Mining Users' Intents from Logs

Ghazaleh Khodabandelou 1 Charlotte Hug 1 Camille Salinesi 1
1 CRI - Centre de Recherche en Informatique de Paris 1
Abstract : Intentions play a key role in information systems engineering. Research on process modeling has highlighted that specifying intentions can expressly mitigate many problems encountered in process modeling as lack of flexibility or adaptation. Process mining approaches mine processes in terms of tasks and branching. To identify and formalize intentions from event logs, this work presents a novel approach of process mining, called Map Miner Method (MMM). This method automates the construction of intentional process models from event logs. First, MMM estimates users' strategies (i.e., the different ways to fulfill the intentions) in terms of their activities. These estimated strategies are then used to infer users' intentions at different levels of abstraction using two tailored algorithms. MMM constructs intentional process models with respect to the Map metamodel formalism. MMM is applied on a real-world dataset, i.e. event logs of developers of Eclipse UDC (Usage Data Collector). The resulting Map process model provides a precious understanding of the processes followed by the developers, and also provide feedback on the effectiveness and demonstrate scalability of MMM.
Document type :
Journal articles
Complete list of metadatas

Cited literature [65 references]  Display  Hide  Download
https://hal-paris1.archives-ouvertes.fr/hal-01140171
Contributor : Charlotte Hug <>
Submitted on : Tuesday, April 7, 2015 - 11:23:22 PM
Last modification on : Friday, April 10, 2015 - 1:07:49 AM
Long-term archiving on : Wednesday, July 8, 2015 - 10:41:12 AM

File

IJISMD-2015.pdf
Files produced by the author(s)

Identifiers

Collections

UNIV-PARIS1 | CRI

Citation

Ghazaleh Khodabandelou, Charlotte Hug, Camille Salinesi. Mining Users' Intents from Logs. International Journal of Information System Modeling and Design, IGI Global, 2015, Special Issue from the 8th IEEE International Conference on Research Challenges in Information Science (RCIS): 2014, Marrakesh, Morocco, 6 (2), pp.43-71. ⟨10.4018/IJISMD.2015040102⟩. ⟨hal-01140171⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

368

Files downloads

497

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD