DROPS

Document

Unleashing Operational Process Mining (Dagstuhl Seminar 13481)

Authors: Rafael Accorsi, Ernesto Damiani, and Wil van der Aalst

Published in: Dagstuhl Reports, Volume 3, Issue 11 (2014)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 13481 "Unleashing Operational Process Mining". Process mining is a young research discipline connecting computational intelligence and data mining on the one hand and process modeling and analysis on the other hand. The goal of process mining is to discover, monitor, diagnose and improve real processes by extracting knowledge from event logs readily available in today's information systems. Process mining bridges the gap between data mining and business process modeling and analysis. The seminar that took place November 2013 was the first in its kind. About 50 process mining experts joined forces to discuss the main process mining challenges and present cutting edge results. This report aims to describe the presentations, discussions, and findings.

Cite as

Rafael Accorsi, Ernesto Damiani, and Wil van der Aalst. Unleashing Operational Process Mining (Dagstuhl Seminar 13481). In Dagstuhl Reports, Volume 3, Issue 11, pp. 154-192, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

Copy BibTex To Clipboard

@Article{accorsi_et_al:DagRep.3.11.154,
  author =	{Accorsi, Rafael and Damiani, Ernesto and van der Aalst, Wil},
  title =	{{Unleashing Operational Process Mining (Dagstuhl Seminar 13481)}},
  pages =	{154--192},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{3},
  number =	{11},
  editor =	{Accorsi, Rafael and Damiani, Ernesto and van der Aalst, Wil},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.3.11.154},
  URN =		{urn:nbn:de:0030-drops-44417},
  doi =		{10.4230/DagRep.3.11.154},
  annote =	{Keywords: Process mining, Big data, Conformance checking}
}

Document

DOI: 10.4230/DagSemProc.10042.3

Multimodality in Pervasive Environment

Authors: Marco Anisetti, Valerio Bellandi, Paolo Ceravolo, and Ernesto Damiani

Published in: Dagstuhl Seminar Proceedings, Volume 10042, Semantic Challenges in Sensor Networks (2010)

Abstract

Future pervasive environments are expected to immerse users in a consistent world of probes, sensors and actuators. Multimodal interfaces combined with social computing interactions and high-performance networking can foster a new generation of pervasive environments. However, much work is still needed to harness the full potential of multimodal interaction. In this paper we discuss some short-term research goals, including advanced techniques for joining and correlating multiple data flows, each with its own approximations and uncertainty models. Also, we discuss some longer term objectives, like providing users with a mental model of their own multimodal "aura", enabling them to collaborate with the network infrastructure toward inter-modal correlation of multimodal inputs, much in the same way as the human brain extracts a single self-conscious experience from multiple sensorial data flows.

Cite as

Marco Anisetti, Valerio Bellandi, Paolo Ceravolo, and Ernesto Damiani. Multimodality in Pervasive Environment. In Semantic Challenges in Sensor Networks. Dagstuhl Seminar Proceedings, Volume 10042, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

Copy BibTex To Clipboard

@InProceedings{anisetti_et_al:DagSemProc.10042.3,
  author =	{Anisetti, Marco and Bellandi, Valerio and Ceravolo, Paolo and Damiani, Ernesto},
  title =	{{Multimodality in Pervasive Environment}},
  booktitle =	{Semantic Challenges in Sensor Networks},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10042},
  editor =	{Karl Aberer and Avigdor Gal and Manfred Hauswirth and Kai-Uwe Sattler and Amit P. Sheth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10042.3},
  URN =		{urn:nbn:de:0030-drops-25665},
  doi =		{10.4230/DagSemProc.10042.3},
  annote =	{Keywords: Pervasive Environment, Uncertainty}
}

Search Results

Documents authored by Damiani, Ernesto

Unleashing Operational Process Mining (Dagstuhl Seminar 13481)

Abstract

Cite as

Multimodality in Pervasive Environment

Abstract

Cite as

Thanks for your feedback!

Could not send message