IEDA 2022

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en"> <head> <meta http-equiv="Content-type" content="text/html; charset=utf-8" /> <meta name="description" content="Industrial Exhibition on Intelligent Data and Image Analysis IEDA, July 14-15, 2022"/> <meta name="keywords" content="IEDA,Industrial exhibition,Data mining,Image mining,Web mining,Data cleaning,Berlin, New York, IEDA 2022"/> <meta name="author" content="Prof. Petra Perner"/> <meta name="organization" content="ibai-solutions"/> <meta name="revisit-after" content="2 days"/> <meta name="language" content="en"/> <meta name="robots" content="index,follow"/> <title>IEDA 2022</title> <link rel="stylesheet" type="text/css" href="css/chrome.css" /> <link rel="stylesheet" type="text/css" href="css/article.css" /> <link rel="shortcut icon" href="favicon.ico"/> <link rel="alternate" type="application/rss+xml" title="Industrial Exhibition on Intelligent Data and Image Analysis" href="http://iedaexhibition.de/tinc?key=0VHoHA50"/> <link rel="alternate" type="application/atom+xml" title="Industrial Exhibition on Intelligent Data and Image Analysis" href="http://iedaexhibition.de/tinc?key=oMgyxfat"/> </head> <body> <div id="head"> <div class="logo"> <a href="index.php"><img src="img/logo_innen.gif" alt="IEDA " width="265" height="81" /></a> </div> <div class="metanav"> <ul> <li><a href="contact.php">Contact</a></li>  <li><a href="http://iedaexhibition.de/tinc?key=0VHoHA50" onclick="window.open(this.href,'_blank');return false"><img class="rss_pic" src="img/rss.jpg" alt="RSS" title="RSS"/></a></li> <li><a href="http://iedaexhibition.de/tinc?key=oMgyxfat" onclick="window.open(this.href,'_blank');return false"><img class="rss_pic" src="img/atom.jpg" alt="Atom" title="Atom"/></a></li> </ul> <div class="header_pic"> <img src="img/titelgrafik.gif" alt="Industrial Exhibition on Intelligent Data and Image Analysis" width="594" height="75" /> </div> </div> <div id="picrow"> <img class="nomargin first" src="img/picrow_left.jpg" alt="Illustration"/> <img class="nomargin second" src="img/picrow_content_1.jpg" alt="1"/> <img class="third" src="img/picrow_content_2.jpg" alt="2"/> <img class="fourth" src="img/picrow_content_3.jpg" alt="3"/> <br class="fixfloat"/> </div> </div> <div id="contentnav"> <ul><li><a href="index.php"><span>Home</span></a></li><li><a href="important_dates.php"><span>Important Dates</span></a></li><li><a href="registration.php"><span>Registration</span></a></li><li><a href="industrialfair.php"><span>Industrial Fair</span></a></li><li><a href="jobfair.php"><span>Job Fair</span></a></li><li><a href="book_fair.php"><span>Book Fair</span></a></li><li><a href="exhibitor.php"><span>Exhibitor</span></a></li><li><a class="subactive" href="tutorials.php"><span>Tutorials</span></a><ul><li><a href="t_dm.php"><span>Data Mining</span></a></li><li class="active"><a href="t_cbr.php"><span>Case-Based Reasoning</span></a></li></ul></li><li><a href="travel.php"><span>Location, Accommodations and Travel</span></a></li><li><a href="bibliography.php"><span>Bibliography</span></a></li></ul> </div> <div id="content"> <div class="block containingfloat"> <div class="left noborder"> <h1>Case-Based Reasoning Tutorial</h1> <h2>July 16, 2022, New York / USA</h2> <p><b>Prof. Dr. Petra Perner</b></p> <p align="justify">CBR solves problems using the already stored knowledge, and captures new knowledge, making it immediately available for solving the next problem. Therefore, case-based reasoning can be seen as a method for problem solving, and also as a method to capture new experience and make it immediately available for problem solving. It can be seen as a learning and knowledge-discovery approach, since it can capture from new experience some general knowledge, such as case classes, prototypes and some higher-level concept. The idea of case-based reasoning originally came from the cognitive science community which discovered that people are rather reasoning on formerly successfully solved cases than on general rules. The case-based reasoning community aims to develop computer models that follow this cognitive process. For many application areas computer models have been successfully developed, which were based on CBR, such as signal/image processing and interpretation tasks, help-desk applications, medical applications and E-commerce product-selling systems. In the tutorial we will explain the case-based reasoning process scheme. We will show what kind of methods are necessary to provide all the functions for such a computer model. We will develop the bridge between CBR and other disciplines. Examples will be given based on signal-interpreting applications and information management. </p> <p align="justify">Participants will receive a stampend and signed certificate by IBaI for their participation in the tutorial and the tutorial material.</p> <h2>Program</h2> <ul> <p> Tutorial starts at 9:00 am and ends at 4:00 pm. <li>Introduction to CBR</li> <li>Similarity</li> <li>Memory Organization</li> <li>Case Mining</li> <li>CBR in Information Management/Signal Processing</li> <li>End of Tutorial</li> </ul> <h2>Lecturer</h2> <p align="justify">Petra Perner is the director of the Institute of Computer Vision and Applied Computer Sciences IBaI. Her research interest is image analysis and interpretation, machine learning, data mining, machine learning, image mining and case-based reasoning. Recently, she is working on various medical, chemical and biomedical applications, information management applications, technical diagnosis and e-commerce applications. She has published numerous scientific publications and patents and is often requested as a plenary speaker in distinct research fields as well as across disciplines. Her vision is to build intelligent flexible and robust data-interpreting systems that are inspired by the human case-based reasoning process.</p> <p align="justify"><h2>Tutorial Case-based Reasoning REVIEW, New York, July 17th, 2021</p></h2> <p align="justify">The CBR tutorial was an eye opener enriching experience about how to approach incremental data scenarios using case based reasoning. Prof. Dr. Petra Perner is an expert in the matter and gets to transmit the message in a clear and precise way. She was prompt to respond all the questions and arise interesting discussions around them. Looking forward to keep learning about the subject.</p> <p align="justify">Gabriel Suarez</br> Rappi, Bogota, Columbia</p> <h2>Report Case-Based Reasoning Tutorial, New York, July 2013</h2> <p><b>Prof. Dimitrios Karras Sterea Hellas Institute of Technology, Dept. Automation, Hellas (Forth), Greece</b></p> <p align="justify">The tutorial on Case-Based Reasoning (CBR) has been given to me a deep introduction to the theory of CBR. All theoretical aspects of CBR have been explained in deep - the methodology, the similarity, case base organization, and case base learning. On examples had been explained how these theoretical methods can be applied and make up sucessful real world solutions. All togehter it was very worse for me to take this tutorial. I enjoyed very much the presentation and the atmosphere during the tutorial.</p> </div> <div class="right"> <img class="pic" src="img/156_conference.jpg" alt="conference © Petra Perner" title="conference"/> <img class="pic" src="img/156_conference2.jpg" alt="conference © Fotolia" title="conference"/> <img class="pic" src="img/156_conference3.jpg" alt="conference © Petra Perner" title="conference"/> <img class="pic" src="img/images_2021/gabriel_suarez.jpg" alt="DSA 2021" title="presentation2021_Gabriel_Suarez"/> <img class="pic" src="img/images_2021/gabriel_suarez_petra_perner.jpg" alt="DSA 2011" title="2021_Gabriel Suarez&Petra Perner"/> </div> </div> </div> </body> </html>

CINXE.COM

IEDA 2022