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PAKDD 2025 is soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by Springer. We solicit novel, high-quality, and original research papers that provide innovative insights into all facets of knowledge discovery and data science, including but not limited to theoretical foundations of mining, inference, and learning, big data technologies, as well as security, privacy, and integrity. We also encourage visionary papers on emerging topics and application-based papers offering innovative technical advancements to interdisciplinary research and applications of data science. Conference Topics Topics of relevance for the conference include, but are not limited to, the following: Theoretical Foundations Generative AI, quantum ML, neuro-symbolic methods and reasoning, causal reasoning, non-IID learning, OOD generalization, representation learning, mathematical and statistical foundations, information theoretic approaches, optimization method Theoretical foundations for fairness, safety, model explainability, and XAI Learning Methods and Algorithms Clustering, classification, pattern mining and association rules discovery Supervised learning, semi-supervised learning, few-shot and zero-shot learning, active learning Reinforcement learning and bandits Transfer learning, federated learning Anomaly detection, outlier detection Learning in recommendation engines Learning in streams and in time series Learning on structured data, images, texts and multi-modal data Online learning, model adaption Graph mining and Graph NNs Data Processing for Learning Dimensionality reduction, feature extraction, subspace construction Data cleaning and preparation, data integration and summarization Learning in real-time Big data technologies Information retrieval Data/entity/event/relationship extraction User interfaces and visual analytics Security, Privacy, Ethics, Information Integrity and Social Issues Modeling credibility, trustworthiness, and reliability Privacy-preserving data mining and privacy models Model transparency, interpretability, and fairness Misinformation detection, monitoring, and prevention Social issues, such as health inequities, social development, and poverty Interdisciplinary Research on Data Science Applications Social network/media analysis and dynamics, reputation, influence, trust, opinion mining, sentiment analysis, link prediction, and community detection Symbiotic human-AI interaction, human-agent collaboration, and socially interactive robots Internet of Things, logistics management, network traffic and log analysis, and supply chain management Business and financial data, computational advertising, customer relationship management, intrusion and fraud detection, and intelligent assistants Medical and public health applications, drug discovery, healthcare management, and epidemic monitoring and prevention Methods for detecting and combating spamming, trolling, aggression, toxic online behaviors, bullying, hate speech, and low-quality and offensive content Climate, ecological, and environmental science, and resilience and sustainability Astronomy and astrophysics, genomics and bioinformatics, high energy physics, robotics, AI-assisted programming, and scientific data</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-10-01</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-thumbs-up"></i> Best Papers</div> </div> <div class="portlet-content"> <div id="yw3" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw3_c0">Year</th><th id="yw3_c1">Best Papers</th></tr> </thead> <tbody> <tr class="odd"> <td>2019</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Parameter+Transfer+Unit+for+Deep+Neural+Networks">Parameter Transfer Unit for Deep Neural Networks</a></td></tr> <tr class="even"> <td>2019</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Towards+one+reusable+model+for+various+software+defect+mining+tasks">Towards one reusable model for various software defect mining tasks</a></td></tr> <tr class="odd"> <td>2019</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Time-dependent+Survival+Neural+Network+for+Remaining+Useful+Life+Prediction">Time-dependent Survival Neural Network for Remaining Useful Life Prediction</a></td></tr> <tr class="even"> <td>2018</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=A+Privacy+Preserving+Bayesian+Optimization+with+High+Efficiency">A Privacy Preserving Bayesian Optimization with High Efficiency</a></td></tr> <tr class="odd"> <td>2018</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Cross-Domain+Sentiment+Classification+via+A+Bifurcated-LSTM">Cross-Domain Sentiment Classification via A Bifurcated-LSTM</a></td></tr> <tr class="even"> <td>2018</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Distributed+representation+of+multi-sense+words%3A+A+loss+driven+approach">Distributed representation of multi-sense words: A loss driven approach</a></td></tr> <tr class="odd"> <td>2017</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Convolutional+Bi-Directional+LSTM+for+Detecting+Inappropriate+Query+Suggestions+in+Web+Search">Convolutional Bi-Directional LSTM for Detecting Inappropriate Query Suggestions in Web Search</a></td></tr> <tr class="even"> <td>2017</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Stable+Bayesian+Optimization">Stable Bayesian Optimization</a></td></tr> <tr class="odd"> <td>2017</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Energy-Based+Localized+Anomaly+Detection+in+Video+Surveillance">Energy-Based Localized Anomaly Detection in Video Surveillance</a></td></tr> <tr class="even"> <td>2016</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Frequent+Pattern+Outlier+Detection+without+Exhaustive+Mining">Frequent Pattern Outlier Detection without Exhaustive Mining</a></td></tr> </tbody> </table><div class="pager">Go to page: <ul id="yw4" class="yiiPager"><li class="first hidden"><a href="/conference/157"><< First</a></li> <li class="previous hidden"><a href="/conference/157">< Previous</a></li> <li class="page selected"><a href="/conference/157">1</a></li> <li class="page"><a href="/conference/157?page=2">2</a></li> <li class="page"><a 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(135)</a></td><td>2021</td></tr> <tr class="odd"> <td><a href="/researcher/2241">Philippe Fournier-Viger (121)</a></td><td>2020</td></tr> <tr class="even"> <td><a href="/researcher/23535">Zhang Hongye (369)</a></td><td>2020</td></tr> <tr class="odd"> <td><a href="/researcher/22847">Lin Lin (1722)</a></td><td>2020</td></tr> <tr class="even"> <td><a href="/researcher/21201">Jane Jie (153)</a></td><td>2020</td></tr> <tr class="odd"> <td><a href="/researcher/19885">Zijin Chen (844)</a></td><td>2020</td></tr> <tr class="even"> <td><a href="/researcher/18024">Jing Yun (652)</a></td><td>2020</td></tr> <tr class="odd"> <td><a href="/researcher/25830">Xin Wang (280)</a></td><td>2020</td></tr> <tr class="even"> <td><a href="/researcher/19987">Maxwell Nee (2865)</a></td><td>2019</td></tr> <tr class="odd"> <td><a href="/researcher/21778">Li Jinze (478)</a></td><td>2019</td></tr> <tr class="even"> <td><a href="/researcher/18369">Lijun Lin (759)</a></td><td>2019</td></tr> <tr class="odd"> <td><a href="/researcher/4416">Guang Yang (903)</a></td><td>2019</td></tr> <tr class="even"> <td><a href="/researcher/20862">Ran Wang (13)</a></td><td>2019</td></tr> <tr class="odd"> <td><a href="/researcher/20003">Zhu Zhirui (4)</a></td><td>2019</td></tr> <tr class="even"> <td><a href="/researcher/16655">Yun Liu (97)</a></td><td>2019</td></tr> <tr class="odd"> <td><a href="/researcher/16910">Zhang Junwei (1240)</a></td><td>2019</td></tr> <tr class="even"> <td><a href="/researcher/13872">Zebin Wu (1135)</a></td><td>2019</td></tr> <tr class="odd"> <td><a href="/researcher/16068">Ren Xueshuang (506)</a></td><td>2019</td></tr> <tr class="even"> <td><a href="/researcher/13896">Sueca Pan (338)</a></td><td>2019</td></tr> <tr class="odd"> <td><a href="/researcher/16513">Zhao 佳利 (62)</a></td><td>2019</td></tr> <tr class="even"> <td><a href="/researcher/14154">Lawrence Guo (702)</a></td><td>2019</td></tr> <tr class="odd"> <td><a href="/researcher/14734">Yi Xiang (225)</a></td><td>2019</td></tr> <tr class="even"> <td><a href="/researcher/2617">Shuai Xu (1678)</a></td><td>2018</td></tr> <tr class="odd"> <td><a href="/researcher/11507">Liu Chenxu (8)</a></td><td>2018</td></tr> <tr class="even"> <td><a href="/researcher/7638">Ming Li (822)</a></td><td>2018</td></tr> <tr class="odd"> <td><a href="/researcher/11238">Hailin Fu (203)</a></td><td>2018</td></tr> <tr class="even"> <td><a href="/researcher/10371">Lin Peng (77)</a></td><td>2018</td></tr> <tr class="odd"> <td><a href="/researcher/10808">Linag Zheng (141)</a></td><td>2018</td></tr> <tr class="even"> <td><a href="/researcher/4841">Yuan Yuan (14220)</a></td><td>2018</td></tr> <tr class="odd"> <td><a href="/researcher/10474">Yue Chongyang (27)</a></td><td>2018</td></tr> <tr class="even"> <td><a href="/researcher/4841">Yuan Yuan (14220)</a></td><td>2017</td></tr> <tr class="odd"> <td><a href="/researcher/5926">Guo Bo (1523)</a></td><td>2017</td></tr> <tr class="even"> <td><a href="/researcher/5948">Ximan Chen (159)</a></td><td>2017</td></tr> <tr class="odd"> <td><a href="/researcher/5474">Alience Li (801)</a></td><td>2017</td></tr> <tr class="even"> <td><a href="/researcher/5879">NAN GAO (9)</a></td><td>2017</td></tr> <tr class="odd"> <td><a href="/researcher/2672">Hnu Cbw (15)</a></td><td>2016</td></tr> <tr class="even"> <td><a href="/researcher/493">Liang Yao (1854)</a></td><td>2015</td></tr> <tr class="odd"> <td><a href="/researcher/1001">Guang Yang (2)</a></td><td>2015</td></tr> <tr class="even"> <td><a href="/researcher/826">Jizhi Chen (2)</a></td><td>2015</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/157"><span>69305</span><span>68876</span><span>62113</span><span>62028</span><span>61733</span><span>61140</span><span>61312</span><span>44861</span><span>53761</span><span>52796</span><span>54143</span><span>41911</span><span>50473</span><span>53475</span><span>24416</span><span>53520</span><span>53517</span><span>42384</span><span>40190</span><span>41950</span><span>42566</span><span>42231</span><span>42078</span><span>39528</span><span>36018</span><span>41907</span><span>40318</span><span>38502</span><span>20012</span><span>37234</span><span>2241</span><span>155</span><span>25986</span><span>21901</span><span>34396</span><span>7113</span><span>1067</span><span>31121</span><span>33190</span><span>33001</span><span>2241</span><span>23535</span><span>22847</span><span>21201</span><span>19885</span><span>18024</span><span>25830</span><span>19987</span><span>21778</span><span>18369</span><span>4416</span><span>20862</span><span>20003</span><span>16655</span><span>16910</span><span>13872</span><span>16068</span><span>13896</span><span>16513</span><span>14154</span><span>14734</span><span>2617</span><span>11507</span><span>7638</span><span>11238</span><span>10371</span><span>10808</span><span>4841</span><span>10474</span><span>4841</span><span>5926</span><span>5948</span><span>5474</span><span>5879</span><span>2672</span><span>493</span><span>1001</span><span>826</span></div> 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