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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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<title data-react-helmet="true">ADMA 2022 - Brisbane, Australia</title>
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<h2 id = 'welcome' class="pt-9 mb-5 font-titleFont text-3xl text-mainPurple font-extrabold">Programme</h2>
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Welcome to ADMA 2022
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<td class = 'j_detail_table_title j_info_table_conetnt'>Programme Venue:</td>
<td id = 'domain' class = 'j_detail_table_title' style = 'width: 40%; padding-left: 10px; padding-right: 10px; vertical-align: top;'>
Priestley Building (building 67), Cooper Rd, St Lucia, QLD, 4067
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Time
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Monday 28/11/2022
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Tuesday 29/11/2022
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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 Weitong Chen
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Keynote IV - Chair: Guangdong Bai
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-
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<td class = 'j_program_table_column_other j_br j_opening_color' colspan = "2">
ADMA
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<td class = 'j_program_table_column_other j_br j_keynote_color' colspan = "2" style = "line-height: 17px !important; font-style: italic;">
Balancing Privacy and Utility in Database Fragmentation
</td>
<td class = 'j_program_table_column_other j_br j_keynote_color' colspan = "2" style = "line-height: 17px !important; font-style: italic;">
Machine Learning for Interactive Systems
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9:30am
</td>
<td class = 'j_program_table_column_other j_br j_opening_color' colspan = "2" style = 'font-size: 10px !important; line-height: 17px;'>
Prof. Xue: Open Speech, Dr. Tony: Committee Report, Dr. Guangdong: Local Logistic
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<td class = 'j_program_table_column_other j_br j_keynote_color' colspan = "2">
Prof. Hua Wang
</td>
<td class = 'j_program_table_column_other j_br j_keynote_color' colspan = "2">
Prof. Ling Chen
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</td>
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Keynote I - Chair: Xue Li
</td>
<td class = 'j_program_table_column_other j_br j_keynote_color' colspan = "2" style = "font-style: italic;">
Room 145 - Priestley Building (67)
</td>
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Room 145 - Priestley Building (67)
</td>
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<td class = 'j_program_table_column_1 j_bl j_br'>
10:00am
</td>
<td class = 'j_program_table_column_other j_br j_keynote_color' colspan = "2" style = "line-height: 17px !important; font-style: italic;">
Exploring Online Social Networks: Graph Algorithms and Systems
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Morning Tea
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Morning Tea
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-
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Prof. Jeffrey Yu
</td>
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<td class = 'j_program_table_column_1 j_bl j_br'>
10:30am
</td>
<td class = 'j_program_table_column_other j_br j_keynote_color' colspan = "2">
Room 145 - Priestley Building (67)
</td>
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<tr class = 'j_program_table_line'>
<td class = 'j_program_table_column_1 j_bt j_bl j_br'>
10:30am
</td>
<td class = 'j_program_table_column_other j_bt j_br' colspan = "2" rowspan = "3">
Morning Tea
</td>
<td id = 's7_table' class = 'j_program_table_column_other j_bt j_br j_session_color' rowspan = "9" onmouseenter = 'show_pop_up_window("pop_up_s7")' onmousemove = 'show_pop_up_window("pop_up_s7", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s7")'>
Data Mining Theory
<br><br>
Room 145 - Priestley Building (67)
</td>
<td id = 's4_table' class = 'j_program_table_column_other j_bt j_br j_session_color' rowspan = "9" onmouseenter = 'show_pop_up_window("pop_up_s4")' onmousemove = 'show_pop_up_window("pop_up_s4", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s4")'>
Image, Multimedia and Time Series Data Mining
<br><br>
Room 146 - Priestley Building (67)
</td>
<td id = 's3_table' class = 'j_program_table_column_other j_bt j_br j_session_color' rowspan = "9" onmouseenter = 'show_pop_up_window("pop_up_s3")' onmousemove = 'show_pop_up_window("pop_up_s3", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s3")'>
Text Mining
<br><br>
Room 145 - Priestley Building (67)
</td>
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Finance and Healthcare
<br><br>
Room 146 - Priestley Building (67)
<br><br>
<a href = 'https://uqz.zoom.us/j/87459273777' style = 'text-decoration: underline;'><b>Zoom: 87459273777</b><br>Click to Join</a>
</td>
</tr>
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<td class = 'j_program_table_column_1 j_bl j_br'>
-
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11:00am
</td>
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11:00am
</td>
<td class = 'j_program_table_column_other j_bt j_br j_keynote_color' colspan = "2" style = "line-height: 17px;" rowspan = "6">
Keynote II - Chair: Jianxin 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)
</td>
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<tr class = 'j_program_table_line'>
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-
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11:30am
</td>
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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>
Level 1 - Priestley Building (67)
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-
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1:30pm
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1:30pm
</td>
<td id = 's1_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_s1")' onmousemove = 'show_pop_up_window("pop_up_s1", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s1")'>
Pattern Mining
<br>
Room 145 - Priestley Building (67)
</td>
<td class = 'j_program_table_column_other j_bt j_br j_workshop_color' rowspan = "9" style = "font-style: italic; line-height: 17px; padding-top: 5px; padding-bottom: 5px;">
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 Pang</strong> (Singapore Management University)<br><br>
<a href = 'https://uqz.zoom.us/j/83321126864' style = 'text-decoration: underline;'><b>Zoom: 83321126864</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", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s5")'>
Classification, Clustering and Recommendation
<br>
Room 145 - Priestley Building (67)
</td>
<td class = 'j_program_table_column_other j_bt j_br j_workshop_color' rowspan = "9" style = "font-style: italic; line-height: 17px; padding-top: 5px; padding-bottom: 5px;">
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/87459273777' style = 'text-decoration: underline;'><b>Zoom: 87459273777</b><br>Click to Join</a>
</td>
<td id = 's9_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_s9")' onmousemove = 'show_pop_up_window("pop_up_s9", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s9")'>
Web and IoT Applications
<br>
Room 145 - Priestley Building (67)
<br><br>
<a href = 'https://uqz.zoom.us/j/88450392721' style = 'text-decoration: underline;'><b>Zoom: 88450392721</b><br>Click to Join</a>
</td>
<td class = 'j_program_table_column_other j_bt j_br j_workshop_color' rowspan = "9" style = "font-style: italic; line-height: 17px; padding-top: 5px; padding-bottom: 5px;">
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><strong>Regina Berretta</strong> (University of Newcastle)
<br><strong>Lina Yao</strong> (Data61, CSIRO)
<br><strong>Wei Zhang</strong> (University of Adelaide)
<br><strong>Abigail Koay</strong> (University of Queensland)<br><br>
<a href = 'https://uqz.zoom.us/j/87459273777' style = 'text-decoration: underline;'><b>Zoom: 87459273777</b><br>Click to Join</a>
</td>
</tr>
<tr class = 'j_program_table_line'>
<td class = 'j_program_table_column_1 j_bl j_br'>
-
</td>
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2:00pm
</td>
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2:00pm
</td>
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-
</td>
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2:30pm
</td>
</tr>
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<td class = 'j_program_table_column_1 j_bl j_br'>
2:30pm
</td>
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-
</td>
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3:00pm
</td>
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<td class = 'j_program_table_column_1 j_bl j_bt j_br'>
3:00pm
</td>
<td class = 'j_program_table_column_other j_bt j_br' rowspan = "3" colspan = "2">
Afternoon Tea
</td>
<!-- <td class = 'j_program_table_column_other j_bt j_br j_cires_color' rowspan = "3">
CIRES DEMO
</td> -->
<td class = 'j_program_table_column_other j_bt j_br' rowspan = "3" colspan = "2">
Afternoon Tea
</td>
<!-- <td class = 'j_program_table_column_other j_bt j_br j_cires_color' rowspan = "3">
CIRES DEMO
</td> -->
<td class = 'j_program_table_column_other j_bt j_br' rowspan = "3" colspan = "2">
Afternoon Tea
</td>
<!-- <td class = 'j_program_table_column_other j_bt j_br j_cires_color' rowspan = "3">
CIRES DEMO
</td> -->
</tr>
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-
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3:30pm
</td>
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<td class = 'j_program_table_column_1 j_bl j_bt j_br'>
3:30pm
</td>
<td id = 's2_table' class = 'j_program_table_column_other j_bt j_br j_session_color' rowspan = "9" onmouseenter = 'show_pop_up_window("pop_up_s2")' onmousemove = 'show_pop_up_window("pop_up_s2", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s2")'>
Graph Mining
<br>
Room 145 - Priestley Building (67)
</td>
<td class = 'j_program_table_column_other j_bt j_br j_workshop_color' rowspan = "9" style = "font-style: italic; line-height: 17px; padding-top: 5px; padding-bottom: 5px;">
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/83321126864' style = 'text-decoration: underline;'><b>Zoom: 83321126864</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", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s6")'>
Multi-objective, Optimization, Augmentation, and Database
<br>
Room 145 - Priestley Building (67)
</td>
<td class = 'j_program_table_column_other j_bt j_br j_workshop_color' rowspan = "9" style = "font-style: italic; line-height: 17px; padding-top: 5px; padding-bottom: 5px;">
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/87459273777' style = 'text-decoration: underline;'><b>Zoom: 87459273777</b><br>Click to Join</a>
</td>
<td id = 's10_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_s10")' onmousemove = 'show_pop_up_window("pop_up_s10", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s10")'>
On-device Application
<br>
Room 145 - Priestley Building (67)
<br><br>
<a href = 'https://uqz.zoom.us/j/88450392721' style = 'text-decoration: underline;'><b>Zoom: 88450392721</b><br>Click to Join</a>
</td>
<td id = 's11_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_s11")' onmousemove = 'show_pop_up_window("pop_up_s11", 1)' onmouseleave = 'hide_pop_up_window("pop_up_s11")'>
Data ming Applications
<br>
Room 146 - Priestley Building (67)
<br><br>
<a href = 'https://uqz.zoom.us/j/87459273777' style = 'text-decoration: underline;'><b>Zoom: 87459273777</b><br>Click to Join</a>
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4:00pm
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4:00pm
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4:30pm
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4:30pm
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5:10pm
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6:00pm
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Conference Reception
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Terrace Room in the Sir Llew Edwards Building (14)
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Conference Banquet and Award Function
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Main Dining Room, Patina at Alumni Court, St Lucia QLD 4072
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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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Conference Close
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8:30pm
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8:30pm
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9:30pm
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<strong>Papers in Pattern Mining Session</strong>
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<strong>22</strong>
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<strong>An Efficient Method for Outlying Aspect Mining based on Genetic Algorithm</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>26</strong>
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<strong>Effective Mining of Contrast Hybrid Patterns from Nominal-numerical Mixed Data</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>97</strong>
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<strong>TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>125</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>164</strong>
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<strong>Mining ε-closed high utility co-location patterns from spatial data</strong>
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<strong>122</strong>
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<strong>Mining Maximal Sub-prevalent Co-location patterns based on k-hop</strong>
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<strong>Papers in Graph Mining Session</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>20</strong>
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<strong>EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>21</strong>
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<strong>Deterministic Graph-Walking Program Mining</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>42</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>113</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>Multi-view Gated Graph Convolutional Network for Aspect-Level Sentiment Classification</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>126</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>Decentralized Graph Processing for Reachability Queries</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>145</strong>
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<strong>Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>158</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>A Distributed SAT-based Framework for Closed Frequent Itemset Mining</strong>
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<strong>Papers in Text Mining Session</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>186</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>Towards Idea Mining: Problem-Solution Phrases Extraction from Text</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>188</strong>
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<strong>Spam Email Categorization with NLP and using Federated Deep Learning</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>123</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>SePass: Semantic Password Guessing using k-nn Similarity Search in Word Embeddings</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>116</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>DeMRC: Dynamically Enhanced Multi-hop Reading Comprehension Model for Low Data</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>72</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>ESTD: Empathy Style Transformer with Discriminative mechanism</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>115</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>Detection Method of User Behavior Transition on Computer</strong>
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<strong>Papers in Image, Multimedia and Time Series Data Mining Session</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>32</strong>
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<td style = "padding: 2px; vertical-align: text-top;">
<strong>Ensemble Image Super-resolution CNNs for Small Data and Diverse Compressive Models</strong>
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<td style = "padding: 2px; padding-right:10px; vertical-align: text-top;">
<strong>120</strong>