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Call for Papers
Full paper submission is closed. |
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ECML/PKDD 2007 Proceedings will be published by Springer Verlag in the LNAI series. By special arrangement with Springer Verlag,
conference proceedings will be available on-line during the conference. |
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Important dates * * * * * Workshops and Tutorials will be held on September 17 and 21, a separate call for proposals you can find below. The main conference will most likely start in the afternoon of September 17th and end on September 21st, noon. Paper submission High quality research contributions pertinent to any aspects of machine learning and knowledge discovery are called for, ranging from principles to practice; particular attention will be paid to papers describing innovative, challenging applications. There will be a single electronic submission procedure, where authors must indicate whether they submit their paper to ECML or PKDD. There will be a joint programme committee consisting of area chairs and reviewers for both conferences. In order to allow a meaningful assignment of your paper to the most suitable area chair and reviewers, it is important that you indicate the content of the paper with a suitable set of keywords from the provided list.There will be no "blind review" process. Student submissions should be clearly indicated on the submission form. The papers must be in English and must be formatted according to the Springer-Verlag Lecture Notes in Artificial Intelligence guidelines. Authors instructions and style files can be downloaded at http://www.springer.de/comp/lncs/authors.html. The maximum length of papers is at most 12 pages in this format. Double submissions to the KDD conference are allowed. Since the time of notification of acceptance for KDD 2007 precedes that of acceptance for ECML/PKDD 2007, the author(s) of a paper submitted to both events and accepted for KDD 2007 must withdraw the paper from ECML/PKDD 2007 immediately after being notified of the acceptance mentioned. ECML Call for Papers The European Conference on Machine Learning series intends to provide an international forum for the discussion of the latest high quality research results in machine learning and is the major European scientific event in the field. Submissions of papers that describe the application of machine learning methods to real-world problems are encouraged, particularly exploratory research that describes novel learning tasks and applications requiring non-standard techniques. In particular, we are interested in theoretical and empirical contributions to the following areas: | ||
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* Artificial neural networks * Bayesian networks * Case-based reasoning * Clustering * Computational models of human learning * Computational learning theory * Constructive induction and theory revision * Cooperative learning * Decision tree learning * Discovery * Ensemble methods * Evaluation of learning methods * Incremental induction and on-line learning * Inductive logic programming * Information retrieval and learning * Instance based learning |
* Kernel methods * Knowledge base refinement * Knowledge intensive learning * Machine learning of natural language * Meta learning * Multi-agent learning * Multi-strategy learning * Planning and learning * Prediction of complex structures * Regression * Reinforcement learning * Rule learning * Statistical approaches * Semi-supervised learning * Unsupervised learning * Vision and learning | |
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PKDD Call for Papers The European Conference on Principles and Practice of Knowledge Discovery in Databases celebrates its 11th year as an international forum for the state of the art in the interdisciplinary field of knowledge discovery and as the major European scientific event in this domain. We invite submissions that report original results on leading-edge subjects of knowledge discovery from conventional and complex data, adhering but not limited to the following topics of interest: | ||
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* Adaptive and incremental algorithms * Applications of data mining * Foundations of data mining * Knowledge modeling and exploitation in data mining * KDD frameworks and process models * Innovative algorithms * Mining and induction in databases * Mining data streams * Mining links, graphs, trees, sequences and high-dimensional structures |
* Mining for information retrieval * Mining text, hypertext and semi-structured data * Multimedia data mining * Multirelational data mining * Pre-processing methods for data mining * Post-processing and maintenance of data mining patterns * Spatial and temporal data mining * Visualisation of data mining patterns | |
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Call for Tutorials & Workshops |
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Workshop proposal submission is closed. Tutorial proposal submission is closed. The ECML/PKDD-2007 Organizing Committee invites proposals for tutorials and workshops that will be co-located with the main ECML/PKDD 2007 conference in Warsaw, Poland. We invite proposals for half-day tutorials and full day workshops. Proposals for a workshop/tutorial combination are also welcome (see below). The scope of the proposal should be consistent with the conference themes as described in the ECML/PKDD-2007 Call for Papers. Workshops: These provide an opportunity to discuss current topics in machine learning and/or data mining in a small and interactive atmosphere. Thus, any topic that is of current interest to a sufficient number of participants from the two communities could be the focus of a workshop. Workshops can concentrate in-depth on research topics, but can also be devoted to application issues, or to questions concerning the economic and social aspects of machine learning and data mining. Multidisciplinary workshops that bring together researchers and practitioners from different communities such as advanced computing and GRID, database, ontology, life science, cognitive science, economics and finance, mathematics and operations research, are welcome. Tutorials: These are intended to provide independent instruction on topics from the field of machine learning or data mining. Introductions to other research domains that could fertilize the machine learning/data mining field with new challenges or solutions are also welcome provided that there is a clear relation to machine learning/data mining. Each tutorial should: * attract a large enough audience; * be presented by highly qualified persons with a demonstrable background and teaching experience in the tutorial area; * be well-focused, so that its core content can be covered in a 3.5 hour tutorial slot (incl. a 30 minute break); * be accompanied by comprehensive notes written in clear, standard English; * cope with the wide diversity in the ECML/PKDD audience (preferable), or else be accompanied by a complete list of tutorial prerequisites; * cover the overall picture, without a bias towards the presenters' own work; * be free of commercial or sales-oriented material. As workshops and tutorials are in a sense complementary, we also welcome proposals for combined tutorial-workshop events. The general idea is that the tutorial gives an introduction to the field of the workshop, making the workshop accessible to a broader audience. The organizers reserve the right to suggest merging of some proposed workshops or tutorials if they cover similar areas. Workshop Participation and Proceedings All workshop participants are required to register for the main conference. During registration the participants will specify which workshop they are going to attend. If the workshop organizers intend to allow access to the workshop by invitation only, or would like to see the number of participants limited, then they should clearly indicate so. To make it easier for workshop organizers to attract invited speakers, a limited number of invited speakers (e.g. one per workshop) can be allowed without registration for the main conference, provided they do not attend the main conference. Workshop proceedings have to be prepared camera-ready by the workshop organizers (in PDF format). They will be printed by the ECML/PKDD organizers. A common paper style shall be adopted for workshop proceedings (Springer LNCS format). In addition, the ECML/PKDD organizers intend to prepare a CD containing all the workshop proceedings. Hence, electronic submissions to the workshops are essential so that this could be carried out. Tutorial participation and publication of materials Registered conference participants can freely attend all tutorials. Tutorial presenters are expected to prepare hand-outs for the audience (PDF file), which will be printed by the ECML/PKDD organizers. The organizers also plan to make the tutorial materials available on the CD containing the workshop materials. Consequently, tutorial presenters are expected to make their materials available several weeks before the start of the conference (see the table with Important dates). Discounts on registration will be considered for the tutorial presenters. Important dates for Workshops * * * * * Workshop paper acceptance notification: July 21st, 2007 * Workshop paper camera-ready deadline: July 28th, 2007 * Workshop proceedings (camera-ready): August 04th, 2007 * Start of the conference: September 17, 2007 Important dates for Tutorials * * * * Tutorial notes (camera-ready): August 04th, 2007 * Start of the conference: September 17, 2007 How to Propose a Workshops Workshop proposals should contain the necessary information for the workshop chairs and reviewers to judge the importance, quality and community interest in the proposed topic. Each workshop should have one or more designated organizers and a workshop program or organizing committee. When proposing a workshop, please provide (at least) the following information: * A brief technical description of the specific technical issues that the workshop will address. * The reasons why the workshop is of interest this time. * The names, postal and email addresses, phone and fax numbers of the Workshop Chairs. At least one of the Workshop Chairs should be a knowledgeable person in the area of machine learning or data mining. * The names, affiliations and email addresses of the Workshop Program Committee. * A list of previously-organized related workshops by any of the Workshop Chairs, although previous experience with similar workshops is not required. * If possible, a list of potential attendees if the proposal of the workshop were accepted. Estimate of the number of potential participants and their main research areas (machine learning, data mining, database, statistics, logics, life science, finance, ...). * How the workshop will be publicized. * A summary of the intended workshop Call for Participation, showing how the organizers will encourage a workshop, rather than a mini-conference, atmosphere (e.g., invited talks, presentations, panel discussions, or other ideas for ensuring an interactive atmosphere). * Plans to document the workshop results (beyond ECML/PKDDS publication). * Ideal duration of the workshop (three/ four sessions). * A list of audio-visual or technical requirements and any special room requirements. * In the case of a combined tutorial-workshop proposal: title of the tutorial and name of proposers. * Proposers are encouraged to send their draft proposal to the potential participants for comments before submission. Please submit your workshop proposals by e-mail to ECML/PKDD workshop chair (see contact information below). She will review the proposals in close collaboration with the tutorial chair, conference chairs and the program committee. How to Propose a Tutorial Tutorial proposals should contain all information that the proposer considers to be relevant for judging the relevance of the tutorial. In particular, it should contain (1) title of the tutorial and a short overview of the area that will be covered, (2) an outline of the tutorial in the form of a structured list of topics, (3) a description of the target audience and expected prior knowledge, and (4) information about the scientific qualifications of the presenter(s) including their experience on teaching the material of the tutorial, if possible (5) accompanied by some sample material (e.g., slides or hand-outs from a previous tutorial or a course the presenters have taught). All materials should be submitted by e-mail to the ECML/PKDD tutorial chair (see contact information below). He will review the proposal in close collaboration with the workshop chair, conference chairs and the program committee. How to Propose a Tutorial/Workshop Combination Proposals for joint tutorial-workshop events can be made by sending the joint proposal to both the workshop and the tutorial chair, clearly indicating on each proposal that this is a joint event, and also stating reasons why such a joint event is preferable to just a workshop or tutorial. It is possible for joint proposals that only the workshop or tutorial part will be accepted. |
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Workshops Chair Marzena Kryszkiewicz workshops(AT)ecmlpkdd2007.org Institute of Computer Science Faculty of Electronics and Information Technology Warsaw University of Technology Nowowiejska 15/19 PL 00-665 Warsaw, Poland mkr(AT)ii.pw.edu.pl Tel: +48 22 234 77 01 Fax: +48 22 825 16 35 |
Tutorials Chair Jan Rauch tutorials(AT)ecmlpkdd2007.org Department of Information and Knowledge Engineering University of Economics, Prague nam. W. Churchilla 4, 130 67 Prague, Czech Republic rauch(AT)vse.cz Tel: +420 2 24 095 463 Fax: +420 2 24 095 400 |
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