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<!DOCTYPE html>
<html lang="en">
<head>
<meta charSet="utf-8"/>
<meta http-equiv="x-ua-compatible" content="ie=edge"/>
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no, maximum-scale=1"/>
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e&&document.body.addEventListener("load",(function(e){if(void 0===e.target.dataset.mainImage)return;if(void 0===e.target.dataset.gatsbyImageSsr)return;const t=e.target;let a=null,n=t;for(;null===a&&n;)void 0!==n.parentNode.dataset.gatsbyImageWrapper&&(a=n.parentNode),n=n.parentNode;const o=a.querySelector("[data-placeholder-image]"),r=new Image;r.src=t.currentSrc,r.decode().catch((()=>{})).then((()=>{t.style.opacity=1,o&&(o.style.opacity=0,o.style.transition="opacity 500ms linear")}))}),!0);
</script>
<meta name="theme-color" content="#51247a"/>
<title data-react-helmet="true">ADMA 2022 - Brisbane, Australia</title>
<script type = "text/javascript" src = './js/paper_search_dev.js'></script>
</head>
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<a class="font-headingStyle hover:bg-gray-100 py-1.5 px-4 block whitespace-no-wrap text-orgSmall" title="Programme" href="/programme.html">Programme</a>
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</a>
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<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Camera Ready Guidelines</span>
</a>
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<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Presentation Guidelines</span>
</a>
<a class="flex item-center w-full" title="Submission Guidelines" href="/submission_guidelines.html">
<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Submission Guidelines</span>
</a>
<a class="flex item-center w-full" title="Accepted Papers" href="/accepted_papers_oral.html">
<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Oral Presentation Papers</span>
</a>
<a class="flex item-center w-full" title="Accepted Papers" href="/accepted_papers_poster.html">
<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Poster Presentation Papers</span>
</a>
<a class="flex item-center w-full" title="Organisation" href="/organisation.html">
<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Organisation</span>
</a>
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<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Registration Guidelines</span>
</a>
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<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">VISA</span>
</a>
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<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Local Accommondations</span>
</a>
<a class="flex item-center w-full" title="Attractions" href="/attractions.html">
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</a>
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</a>
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<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Speakers</span>
</a>
<a class="flex item-center w-full" title="Previous ADMA" href="/previous_adma.html">
<span class="pl-8 pr-4 py-2 w-full text-white block rounded-md text-base font-semibold font-headingStyle">Previous ADMA</span>
</a>
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<main class="w-full">
<div class="global-wrapper pb-12" style="max-width:70rem;" id="welcome">
<header class="px-0 sm:px-7">
<h2 id = 'welcome' class="pt-9 mb-5 font-titleFont text-3xl text-mainPurple font-extrabold">Programme</h2>
<table cellpadding = '0' style = "border-collapse: collapse; width: 100% !important;">
<tbody>
<tr class = 'j_program_table_line'>
<td class = 'j_program_table_column_1 j_bl j_br j_bt'>
Time
</td>
<td class = 'j_program_table_column_other j_br j_bt' colspan = "2">
Monday 28/11/2022
</td>
<td class = 'j_program_table_column_other j_br j_bt' colspan = "2">
Tuesday 29/11/2022
</td>
<td class = 'j_program_table_column_other j_br j_bt' colspan = "2">
Wednesday 30/11/2012
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8:30am<br>-<br>9:00am
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Registration
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Registration
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Registration
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Reception
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Reception
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Reception
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<a href = 'https://uqz.zoom.us/j/88450392721' style = 'text-decoration: underline;'><b>https://uqz.zoom.us/j/88450392721</b></a>
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<a href = 'https://uqz.zoom.us/j/88450392721' style = 'text-decoration: underline;'><b>https://uqz.zoom.us/j/88450392721</b></a>
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<a href = 'https://uqz.zoom.us/j/88450392721' style = 'text-decoration: underline;'><b>https://uqz.zoom.us/j/88450392721</b></a>
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9:00am
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Opening Session
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Keynote III - Chair: Tony Chen
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Keynote IV - Chair: Guangdong Bai
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-
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ADMA
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Balancing Privacy and Utility in Database Fragmentation
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Machine Learning for Interactive Systems
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9:30am
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Prof. Xue: Open Speech, Dr. Tony: Committee Report, Dr. Guangdong: Local Logistic
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Prof. Hua Wang
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Prof. Ling Chen
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Keynote I - Chair: Xue Li
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Room 145 - Priestley Building (67)
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Room 145 - Priestley Building (67)
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10:00am
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Exploring Online Social Networks: Graph Algorithms and Systems
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Morning Tea<br><br>
Location TBA
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Morning Tea<br><br>
Location TBA
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-
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Prof. Jeffrey Yu
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10:30am
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Room 145 - Priestley Building (67)
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10:30am
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Morning Tea<br><br>
Location TBA
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Data Mining Theory
<br><br>
Room 145 - Priestley Building (67)
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Image, Multimedia and Time Series Data Mining
<br><br>
Room 146 - Priestley Building (67)
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Text Mining
<br><br>
Room 145 - Priestley Building (67)
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Finance and Healthcare
<br><br>
Room 146 - Priestley Building (67)
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-
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11:00am
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11:00am
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Keynote II - Chair: Jiaxin Li<br><br>
Smart Medicine: Medical Big Data / AI with Innovative Applications in Patient Monitoring, Disease Diagnosis, Prediction and Health Management<br><br>
Prof. Yanchun Zhang<br><br>
Room 145 - Priestley Building (67)
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-
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11:30am
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11:30am
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-
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12:10pm
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12:10pm
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Lunch <br><br>
Location TBA
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-
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1:30pm
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1:30pm
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Pattern Mining
<br>
Room 145 - Priestley Building (67)
</td>
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Workshop 1 <br>Room 146 - Priestley Building (67)<br><br>
How to Select Shallow and Deep Methods for Anomaly Detection
<br><br>
<strong>YE ZHU</strong> (Deakin University)*<br><strong>Guansong Peng</strong> (Singapore Management University)<br><br>
<a href = 'https://uqz.zoom.us/j/84311150769' style = 'text-decoration: underline;'><b>Zoom: 84311150769</b><br>Click to Join</a>
</td>
<td id = 's5_table' style = 'z-index: 999;' class = 'j_program_table_column_other j_bt j_br j_session_color' rowspan = "9" onmouseenter = 'show_pop_up_window("pop_up_s5")' onmousemove = 'show_pop_up_window("pop_up_s5")' onmouseleave = 'hide_pop_up_window("pop_up_s5")'>
Classification, Clustering and Recommendation
<br>
Room 145 - Priestley Building (67)
</td>
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Workshop 3 <br>Room 146 - Priestley Building (67)<br><br>
Data Mining Applications in Healthcare and their Implications
<br><br>
<strong>Xiaohui Tao</strong> (The University of Southern Queensland)*<br><strong>Yuefeng Li</strong> (Queensland University of Technology)<br><strong>Srinivas Kondalsamy Chennakesavan</strong> (The University of Queensland)<br><br>
<a href = 'https://uqz.zoom.us/j/84311150769' style = 'text-decoration: underline;'><b>Zoom: 84311150769</b><br>Click to Join</a>
</td>
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Web and IoT Applications
<br>
Room 145 - Priestley Building (67)
</td>
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Workshop 5 <br>Room 146 - Priestley Building (67)<br><br>
Women in Computer Science
<br><br>
<strong>Lin Yue</strong> (University of Newcastle)*<br><strong>Miao Xu</strong> (The University of Queensland)<br><br>
<a href = 'https://uqz.zoom.us/j/84311150769' style = 'text-decoration: underline;'><b>Zoom: 84311150769</b><br>Click to Join</a>
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-
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2:00pm
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2:00pm
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-
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2:30pm
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2:30pm
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-
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3:00pm
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3:00pm
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Afternoon Tea
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<!-- <td class = 'j_program_table_column_other j_bt j_br j_cires_color' rowspan = "3">
CIRES DEMO
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Afternoon Tea
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<!-- <td class = 'j_program_table_column_other j_bt j_br j_cires_color' rowspan = "3">
CIRES DEMO
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Afternoon Tea
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CIRES DEMO
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-
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3:30pm
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3:30pm
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Graph Mining
<br>
Room 145 - Priestley Building (67)
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Workshop 2 <br>Room 146 - Priestley Building (67)<br><br>
Evolving Subgraph Computation and its Applications
<br><br>
<strong>Jianxin Li</strong> (Deakin University)*<br><br>
<a href = 'https://uqz.zoom.us/j/84311150769' style = 'text-decoration: underline;'><b>Zoom: 84311150769</b><br>Click to Join</a>
</td>
<td id = 's6_table' style = 'z-index: 999;' class = 'j_program_table_column_other j_bt j_br j_session_color' rowspan = "9" onmouseenter = 'show_pop_up_window("pop_up_s6")' onmousemove = 'show_pop_up_window("pop_up_s6")' onmouseleave = 'hide_pop_up_window("pop_up_s6")'>
Multi-objective, Optimization, Augmentation, and Database
<br>
Room 145 - Priestley Building (67)
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Workshop 4 <br>
Room 146 - Priestley Building (67)<br><br>
Recent Advances and Challenges in Membership Inference Attacks on Machine Learning
<br><br>
<strong>Xuyun Zhang</strong> (Macquarie University)*<br><strong>Hongsheng Hu</strong> (Data61, CSIRO)<br><br>
<a href = 'https://uqz.zoom.us/j/84311150769' style = 'text-decoration: underline;'><b>Zoom: 84311150769</b><br>Click to Join</a>
</td>
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On-device Application
<br>
Room 145 - Priestley Building (67)
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Data ming Applications
<br>
Room 146 - Priestley Building (67)
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-
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4:00pm
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4:00pm
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-
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4:30pm
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4:30pm
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-
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5:10pm
</td>
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<td class = 'j_program_table_column_1 j_bl j_bt j_br'>
7:30pm
</td>
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Conference Reception
<br>
Terrace Room in the Sir Llew Edwards Building (14)
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Conference Banquet and Award Function
<br>
Main Dining Room, Patina at Alumni Court, St Lucia QLD 4072
<br><br>
<a href = 'https://uqz.zoom.us/j/88450392721' style = 'text-decoration: underline;'><b>https://uqz.zoom.us/j/88450392721</b></a>
</td>
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Conference Close
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-
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8:30pm
</td>
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8:30pm
</td>
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</td>
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-
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9:30pm
</td>
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<td style = 'padding: 2px; text-align: center; vertical-align: text-top;' colspan = "2">
<strong>Papers in Pattern Mining Session</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right: 10px; vertical-align: text-top;">
<strong>22</strong>
</td>
<td style = 'padding: 2px; vertical-align: text-top;'>
<strong>An Efficient Method for Outlying Aspect Mining based on Genetic Algorithm</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>26</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Effective Mining of Contrast Hybrid Patterns from Nominal-numerical Mixed Data</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>97</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>125</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>164</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Mining ε-closed high utility co-location patterns from spatial data</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>122</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Mining Maximal Sub-prevalent Co-location patterns based on k-hop</strong>
</td>
</tr>
</tbody>
</table>
</div>
<div id = 'pop_up_s2' class = 'j_pop_up j_table_not_display j_uq_color_bg'>
<table cellpadding = '0' style = "border-collapse: collapse; width: 100% !important;">
<tbody>
<tr>
<td style = 'padding: 2px; text-align: center; vertical-align: text-top;' colspan = "2">
<strong>Papers in Graph Mining Session</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>20</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>21</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Deterministic Graph-Walking Program Mining</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>42</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>113</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Multi-view Gated Graph Convolutional Network for Aspect-Level Sentiment Classification</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>126</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Decentralized Graph Processing for Reachability Queries</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>145</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>158</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>A Distributed SAT-based Framework for Closed Frequent Itemset Mining</strong>
</td>
</tr>
</tbody>
</table>
</div>
<div id = 'pop_up_s3' class = 'j_pop_up j_table_not_display j_uq_color_bg'>
<table cellpadding = '0' style = "border-collapse: collapse; width: 100% !important;">
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<td style = 'padding: 2px; text-align: center;' colspan = "2">
<strong>Papers in Text Mining Session</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>186</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Towards Idea Mining: Problem-Solution Phrases Extraction from Text</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>188</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Spam Email Categorization with NLP and using Federated Deep Learning</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>123</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>SePass: Semantic Password Guessing using k-nn Similarity Search in Word Embeddings</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>116</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>DeMRC: Dynamically Enhanced Multi-hop Reading Comprehension Model for Low Data</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>72</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>ESTD: Empathy Style Transformer with Discriminative mechanism</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>115</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Detection Method of User Behavior Transition on Computer</strong>
</td>
</tr>
</tbody>
</table>
</div>
<div id = 'pop_up_s4' class = 'j_pop_up j_table_not_display j_uq_color_bg'>
<table cellpadding = '0' style = "border-collapse: collapse; width: 100% !important;">
<tbody>
<tr>
<td style = 'padding: 2px; text-align: center;' colspan = "2">
<strong>Papers in Image, Multimedia and Time Series Data Mining Session</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>32</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Ensemble Image Super-resolution CNNs for Small Data and Diverse Compressive Models</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>120</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Optimizing MobileNetV2 Architecture Using Split Input and Layer Replications for 3D Face Recognition Task</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>175</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>GANs for Automatic Generation of Data Plots</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>150</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>160</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Information Mining from Images of Pipeline Based on Knowledge Representation and Reasoning</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>169</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Binary Gravitational Subspace Search for Outlier Detection in High Dimensional Data Streams</strong>
</td>
</tr>
</tbody>
</table>
</div>
<div id = 'pop_up_s5' class = 'j_pop_up j_table_not_display j_uq_color_bg'>
<table cellpadding = '0' style = "border-collapse: collapse; width: 100% !important;">
<tbody>
<tr>
<td style = 'padding: 2px; text-align: center;' colspan = "2">
<strong>Papers in Classification, Clustering and Recommendation Session</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>2</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Signal Classification using Smooth Coefficients of Multiple Wavelets to Achieve High Accuracy from Compressed Representation of Signal</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>5</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>On Reducing the Bias of Random Forest</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>4</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>A collaborative filtering recommendation method integrating user profiles</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>16</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>A Quality Metric for K-Means Clustering Based on Centroid Locations</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>25</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Clustering Method for Touristic Photographic Spots Recommendation</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>29</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>Personalized Federated Learning with Robust Clustering against Model Poisoning</strong>
</td>
</tr>
<tr>
<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>40</strong>
</td>
<td style = "padding: 2px; vertical-align: text-top;">
<strong>A Data-Driven Framework for Driving Style Classification</strong>