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Home > Data Mining: 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings > Classifying Imbalanced Road Accident Data Using Recurring Concept Drift
Data Mining: 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings |
Thuc D. Le; Kok-Leong Ong; Yanchang Zhao; Warren H. Jin; Sebastien Wong; Lin Liu; Graham Williams
Springer Nature Singapore
Data Mining: 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift
Authors

Robert Anderson; Yun Sing Koh; Gillian Dobbie

ARI Id

1665227872206_5457999

Access

Not Available Free

Pages

143-155

DOI

10.1007/978-981-15-1699-3_12

Chapter URL

https://rd.springer.com/chapter/10.1007/978-981-15-1699-3_12

Table of Contents of Book
Showing 1 to 20 of 25 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xii
Front Matter
1-1
Improving Clustering via a Fine-Grained Parallel Genetic Algorithm with Information Sharing
Storm Bartlett; Md Zahidul Islam
3-15
A Learning Approach for Ill-Posed Optimisation Problems
Jörg Frochte; Stephen Marsland
16-27
Topic Representation using Semantic-Based Patterns
Dakshi Kapugama Geeganage; Yue Xu; Yuefeng Li
28-40
Outlier Detection Based Accurate Geocoding of Historical Addresses
Nishadi Kirielle; Peter Christen; Thilina Ranbaduge
41-53
SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media
Hung Nguyen; Duc Thanh Nguyen; Thin Nguyen
54-63
Estimating County Health Indices Using Graph Neural Networks
Hung Nguyen; Duc Thanh Nguyen; Thin Nguyen
64-76
Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network
Nguyen Thanh Toan; Orçun Gümüş; Nguyen Thanh Tam; Nguyen Quoc Viet Hung; Rene Hexel; Jun Jo
77-90
Show Me Your Friends and I’ll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions
Martha Tatusch; Gerhard Klassen; Marcus Bravidor; Stefan Conrad
91-103
Applying Softmax Classifiers to Open Set
Darren Webb
104-115
An Efficient Risk Data Learning with LSTM RNN
Ka Yee Wong; Raymond K. Wong
116-128
Using Transfer Learning to Detect Phishing in Countries with a Small Population
Wernsen Wong; Yun Sing Koh; Gillian Dobbie
129-140
Front Matter
141-141
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift
Robert Anderson; Yun Sing Koh; Gillian Dobbie
143-155
Interpretability of Machine Learning Solutions in Industrial Decision Engineering
Inna Kolyshkina; Simeon Simoff
156-170
Customer Wallet Share Estimation for Manufacturers Based on Transaction Data
Xiang Li; Ali Shemshadi; Łukasz P. Olech; Zbigniew Michalewicz
171-182
Curtailing the Tax Leakages by Nabbing Return Defaulters in Taxation System
Priya Mehta; Jithin Mathews; Sandeep Kumar; K. Suryamukhi; Ch Sobhan Babu
183-195
Network Path Estimation in Uncertain Data via Entity Resolution
Dean Philp; Naomi Chan; Wolfgang Mayer
196-207
Interactive Deep Metric Learning for Healthcare Cohort Discovery
Yang Wang; Guodong Long; Xueping Peng; Allison Clarke; Robin Stevenson; Leah Gerrard
208-221
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 25 entries
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