To conclude we summarize the rediscovery problem : “Find a mining algorithm able to rediscover a large class of sound WF-nets on the basis of complete workflow logs.” This problem

Given a set of Declare constraints extracted from an event log, a key step of the proposed technique is to generate a set of data-aware constraints, meaning constraints that

For example, in the case of a travel application, every artifact (emails, documents, webpage forms) involved may include the name(s) of the applicant(s), the destination(s), and

Step 1b: Process Mining Step 1a: Merge Event Logs Merged event log Process model 1 Process model 2 Process model n Step 1d: Process Model Merging Step 2: Process

The activity precondition learning approach suggested in this paper also allows to take into account (time-varying) case data properties for predicting the conditions under which a

The answer to RQ1 (Can Temporal Logic Query Checking improve the discovery of declarative process models from event logs?) is yes, improvement in speed was made respect to [13]

Besides that the resource and the data flow perspectives can be discovered as well: data Petri nets obtained using the data-aware process mining algorithm [27] can be used to

Based upon the concept of the structured workflow process model (Liu & Kumar, 2005), we propose a series of distributed workflow process mining approaches that play a theoretical

Before we discover the overlapping rules, we need to mine the process model in Petri Net using modified time-based heuristics miner algorithm [9].. After process model is

Most mining algorithms have an implicit notion of state, i.e., activities are glued together in some process modeling language based on an analysis of the log and the resulting

There are three basic types of process mining: (a) process discovery techniques automatically learn models from event logs, (b) conformance checking techniques diagnose

In this paper, we will focus on four types of metrics that can be derived from event logs: (1) metrics based on (possible) causality, (2) metrics based on joint cases, (3) metrics

Event logs of students’ group works have been analyzed using process mining techniques. 4) Hierarchical: an investigation of top-level models discovered from the

During the validation procedure, we add the shortcut transitions, loop structure, and fork/join states into the workflow model to make sure that all event traces

subject of a standard internal audit before we applied process mining to data drawn from the same time period covered by the audit. This provides our benchmark for the value added by

Cross-Organizational Process Mining : the application of process mining techniques to event logs originating from different organizations. Data Mining : the analysis of (often

H4.2 The three-way interaction effects of services recovery actions (compensations, empowerment, apology and response speed) on: a) repurchase intent; b) expectation update;

In this paper, a cloud theory-based simulated annealing is presented in which a casual matrix and a new function are used to display and evaluate the answer.. In this paper,