Data Mining

Description

This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017. The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications. Front Matter ....Pages I-XII Front Matter ....Pages 1-1 Similarity Majority Under-Sampling Technique for Easing Imbalanced Classification Problem (Jinyan Li, Simon Fong, Shimin Hu, Raymond K. Wong, Sabah Mohammed)....Pages 3-23 Rank Forest: Systematic Attribute Sub-spacing in Decision Forest (Zaheer Babar, Md Zahidul Islam, Sameen Mansha)....Pages 24-37 Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets (Malika Bendechache, Nhien-An Le-Khac, M-Tahar Kechadi)....Pages 38-56 Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification (Soheila Gheisari, Daniel R. Catchpoole, Amanda Charlton, Paul J. Kennedy)....Pages 57-71 An Improved Naive Bayes Classifier-Based Noise Detection Technique for Classifying User Phone Call Behavior (Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han)....Pages 72-85 Front Matter ....Pages 87-87 A Two-Sample Kolmogorov-Smirnov-Like Test for Big Data (Hien D. Nguyen)....Pages 89-106 Exploiting Redundancy, Recurrency and Parallelism: How to Link Millions of Addresses with Ten Lines of Code in Ten Minutes (Yuhang Zhang, Tania Churchill, Kee Siong Ng)....Pages 107-122 Front Matter ....Pages 123-123 SD-HOC: Seasonal Decomposition Algorithm for Mining Lagged Time Series (Irvan B. Arief-Ang, Flora D. Salim, Margaret Hamilton)....Pages 125-143 An Incremental Anytime Algorithm for Mining T-Patterns from Event Streams (Keith Johnson, Wei Liu)....Pages 144-157 Front Matter ....Pages 159-159 Detection of Outlier Behaviour Amongst Health/Medical Providers Servicing TAC Clients (Musa Mammadov, Rob Muspratt, Julien Ugon)....Pages 161-172 Distributed Detection of Zero-Day Network Traffic Flows (Yuantian Miao, Lei Pan, Sutharshan Rajasegarar, Jun Zhang, Christopher Leckie, Yang Xiang)....Pages 173-191 False Data Injection Attacks in Healthcare (Mohiuddin Ahmed, Abu S. S. M. Barkat Ullah)....Pages 192-202 Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data (Md. Shahidul Islam, Russel Pears, Boris Bačić)....Pages 203-219 Front Matter ....Pages 221-221 Collaborative Filtering in an Offline Setting Case Study: Indonesia Retail Business (Hamid Dimyati, Ramdisa Agasi)....Pages 223-232 Malicious Behaviour Analysis on Twitter Through the Lens of User Interest (Bandar Alghamdi, Yue Xu, Jason Watson)....Pages 233-249 Meta-Heuristic Multi-objective Community Detection Based on Users’ Attributes (Alireza Moayedekia, Kok-Leong Ong, Yee Ling Boo, William Yeoh)....Pages 250-264 A Semi-supervised Hidden Markov Topic Model Based on Prior Knowledge (Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi)....Pages 265-276 Back Matter ....Pages 277-277