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ICDM 2025, Industrial Conference on Data Mining
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vertical-align:top; color:#666666;width:18.2981em; height:6.2379em;"> <iframe src="http://www.facebook.com/plugins/likebox.php?href=http%3A%2F%2Fwww.facebook.com%2Ffind-friends%2Findex.php%23%21%2Fpages%2FData-Mining-Machine-Learning-Community%2F144294218954736+&width=230&colorscheme=light&connections=0&stream=false&header=false&height=85" scrolling="no" frameborder="0" style="border:none; overflow:hidden; width:230px; height:85px;" allowTransparency="true"></iframe> </div> </div> </div> <div id="content"> <div class="block containingfloat"> <div class="left noborder"> <a name="top"></a> <h1>ICDM Call for Paper</h1> <p> <a href="#aim">The Aim of the Conference</a><br/> <a href="#topics">Topics of the conference</a><br/> <a href="#committee">Program Committee</a><br/> <a href="important_dates.php">Deadlines</a> </p> <a name="aim"></a> <h2>The Aim of the Conference</h2> <p> The Industrial conferences on Data Mining ICDM is held on yearly basis. Experts from different fields will present their applications and the results obtained by applying data mining. Besides that, newcomers in the field can get a fast introduction to Data Mining by taking the tutorial running in connection with the conference. In a problem/solution hour you will have the opportunity to present your application and ask for support by others or for cooperation in solving the problem. </p> <p>« <a href="#top">top</a></p> <a name="topics"></a> <h2>Topics of the conference</h2> <p>Paper submissions should be related but not limited to any of the following topics:</p> <p>Applications of Data Mining in ...</p> <ul> <li>Marketing</li> <li>Medicine</li> <li>Civil Engineering</li> <li>E-Commerce (Mining Logfiles)</li> <li>Biotechnology</li> <li>Quality Management</li> <li>Multimedia Data (Image, Video, Text, Signals)</li> <li>Web-Mining</li> <li>Intrusion Detection in Networks</li> <li>Criminology</li> <li>Telecommunications</li> <li>Social Sciences</li> <li>Forensic Data Analysis</li> <li>Drug Discovery</li> <li>Agriculture</li> <li>Smart Maintenance</li> <li>Legal Court Cases</li> <li>Energy Industries</li> <li>Logistics and Supply Chain Management</li> <li>Finance and Stock Markets</li> <li>Meterology, Blockchain and more ...</li> </ul> <ul> <p> </p> <p>Theoretical and Application-oriented Topics in ...</p> <ul> <li>Big Data and Algorithm for Big Data</li> <li>Case-Based Reasoning and Similarity-Based Reasoning </li> <li>Clustering</li> <li>Classification & Prediction</li> <li>Statistical Learning</li> <li>Association Rules</li> <li>Deviation and Novelty Detection</li> <li>Control Charts</li> <li>Conceptional Learning</li> <li>Goodness Measures and Evaluation (e.g. false discovery rates)</li> <li>Inductive Learning Including Decision Tree and Rule Induction Learning</li> <li>Organisational Learning and Evolutional Learning</li> <li>Sampling Methods</li> <li>Similarity Measures and Learning of Similarity</li> <li>Statistical Learning and Neural Net Based Learning</li> <li>Visualization and Data Mining</li> <li>Deviation and Novelty Detection</li> <li>Feature Grouping, Discretization, Selection and Transformation</li> <li>Feature Learning</li> <li>Frequent Pattern Mining</li> <li>Learning and Adaptive Control</li> <li>Learning/Adaption of Recognition and Perception</li> <li>Learning for Handwriting Recognition</li> <li>Learning in Image Pre-Processing and Segmentation</li> <li>Mining Financial or Stockmarket Data</li> <li>Mining Motion from Sequence</li> <li>Subspace Methods</li> <li>Support Vector Machines</li> <li>Time Series and Sequential Pattern Mining</li> <li>Desirabilities</li> <li>Graph Mining</li> <li>Agent Data Mining</li> <li>Applications in Software Testing</li> <li>Knowledge Management</li> <li>Mining Social Media</li> <li>Online Targeting & Controlling</li> <li>Behavioral Targeting</li> <li>Meteorological Data Mining</li> <li>Data Mining in Energy Industry </li> <li>Design of Experiment</li> <li>Strategy of Experimentation</li> <li>Capability Indices</li> <li>Business Intelligence and Data Mining</li> <li>Legal Informatics and Data Mining</li> <li>Data Mining for Logistic and Supply Chain Management</li> </ul> <p> </p> <p>Authors can submit their paper in long or short version.</p> <h3>Long Paper</h3> <p>The paper must be formatted in the Springer LNCS format. They should have at most 15 pages. The papers will be reviewed by the program committee. You can submit the paper in your format. After acceptance we will bring the paper into the format of the on-line book. The book will be publised as limited set. Keep the original copy in your stack and provide them with the index to persons who have requested it. If you forgot the indexing information you can requested this information by the german national library or the national library of your home country.<p/> <h3>Short Paper</h3> <p>Short papers are also welcome and can be used to describe work in progress or project ideas. They can have up ton 15 pages, formatted in your format. Accepted short papers will be presented as poster in the poster session. They will be published in a special poster on-line book. See above for more information.</p> <h3>Industry Papers</h3> <p>We encourage industrial people to show their applications and projects for data mining. This work can be presented as poster during the poster session in the special industry track. Please submit a one page abstract including title, name and affilation. The same publication information as above applies.</p> <!--p>Please submit your Short Paper and your Industry Paper to the <a href="https://easychair.org/conferences/?conf=icdm2024" onclick="window.open(this.href,'_blank');return false">CMS-System</a>.</p> <!--p> Papers will be submitted via an on-line reviewing system. Details will be announced by the end of September 2012. </p--> <p>Notice that the submission is NOT the registration to the conference! Please fill out the registration form.</p> <p>If you have any problem with the submission, please contact via email <a href="mailto:icdm@futurelab-ai-ibai-2.de">icdm@futurelab-ai-ibai-2.de</a>. </p> <p>« <a href="#top">top</a></p> <a name="committee"></a> <h2>Program Committee</h2> <table> <tbody> <tr> <th>Chair</th> <th></th> </tr> <tr> <td class="last td_widther"><a href="http://www.ibai-research.de" onclick="window.open(this.href,'_blank');return false">Petra Perner</a></td> <td class="last td_left">IBaI, Germany</td> </tr> <tr> <th>Committee</th> <th></th> </tr> <tr> <td class="td_widther">Plamen Angelov</a></td> <td class="td_left">Lancaster University, United Kingdom</td> </tr> <tr> <td class="td_widther">Yingying Chen</a></td> <td class="td_left">Rutgers University, USA</td> </tr> <tr> <td class="td_widther"> Antonio Dourado</td> <td class="td_left">University of Coimbra, Portugal</td> </tr> <tr> <td class="td_widther">Stefano Ferilli</a></td> <td class="td_left">University of Bari, Italy</td> </tr> <tr> <td class="td_widther">Warwick Graco</td> <td class="td_left">Analytics Shed, Australia</td> </tr> <tr> <td class="td_widther">Aleksandra Gruca</td> <td class="td_left">Silesian University of Technology</td> </tr> <tr> <td class="td_widther">Pedro Isaias</td> <td class="td_left">The University of New South Wales, Australia</td> </tr> <tr> <td class="td_widther"> Piotr Jedrzejowicz</td> <td class="td_left">Gdynia Maritime University, Poland</td> </tr> <tr> <td class="td_widther">Martti Juhola</td> <td class="td_left">University of Tampere, Finland</td> </tr> <tr> <td class="td_widther">Janusz Kacprzyk </td> <td class="td_left">Polish Academy of Sciences, Poland</td> </tr> <tr> <td class="td_widther">Ling Liu</td> <td class="td_left">Georgia Institute of Technology, USA</td> </tr> <tr><td class="td_widther"> Eduardo F. Morales</td> <td class="td_left">National Institute of Astrophysics, Optics, and Electronics, Mexico</td> </tr> <tr> <td class="td_widther"> Wieslaw Paja</td> <td class="td_left">University of Rzeszow, Poland</td> </tr> <tr> <td class="td_widther">Victor Sheng</td> <td class="td_left">University of Central Arkansas, USA</td> </tr> <tr> <td class="td_widther">Iren Todorova Valova</td> <td class="td_left">University of Massachusetts Dartmouth, USA</td> </tr> </tbody> </table> <p> An industrial exhibition running in connection with the conference will give you the opportunity to look at new trends and systems in industry and to present your research to industry. </p> <p>« <a href="#top">top</a></p> <h2>Deadlines</h2> <p><a href="important_dates.php">more Information</a></p> </div> <div class="right"> <div class="box"> <img src="img/154_registration.gif" alt="Registration" title="Registration"/> <p> <a href="registration.php">Register here</a> <!--a href ="https://easychair.org/conferences/?conf=icdm2023">Submit your paper<a/> <a href ="submission.php">Submit your short paper or industry paper</a--> <a href="https://easychair.org/conferences/?conf=icdm2023" onclick="window.open(this.href,'_blank');return false">Submit your paper</a> <a href="https://easychair.org/conferences/?conf=icdm2023" onclick="window.open(this.href,'_blank');return false">Submit your short paper or industry paper</a> </p> </div> <img class="pic" src="img/156_vortrag.jpg" alt="presentation © Shutterstock" title="presentation"/> <img class="pic" src="img/156_vortrag1.jpg" alt="presentation © Petra Perner" title="presentation"/> <img class="pic" src="img/156_referat.jpg" alt="presentation © Shutterstock" title="presentation"/> </div> </div> </div> </body> </html>