DbWorld

From: “Mykola Pechenizkiy” <m.pechenizkiy at tue.nl>

—————————————————————–
CALL FOR PAPERS
—————————————————————–
KDPM’09: Knowledge Discovery Meets Process Mining Workshop
http://wwwis.win.tue.nl/kdpm09/
at ECML/PKDD 2009
Bled, Slovenia, September 7 - 11, 2009
—————————————————————–

Within the Business Process Intelligence community, there is a
large and lively sub-community, the process mining one. Process
mining targets the discovery of information based on event
logs. For instance, the automatic discovery of process models
from event logs. Examples of event logs include process data
generated by administrative services, health care data about
patient handling, and logs of workflow tools. Many machine
learning and data mining techniques have successfully been
applied in this field. Nevertheless, the process mining
community and the mainstream data mining community have
remained relatively disconnected. Only few papers on process
mining appeared in data mining or machine learning conferences,
even though many of the research issues fit equally well in
both communities.

With this workshop we want to strengthen the ties between the
two research communities. ECML/PKDD is an excellent venue for
this: both the machine learning and data mining community are
present, and process mining matches well with the variety of
topics covered in these conferences. On the one hand, process
mining is a challenging research area that has the potential of
becoming as important as more traditional themes, such as graph
or sequence mining. On the other hand, process mining can
benefit from the input of related fields in data mining and
machine learning. The most obvious candidates from DM and ML
side for cross-fertilization are those fields involved with
finding patterns that are temporal or sequential in nature,
such as temporal data mining, sequence and episode mining,
web-log mining. Also the mining of structured patterns such as
graphs and partial orders are clearly related. Some examples of
typical problems in the process mining field where data mining
or machine learning techniques can make the difference are in
the handling of noisy data, scalability, and the discovery of
less structured and hierarchical models.

—————————————————————–
TOPICS OF INTEREST
—————————————————————–
Contributions are sought in all areas related to the discovery
of structure and regularities in event/process driven data. A
non-exhaustive list of topics: - The discovery of structured
process models such as Petri-nets from event data; - Modelling
techniques for describing the structure of event data such as
Markov Models; - Scalable and robust process mining algorithms
and techniques; - Process mining evaluation: metrics,
approaches and frameworks; - Integration of domain knowledge in
process mining; - Adaptation of web mining, text mining,
temporal data mining approaches for process mining needs; -
Lessons learnt from (un)successful process mining case studies.
- Please note that we do not want to focus the workshop solely
on the discovery of process models, but are open to all
research related to finding regularities and patterns in
process oriented data.

—————————————————————–
PAPER SUBMISSION AND PUBLICATION
—————————————————————–
Authors are invited to submit original and unpublished
manuscripts (LNCS, 12 pages maximum) to kdpm09@gmail.com by
June 10. Submitted papers will undergo a peer-reviewing
process. Final versions of accepted papers will appear in the
informal ECML/PKDD workshop proceedings. Submission implies the
willingness of at least one of the authors to register and
present the paper. We also intend to organize a post-workshop
publication in the form of LNCS proceeding or a special issue
in a journal.

—————————————————————–
IMPORTANT DATES
—————————————————————–
June 10th, 2009 Paper submission deadline (12 LNCS pages max)
June 30th, 2009 Notification of acceptance
August 1st, 2009 Final camera-ready paper due
September 11, 2009 KDPM’09 Workshop day

Worshop Chairs:
Toon Calders, Mykola Pechenizkiy, Boudewijn van Dongen
Eindhoven University of Technology, the Netherlands

Programme Committee:
see KDMP’09 website http://wwwis.win.tue.nl/kdpm09/

For further questions please contact us at kdpm09@gmail.com
_______________________________________________
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From: “Eamonn Keogh ” <eamonn at cs.ucr.edu>

Dear Colleagues. I am giving a tutorial at SIGKDD this year on “How to do good research, get it published in SIGKDD and get it cited!”

The idea is to help young faculty/grad students improve their chances of publishing in SIGKDD and other top data mining venues (I am especially trying to help those individuals that are not from the traditional powerhouse universities). So often in the last ten years as a reviewer/area chair I have seen a paper rejected, but thought to myself, if only they had said X, and compared to Y, I bet the paper would have got in.

I have already solicited advice from this years SIGKDD reviewers, but I want to open up a more general call to anyone in the data mining/database and related communities, to contribute advice.

The advice could be expressed negatively:

1) “I hate it when authors compare to a strawman that…”
2) “I note that a paper will almost always be rejected if they claim…”

Or positively:

1) “I think the real hallmark of a quality paper is when …”
2) “I love it when, to show the scalability of an algorithm, the authors..”

I hope you will take this opportunity to pass on your hard earned pearls on wisdom to the next generation of data miners. Any advice given will be credited. You may glance at a 20% finished rough draft of the tutorial if you are interested in the content and style of the presentation [a]. In [b] I have pasted the abstract for the tutorial.

Please email me any advice you want to share, at eamonn@cs.ucr.edu

Best wishes, eamonn

[a] http://www.cs.ucr.edu/~eamonn/public/HowtodoReseach.pdf

[b] HOW TO DO GOOD RESEARCH, GET IT PUBLISHED IN SIGKDD AND GET IT CITED!

While SIGKDD has traditionally enjoyed an unusually high quality of reviewing, there is no doubt that publishing in SIGKDD (and other high quality data mining conferences) is very challenging. This is especially true for young faculty, grad students whose primary advisor is not an experienced SIGKDD author, or people from outside the community (i.e. a biologist or mathematician who has a result that might greatly interest the data mining community).
In this tutorial Dr. Keogh will demonstrate some simple ideas to enhance the probability of success in getting your paper published in a top data mining conference; and after the work is published, getting it highly cited.
These tips and tricks are based on 12 years experience as a SIGKDD author and reviewer, and wisdom solicited from many of the most prolific data mining researchers/reviewers.
Topics covered in the tutorial include:

• Finding the right problems to work on (80% of the battle).
• Don’t summarize, sell! Writing abstracts that put the reviewer on your side from the start.
• Getting or creating the perfect dataset.
• Experiments that tell a story.
• Making effective and interesting figures.
• Getting the reviewers on your side.
• The top-ten avoidable reasons why papers get rejected from SIGKDD.
• Three simple tricks to increase the number of citations to your work.

While Dr. Keogh does not claim to have a “magic bullet” for publishing in SIGKDD, his significant track record of publishing in top data mining venues (including 16 times at SIGKDD), combined with extensive (and deliberately uncredited) experience in helping younger researchers “break-in” to SIGKDD have placed him in a unique position to share useful and actionable advice.
While writing this tutorial Dr. Keogh, sought and received advice from many respected data mining researchers, their advice is incorporated into this tutorial. Their advice is framed both positively as researchers (“A good idea is the get data that shows…”) and negatively as reviewers (“I hate it when authors don’t list the…”).
Presenter Bio: Dr. Keogh is a prolific author in data mining conferences, as of April 2009, he is one of only three people to have at least ten papers in each of the top three data mining conferences, ACM SIGKDD, IEEE ICDM and SIAM SDM (The other two are Philip Yu and Jiawei Han). While he is only 8 years out from his PhD he has already obtained an H-index of 34. He has given well-received tutorials at SIGKDD (twice), ICDM (twice), VLDB, SDM, ACM Multimedia and CIKM.
_______________________________________________
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From: “Frank Duerr” <frank.duerr at ipvs.uni-stuttgart.de>

************************************************************************
CALL FOR PARTICIPATION
Early Registration Deadline: May 29, 2009
************************************************************************
First International Workshop on Quality of Context (QuaCon ‘09)
http://www.quacon09.nexus.uni-stuttgart.de/

25 - 26 June, 2009
Stuttgart, Germany
************************************************************************

We are pleased to invite you to participate in the First International
Workshop on Quality of Context (QuaCon 2009) in Stuttgart, Germany, on
25-26 June, 2009.

Besides 11 research papers and a demo session, the workshop features 5
keynotes by the following distinguished speakers:

Reynold Cheng (University of Hong Kong)
Johann-Christoph Freytag (Humboldt-Universität zu Berlin)
Chris Gold (University of Glamorgan)
Michael Frank Goodchild (University of California, Santa Barbara)
Max Mühlhäuser (Technische Universität Darmstadt)

An overview of the technical program is available on the QuaCon website:

http://www.quacon09.nexus.uni-stuttgart.de/technicalprogram.html

Early registration deadline is May 29, 2009.

Scope
—–

Advances in sensor technology, wireless communication, and mobile
devices lead to the proliferation of sensors in our physical
environment. At the same time detailed digital models of buildings,
towns, or even the globe become widely available. Integrating the
huge amount of available sensor data into spatial models results in
highly dynamic models of the real world, often called context models.

A wide range of applications can substantially benefit from common
context models. However, context data is inherently associated with
uncertainty, which has to be taken into account by both context
management systems and applications. Appropriate ontologies, models,
and metrics are needed to specify the quality of context data,
including aspects of degradation, consistency, and trust. Those
concepts are needed on different levels of abstraction, including the
raw sensor data, observable context, as well as the high-level context
derived from other context information by means of reasoning
techniques. In addition, methods and calculi are required to assess
the quality of context data on various levels.

For an integrated context-management approach a framework is needed
that defines the appropriate abstraction levels and that provides
quality mappings between these layers. Other important issues are
application-specific quality concepts and methods to handle uncertain
context data. If context data is to be presented to human users,
appropriate visualizing techniques are required to present the data
together with its quality assessments. On the other hand, if
applications specify what level of degradation they accept, this
information can be used to optimize context management by means of
suitable relaxation techniques.

Research in context management and in particular context quality
requires an interdisciplinary approach. Therefore, the QuaCon Workshop
aims to bring together researchers from various fields to discuss
approaches to context quality and to make a consolidated contribution
towards an integrated way of treating context quality.

Registration:
————-

Early registration deadline is May 29, 2009. Please visit the QuaCon
website for details:

http://www.quacon09.nexus.uni-stuttgart.de/

We are looking forward to seeing you in Stuttgart!
Dieter Fritsch
Kurt Rothermel
(Chairs of QuaCon ‘09)
_______________________________________________
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From: “Laurence T. Yang ” <lyang at stfx.ca>

Paper Submission: April 30, 2009

Special issues at

IEEE Transactions on Industrial Informatics (pending)
Journal of Embedded Computing (JEC)
International Journal of Embedded Systems (IJES)
Journal of Pervasive Computing and Communications (JPCC)

*************** EUC-09 Call for Papers ******************************************

The 7th IEEE/IFIP International Conference on
Embedded and Ubiquitous Computing (EUC-09)

http://cse.stfx.ca/~euc09/
Sponsored by IEEE and IFIP
Vancouver, Canada, August 29-31, 2009
*********************************************************************************

INTRODUCTION
============

Embedded and ubiquitous computing is an exciting paradigm that promises to provide computing
and communication services to the end users all the time and everywhere.
The emergence of this technology is a natural outcome of research and technological advances
in a variety of areas including embedded systems, pervasive computing and communications,
wireless networks, mobile computing, distributed computing and agent technologies.

EUC-09 is the next event, in a series of highly successful International Conferences on Embedded
and Ubiquitous Computing (EUC), previously held as ICDCS-ECS04 (Tokyo, Japan, March 2004),
EUC-04 (Aizu, Japan, August 2004), EUC-05 (Nagasaki, Japan, December 2005), EUC-06 (Seoul ,Korea,
August 2006), EUC-07 (Taipei, Taiwan, December 2007) and EUC-08 (Shanghai, China,
December 2008).

TOPICS
======

The EUC-09 conference provides a forum for engineers and scientists in academia, industry,
and government to address all resulting profound challenges including technical, safety,
social, legal, political, and economic issues, and to present and discuss their ideas,
results, work in progress and experience on all aspects of embedded and ubiquitous computing.

Topics of particular interest include, but are not limited to:

EMBEDDED COMPUTING:
* Embedded System Software and Optimization
* Embedded System Architectures
* Hardware/Software Co-design and Design Automation
* Real-Time Systems and Operating Systems
* Application-Specific Processors and Devices
* Power-Aware Computing
* Sensor Networks
* System/Network-on-Chip
* Reconfigurable Computing Systems and Applications
* Cyber-Physical Systems

UBIQUITOUS COMPUTING:
* Pervasive Computing and Communications
* Middleware and Peer-to-Peer Computing
* Internet Computing and Applications
* Multimedia and Data Management
* Human-Computer Interaction
* Network Protocols
* Wireless Communication & Networks
* Mobile Computing
* Agents and Distributed Computing
* Security and Fault Tolerance Applications

IMPORTANT DATES
===============

Workshop Proposal: March 01, 2009
Submission Deadline: April 15, 2009 –> April 30, 2009
Authors Notification: May 25, 2009
Final Manuscript Due: June 15, 2009

ELECTRONIC SUBMISSION
=====================

Prepare your paper with free styles not more than 15 pages in PDF file. Submit your paper(s) at
the EUC-09 submission site: http://cse.stfx.ca/~euc09/sub/

Each submission should be regarded as an undertaking that, if the paper be accepted, at least
one of the authors must attend the conference to present the work in order for the paper to be
included in the IEEE Digital Library.

PAPER PUBLICATION
=================

Accepted papers will be published in proceedings of the EUC-09 conference by IEEE Computer
Society. Selected bested papers will be recommended for publication in special issues of Journal
of Embedded Computing (JEC), International Journal of Embedded Systems (IJES), International
Journal of Parallel, Emergent and Distributed Systems and several SCI-indexed journals.

One best paper each in embedded and ubiquitous themes will be selected.

WORKSHOP PROPOSAL
=================

In conjunction with the EUC-09 conference, several workshops will be held. Please submit a
workshop proposal including call for papers, organizing committee, important dates, short bio of
the organizers to the EUC-09 workshop chairs before March 01, 2009. Proceedings of EUC-09
workshops will be published by IEEE CS Press. The workshops with more than 15 papers will be
granted with a free complimentary registration for the leading workshop organizer.

ORGANIZATION
============

General Chairs
Victor Leung, University of British Columbia, Canada
Jianhua Ma, Hosei University, Japan

General Vice-Chairs
Mieso Denko, University of Guelph, Canada
Sajid Hussain, Acadia University, Canada
Kin F. Li, University of Victoria, Canada

Program Chairs
Jingling Xue, University of New South Wales, Australia
Ivan Stojmenovic, University of Ottawa, Canada

Program Vice-Chairs
Embedded Systems Software and Optimization
Jenq-Kuen Lee, National Tsing hua University, Taiwan
Embedded Systems and Hardware/Software Co-Design
Pao-Ann Hsiung, National Chung Cheng University, Taiwan
Cyber-Physical Systems
Oleg Sokolsky, University of Pennsylvania, USA
Real-Time Systems and Operating Systems
Paul Pettersson, Mälardalen University, Sweden
Power-Aware Computing
Zili Shao, Hong kong Polytechnic University, China
Wireless Communications
Jelena Misic, University of Manitoba, Canada
Sensor Networks
Tian He, University of Minnesota, USA
Mobile Computing
Jiannong Cao, Hong Kong Polytechnic University, China
Agent and Distributed Computing
Brian Logan, University of Nottingham, UK
Middleware and P2P
Stephen Jarvis, University of Warwick, UK
Multimedia and Data Management
David Taniar, Monash University, Australia
Dependable, Autonomic, Secure and Trusted Computing
Indrajit Ray, Colorado State University, USA

Workshop Chairs
Wei Zhang, Southern Illinois University, USA
Daniel C. Doolan, Robert Gordon University, UK

Steering Chairs
Minyi Guo, Shanghai Jiaotong University, China
Laurence T. Yang, St Francis Xavier University, Canada

Award Chairs
Tei-Wei Kuo, National Taiwan University, Taiwan
Young-Sik Jeong, Wonkwang University, Korea

Panel Chairs
Edwin H.-M. Sha, University of Texas at Dallas, USA
Marco Avvenuti , University of Pisa, Italy

Publicity Chairs
Lei Shu, National University of Ireland, Ireland
Senol Z. Erdogan, Maltepe University, Turkey
Evi Syukur, University of New South Wales, Australia
Zhiwen Yu, Kyoto University, Japan
Bing Guo, Sichuan University, China
Feilong Tang, Shanghai Jiaotong University, China
Borgy Waluyo, Institute for Infocomm Research, Singapore

Local Chairs
Peidong Zhu, St Francis Xavier University, Canada
Andy Yongwen Pan, St Francis Xavier University, Canada
Leo Liu Yang, St Francis Xavier University, Canada

Conference Secretary
Vivian Zichun Xu, St Francis Xavier University, Canada

Program Committee
See EUC-09 web site: http://cse.stfx.ca/~euc09/

Further questions, please contact with
General: euc09@googlegroups.com
Program: Jingling Xue (jingling@cse.unsw.edu.au)
Workshop: Wei Zhang (zhang@engr.siu.edu)
Daniel C. Doolan (d.c.doolan@rgu.ac.uk)
************************************************************************
_______________________________________________
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