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Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application that builds on techniques and theories from many fields, including statistics, databases, pattern recognition and learning, data visualization, uncertainty modelling, data warehousing and OLAP, optimization, and high performance computing. KDD is concerned with issues of scalability, the multi-step knowledge discovery process for extracting useful patterns and models from raw data stores (including data cleaning and noise modelling), and issues of making discovered patterns understandable. Data Mining and Knowledge Discovery is the premier technical publication in the field, providing a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the research and practice of DMKD, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications. Short (2-4 pages) application summaries are published in a special section. The journal accepts paper submissions of any work relevant to DMKD. A summary of the scope of Data Mining and Knowledge Discovery includes: Theory and Foundational Issues: Data and knowledge representation; modelling of structured, textual, and multimedia data; uncertainty management; metrics of interestingness and utility of discovered knowledge; algorithmic complexity, efficiency, and scalability issues in data mining; statistics over massive data sets. Data Mining Methods: including classification, clustering, probabilistic modelling, prediction and estimation, dependency analysis, search, and optimization. Algorithms for data mining including spatial, textual, and multimedia data (e.g., the Web), scalability to large databases, parallel and distributed data mining techniques, and automated discovery agents. Knowledge Discovery Process: Data pre-processing for data mining, including data cleaning, selection, efficient sampling, and data reduction methods; evaluating, consolidating, and explaining discovered knowledge; data and knowledge visualization; interactive data exploration and discovery. Application Issues: Application case studies; data mining systems and tools; details of successes and failures of KDD; resource/knowledge discovery on the Web; privacy and security issues.</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-07-18</div> </div> </div>  <div class="portlet" id="yw3"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-file"></i> Related Journals</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw4" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw4_c0">CCF</th><th id="yw4_c1">Full Name</th><th id="yw4_c2">Impact Factor</th><th id="yw4_c3">Publisher</th><th id="yw4_c4">ISSN</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td><a href="/journal/632">Advances in Multimedia</a></td><td>0.700</td><td>Hindawi</td><td>1687-5680</td></tr> <tr class="even"> <td></td><td><a 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href="/journal/473">Cryptography and Communications</a></td><td>1.200</td><td>Springer</td><td>1936-2447</td></tr> <tr class="odd"> <td></td><td><a href="/journal/137">Statistical Analysis and Data Mining</a></td><td> </td><td>John Wiley & Sons, Ltd</td><td>1932-1872</td></tr> <tr class="even"> <td></td><td><a href="/journal/926">Simulation & Gaming</a></td><td></td><td>SAGE</td><td>1046-8781</td></tr> </tbody> </table><div class="keys" style="display:none" title="/journal/107"><span>632</span><span>38</span><span>259</span><span>715</span><span>942</span><span>633</span><span>724</span><span>473</span><span>137</span><span>926</span></div> </div></div> <div class="visible-phone"> <div id="yw5" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw5_c0">Full Name</th><th id="yw5_c1">Impact Factor</th><th id="yw5_c2">Publisher</th></tr> </thead> <tbody> <tr class="odd"> <td><a href="/journal/632">Advances in Multimedia</a></td><td>0.700</td><td>Hindawi</td></tr> <tr class="even"> <td><a href="/journal/38">Microprocessors and Microsystems: Embedded Hardware Design</a></td><td>1.900</td><td>Elsevier</td></tr> <tr class="odd"> <td><a href="/journal/259">International Journal of Distributed and Parallel Systems</a></td><td> </td><td>AIRCC</td></tr> <tr class="even"> <td><a href="/journal/715">ISPRS Journal of Photogrammetry and Remote Sensing</a></td><td>10.60</td><td>Elsevier</td></tr> <tr class="odd"> <td><a href="/journal/942">Numerical Heat Transfer, Part B: Fundamentals</a></td><td>1.700</td><td>Taylor & Francis</td></tr> <tr class="even"> <td><a href="/journal/633">Advances in Optical Technologies</a></td><td></td><td>Hindawi</td></tr> <tr class="odd"> <td><a href="/journal/724">Archives of Computational Methods in Engineering</a></td><td>9.700</td><td>Springer</td></tr> <tr class="even"> <td><a href="/journal/473">Cryptography and Communications</a></td><td>1.200</td><td>Springer</td></tr> <tr class="odd"> <td><a href="/journal/137">Statistical Analysis and Data Mining</a></td><td> </td><td>John Wiley & Sons, Ltd</td></tr> <tr class="even"> <td><a href="/journal/926">Simulation & Gaming</a></td><td></td><td>SAGE</td></tr> </tbody> </table><div class="keys" style="display:none" title="/journal/107"><span>632</span><span>38</span><span>259</span><span>715</span><span>942</span><span>633</span><span>724</span><span>473</span><span>137</span><span>926</span></div> </div></div> </div> </div> <div class="portlet" id="yw6"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw7" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw7_c0">CCF</th><th id="yw7_c1">CORE</th><th id="yw7_c2">QUALIS</th><th id="yw7_c3">Short</th><th id="yw7_c4">Full Name</th><th id="yw7_c5">Submission</th><th id="yw7_c6">Notification</th><th id="yw7_c7">Conference</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td></td><td></td><td>EMMCVPR</td><td><a href="/conference/522">International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition</a></td><td>2014-07-30</td><td>2014-09-14</td><td>2015-01-01</td></tr> <tr class="even"> <td></td><td></td><td></td><td>EI</td><td><a href="/conference/2723">IS&T International Symposium on Electronic Imaging</a></td><td>2019-09-30</td><td> </td><td>2020-01-26</td></tr> <tr class="odd"> <td></td><td></td><td></td><td>ISAMI</td><td><a href="/conference/2951">International Symposium on Ambient Intelligence</a></td><td>2020-02-17</td><td>2020-03-09</td><td>2020-06-17</td></tr> <tr class="even"> <td></td><td></td><td></td><td>SVC</td><td><a href="/conference/3521">International Conference on Signal Processing, VLSI Design & Communication 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badge-warning">a1</span></td><td>KDD</td><td><a href="/conference/136">ACM SIGKDD Conference on Knowledge Discovery and Data Mining</a></td><td>2025-02-01</td><td>2025-05-16</td><td>2025-08-03</td></tr> <tr class="odd"> <td></td><td></td><td></td><td>i-Society</td><td><a href="/conference/628">International Conference on Information Society</a></td><td>2024-01-20</td><td>2024-01-31</td><td>2024-08-26</td></tr> <tr class="even"> <td></td><td></td><td></td><td>DBDM</td><td><a href="/conference/3794">International Conference on Database and Data Mining</a></td><td>2023-02-11</td><td>2023-02-18</td><td>2023-02-25</td></tr> </tbody> </table><div class="keys" style="display:none" title="/journal/107"><span>522</span><span>2723</span><span>2951</span><span>3521</span><span>2804</span><span>4368</span><span>529</span><span>136</span><span>628</span><span>3794</span></div> </div></div> <div class="visible-phone"> <div id="yw8" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw8_c0">Short</th><th id="yw8_c1">Full Name</th><th id="yw8_c2">Submission</th><th id="yw8_c3">Conference</th></tr> </thead> <tbody> <tr class="odd"> <td>EMMCVPR</td><td><a href="/conference/522">International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition</a></td><td>2014-07-30</td><td>2015-01-01</td></tr> <tr class="even"> <td>EI</td><td><a href="/conference/2723">IS&T International Symposium on Electronic Imaging</a></td><td>2019-09-30</td><td>2020-01-26</td></tr> <tr class="odd"> <td>ISAMI</td><td><a href="/conference/2951">International Symposium on Ambient Intelligence</a></td><td>2020-02-17</td><td>2020-06-17</td></tr> <tr class="even"> <td>SVC</td><td><a href="/conference/3521">International Conference on Signal Processing, VLSI Design & Communication Systems</a></td><td>2022-12-24</td><td>2023-01-28</td></tr> <tr class="odd"> <td>5GU</td><td><a href="/conference/2804">International Conference on 5G for Ubiquitous Connectivity</a></td><td>2018-07-10</td><td>2018-12-03</td></tr> <tr class="even"> <td>ICAITA'</td><td><a href="/conference/4368">International Conference on Artificial Intelligence Technologies and Applications</a></td><td>2025-04-27</td><td>2025-07-11</td></tr> <tr class="odd"> <td>DaWaK</td><td><a href="/conference/529">International Conference on Big Data Analytics and Knowledge Discovery</a></td><td>2025-03-07</td><td>2025-08-25</td></tr> <tr class="even"> <td>KDD</td><td><a href="/conference/136">ACM SIGKDD Conference on Knowledge Discovery and Data Mining</a></td><td>2025-02-01</td><td>2025-08-03</td></tr> <tr class="odd"> <td>i-Society</td><td><a href="/conference/628">International Conference on Information Society</a></td><td>2024-01-20</td><td>2024-08-26</td></tr> <tr class="even"> <td>DBDM</td><td><a href="/conference/3794">International Conference on Database and Data Mining</a></td><td>2023-02-11</td><td>2023-02-25</td></tr> </tbody> </table><div class="keys" style="display:none" title="/journal/107"><span>522</span><span>2723</span><span>2951</span><span>3521</span><span>2804</span><span>4368</span><span>529</span><span>136</span><span>628</span><span>3794</span></div> </div></div> </div> </div> <div class="portlet" id="yw9"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-eye-open"></i> Recommendation</div> </div> <div class="portlet-content"> <div align="center"> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>  <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-6743617430731451" data-ad-slot="1870704128" data-ad-format="autorelaxed"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </div> </div> </div> </div> <div class="span2 hidden-phone"> <div class="sidebar-nav"> <ul id="yw10"> <li><a href="http://www.myhuiban.com/journal/track/id/107"><i class="icon icon-plus"></i>   Track It <span 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title="/journal/107"><span>47044</span><span>46958</span><span>51737</span><span>39074</span><span>38790</span><span>36345</span><span>41222</span><span>37251</span><span>35027</span><span>37054</span><span>22138</span><span>34530</span><span>7905</span><span>33933</span><span>33803</span><span>24440</span><span>34039</span><span>33203</span><span>33018</span><span>32758</span><span>3721</span><span>28799</span><span>20923</span><span>28139</span><span>11680</span><span>21422</span><span>17790</span><span>3637</span><span>19222</span><span>21334</span><span>19987</span><span>20205</span><span>13407</span><span>17214</span><span>16888</span><span>15485</span><span>13813</span><span>12703</span><span>12168</span><span>10656</span><span>10003</span><span>10167</span><span>9780</span><span>7088</span><span>1589</span><span>7508</span><span>7709</span><span>4841</span><span>1640</span><span>4855</span><span>4126</span><span>4223</span><span>3429</span><span>2026</span><span>1991</span><span>732</span><span>1843</span><span>438</span><span>232</span></div> 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