<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class="" style="text-align: center;"><b class="">Call for Papers </b></div><div class="" style="text-align: center;">1st IFIP/IEEE International Workshop on Cognitive Network and Service Management</div><div class="" style="text-align: center;"><b class="">>>> CogMan 2015 <<< </b></div><div class="" style="text-align: center;">co-located with the 14th IFIP/IEEE Symposium on Integrated Network </div><div class="" style="text-align: center;">and Service Management (<b class="">IM 2015</b>) </div><div class=""><br class=""></div><div class="" style="text-align: center;">Ottawa, Canada, May 11-15 2015 </div><div class="" style="text-align: center;"><br class=""></div><div class="" style="text-align: center;"><a href="http://www.cogman.org" class="">http://www.cogman.org</a> </div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><b class="">** Aim and Scope **</b></div><div class=""><br class=""></div><div class="">The First IFIP/IEEE International Workshop on Cognitive Network and Service Management will be held in conjunction with IFIP/IEEE IM 2015 in Ottawa, Canada, from May 11-15, 2015. The workshop is endorsed by the IEEE Communications Society's Technical Committee on Network Operations and Management (CNOM). The scope of the CogMan workshop is to bring together experts in network and service management, on the one hand, with scientist in cognitive control and artificial intelligence, on the other hand. CogMan is a follow up of the DamNet Workshop on Data Mining in Networks, which has been run for four years at IEEE ICDM (the IEEE flagship conference on Data Mining). However, while DamNet aimed at bringing the broader network science (beyond computer networks) into the data mining community, CogMan aims at bringing experts in computational intelligence into the particular area of Integrated Networks and Services. </div><div class=""><br class=""></div><div class="">Modern communication networks have reached a level of scale, dynamics and complexity that demands for a dynamic management that is able to (i) adapt to unforeseen scenarios and (ii) proactively undertake management decisions when certain trends can be witnessed. Cognitive approaches such as artificial intelligence and machine learning are an ideal candidate for reaching this dynamic management. However, at the same time they feature important challenges as there is a need for large-scale and scalable cognitive technologies, the integration within multi-agent settings and guaranteeing convergence to (sub-)optimal goals. The workshop focus will encompass cognitive algorithms (e.g., artificial intelligence, machine learning) and their application to network and service management problems. </div><div class=""><br class=""></div><div class="">CogMan 2015 aims at providing an international forum for researchers addressing these challenges. It intends to facilitate the exchange of ideas between different research communities which share a common interest optimizing networks and services through cognition. </div><div class=""><br class=""></div><div class=""><b class="">** Topics of Interest **</b></div><div class=""><br class=""></div><div class="">Authors are invited to submit papers that fall into or are related to the topic areas listed below:</div><div class=""><br class=""></div><div class=""><i class="">Data mining</i></div><div class="">- Parallel and Distributed Data Mining algorithms</div><div class="">- Extreme-scale Data Mining</div><div class="">- Graph Mining</div><div class="">- Analysis, modeling & visualization</div><div class="">- Big data analytics</div><div class=""><br class=""></div><div class=""><i class="">Learning styles</i></div><div class="">- Supervised learning</div><div class="">- Unsupervised learning</div><div class="">- Semi-supervised learning</div><div class="">- Reinforcement learning</div><div class=""><br class=""></div><div class=""><i class="">Cognitive algorithms</i></div><div class="">- Regression</div><div class="">- Instance-based methods</div><div class="">- Regularization methods</div><div class="">- Decision-Tree learning</div><div class="">- Bayesian methods</div><div class="">- Kernel methods</div><div class="">- Clustering</div><div class="">- Association rule learning</div><div class="">- Artificial neural networks</div><div class="">- Deep learning</div><div class="">- Dimensionality reduction</div><div class="">- Ensemble methods</div><div class=""><br class=""></div><div class=""><i class="">Multi-agent decision-making</i></div><div class="">- Transfer learning</div><div class="">- Reward shaping</div><div class="">- Convergence in multi-agent systems</div><div class="">- Competition in multi-agent systems</div><div class="">- Game theoretic approaches</div><div class="">- Hierarchical approaches</div><div class=""><br class=""></div><div class=""><i class="">Cognitive management challenges</i></div><div class="">- Achieving convergence</div><div class="">- Dealing with competition</div><div class="">- Integration within existing network management approaches</div><div class="">- Dealing with uncertainty</div><div class=""><br class=""></div><div class=""><i class="">Network management paradigms</i></div><div class="">- Autonomous and Autonomic Networks</div><div class="">- Bio-inspired Networks</div><div class="">- Self-* management</div><div class="">- Cognitive defined networks</div><div class="">- Cognitive virtualization techniques</div><div class="">- Application domains</div><div class="">- Traffic analysis</div><div class="">- Security management</div><div class="">- Resource management</div><div class="">- Fault management</div><div class=""><br class=""></div><div class=""><b class="">** Submission Instructions **</b></div><div class=""><br class=""></div><div class="">Paper submissions must present original research or experiences. Late-breaking advances and work-in-progress reports from ongoing research are also encouraged. Only original papers that have not been published or submitted for publication elsewhere can be submitted. Each submission must be written in English, accompanied by a 75 to 200 word abstract and a list of up to 5 keywords. There is a length limitation of 6 pages (including title, abstract, figures, tables, and references) for workshop papers. Submissions must be in IEEE 2-column style. Papers exceeding these limits, multiple submissions, and self-plagiarized papers will be rejected without further review. </div><div class=""><br class=""></div><div class="">Authors should submit their papers in PDF, postscript, or Word formats via JEMS (<a href="https://submissoes.sbc.org.br/home.cgi?c=2177" class="">https://submissoes.sbc.org.br/home.cgi?c=2177</a>)</div><div class=""><br class=""></div><div class="">PLEASE NOTE: To be published in the IFIP/IEEE IM 2015 Proceedings and to be eligible for publication in IEEE XploreR, an author of an accepted paper is required to register for the workshop at the full (member or non-member) rate and the paper must be presented by an author of that paper at the conference [or workshop] unless the TPC Chair grants permission for a substitute presenter arranged in advance of the event and who is qualified both to present and answer questions. Non-refundable registration fees must be paid prior to uploading the final IEEE formatted, publication-ready version of the paper. For authors with multiple accepted papers, one full registration is valid for up to 3 papers. Accepted and presented papers will</div><div class="">be published in the IFIP/IEEE IM 2015 Proceedings and submitted to IEEE Xplore.</div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><b class="">** Important Dates **</b></div><div class="">- Paper submission: December 15, 2014</div><div class="">- Notification of acceptance: January 30, 2015</div><div class="">- Final version of papers due: February 15, 2015</div><div class="">- Workshop date: May 11-15, 2015</div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><b class="">** Workshop Co-Chairs **</b></div><div class="">- Antonio Liotta, Technical University Eindhoven, The Netherlands</div><div class="">- Steven Latré, University of Antwerp – iMinds, Belgium</div><div class="">- Giuseppe Di Fatta, University of Reading, United Kingdom</div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><b class="">** Contact **</b></div><div class="">Contact the workshop chairs at <a href="mailto:info@cogman.org" class="">info@cogman.org</a> for more information.</div></body></html>