Best Process Mining Dissertation Award 2014

The Best Process Mining Dissertation Award is awarded by the IEEE Task Force on Process Mining to an outstanding PhD thesis focused on the area of business process intelligence. The award is particularly dedicated to works contributing to research in the area of process mining and/or the innovative use of process mining techniques for solving practically relevant problems.

With this award, the IEEE Task Force on Process Mining wants to draw attention to excellent works by young researchers and promote the research area as a whole.

Winner 2014 - Andrea Burattin - Applicability of Process Mining Techniques in Business Environments

The winner of the 2014 Best Process Mining Dissertation Award is Andrea Burattin for his PhD thesis entitled Applicability of Process Mining Techniques in Business Environments.

The verdict of the Jury:

This thesis has the bold goal of democratising process mining. Specifically, it addresses the obstacles faced when trying to apply process mining techniques in business environments. Andrea identified three possible sources of problems: i) during the preparation of the data (incompatibility between required and available data) ; ii) during mining (adaptation of existing algorithms in order to take full advantage of the available information, configuration of the parameters of the mining algorithms) ; iii) during the interpretation of the mining results (complexity of the generated output). He also addressed the orthogonal issue of computation complexity for data management. In view of the identified problems, the thesis proposes solutions that can be placed in two application scenarios: the first scenario considers the classic paradigm of batch process mining, where a log is available “off-line” for mining; the second scenario introduces the novel paradigm of “online” process mining, where events are emitted by a stream with infinite capacity, thus requiring on-the-fly mining using bounded memory and time resources.

The thesis embraces the entire discovery process, from data preparation through to model inference and results presentation, offering one or more solutions to the problems identified in each of these phases, while investigating different viewpoints (e.g. control-flow vs resources, imperative vs declarative). Thus, the topic is treated extensively, both in width and depth. The specific contributions of this thesis are:

The contributions are clearly significant and innovative. Further, the thesis has high potential of generating impact both for academia and in practice. The techniques presented are both innovative and generalizable (notably, the framework for defining discovery algorithms from event streams), thus offering the research community many opportunities for further developments. Given the goal of the thesis, the impact for practice is immediate, especially for SMEs.

Despite the vast amount of techniques contributed, the technical depth of the thesis is consistently high throughout: there is a good mix of conceptualisation (e.g. architectural design), formalisation (definitions, theorems and proofs) and algorithms. All techniques have been implemented and evaluated both with synthetic and real-life data.

Runner Ups 2014

The Call for 2014 received two further excellent nominations.

Descriptions of both nominations will be available shortly.

Call for Nominations 2014

Below you find the call for nominations for the year 2014, which you can also download as .pdf.

The Best Process Mining Dissertation Award 2014 will be conferred by the IEEE Task Force on Process Mining to the winner during the meeting of the IEEE Task Force on Process Mining at the 12th Int. Conference on Business Process Management on 7 September in Haifa, Israel. As part of this event, the recipient will be invited to give a presentation on the main results of the thesis in a form suitable for the event and audience.

The selected thesis will also be recommended for publication as a monograph in the LNBIP series published by Springer. Further, the Dissertation Award will be accompanied by a monetary prize of 1,000 EUR.

Which theses can be nominated?

How to submit a nomination?

  1. A PhD thesis is nominated for the award by their supervisors. A nomination should consist of an electronic version of the thesis itself, accompanied by a brief letter (1 or 2 pages) from the supervisor describing why the thesis should be considered for the award.
  2. Nominations should highlight the quality and impact of the work. The nominator may include a pointer to research work influenced by the results of the nominated thesis, and citations to the thesis or derived works, where available.
  3. Submissions should be sent to the Award Organizers at the following email addresses: Dirk Fahland, Antonella Guzzo, Marcello La Rosa.

How is the best thesis selected?

Nominations are judged by an international committee of five experts, members of the IEEE Task Force on Process Mining, based on the following criteria:

Important Dates

Reviewing Committee

Organizers