systems (PAISs) by enforcing the security, robustness, and traceability of operations. In particular, transparency ensures that all...
Visual Drift Detection for Sequence Data Analysis of Business Processes
Event sequence data is increasingly available in various application domains, such as business process management, software engineering, or medical pathways. Processes in these domains are...
Computing unsatisfiable cores for LTLf specifications
Linear-time temporal logic on finite traces (LTLf) is rapidly becoming a de-facto standard to produce specifications in many application domains (e.g., planning, business process management,...
Conformance Checking of Mixed-paradigm Process Models
Mixed-paradigm process models integrate strengths of procedural and declarative representations like Petri nets and Declare. They are specifically interesting for process mining because they allow...
Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach
Declarative process specifications define the behavior of processes by means of rules based on Linear Temporal Logic on Finite Traces (LTLf). In a mining context, these specifications are inferred...
Blockchains for Business Process Management - Challenges and Opportunities
Blockchain technology promises a sizable potential for executing inter-organizational business processes without requiring a central party serving as a single point of trust (and failure). This...
Comprehensive Process Drift Detection with Visual Analytics
Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processes over time. This stream of research, however, has not yet...
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
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. The...