Data Mining: 15th Australasian Conference

Data Mining: 15th Australasian Conference Front Cover
0 Reviews
2018-05-28
277 pages

Book Description

This book constitutes the refereed proceedings of the 15th Australasian Conference on , 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.

Table of Contents

Chapter 1. Similarity Majority Under-Sampling Technique for Easing Imbalanced Classification Problem
Chapter 2. Rank Forest: Systematic Attribute Sub-spacing in Decision Forest
Chapter 3. Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets
Chapter 4. Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification
Chapter 5. An Improved Naive Bayes Classifier-Based Noise Detection Technique for Classifying User Phone Call Behavior
Chapter 6. A Two-Sample Kolmogorov-Smirnov-Like Test for Big Data
Chapter 7. Exploiting Redundancy, Recurrency and Parallelism: How to Link Millions of Addresses with Ten Lines of Code in Ten Minutes
Chapter 8. SD-HOC: Seasonal Decomposition for Mining Lagged Time Series
Chapter 9. An Incremental Anytime Algorithm for Mining T- from Event Streams
Chapter 10. Detection of Outlier Behaviour Amongst Health/Medical Providers Servicing TAC Clients
Chapter 11. Distributed Detection of Zero-Day Traffic Flows
Chapter 12. -1False Data Injection Attacks in Healthcare
Chapter 13. Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data
Chapter 14. Collaborative Filtering in an Offline Setting Case Study: Indonesia Retail Business
Chapter 15. Malicious Behaviour on Through the Lens of User Interest
Chapter 16. Meta-Heuristic Multi-objective Community Detection Based on Users’ Attributes
Chapter 17. A Semi-supervised Hidden Markov Topic Model Based on Prior Knowledge

Book Details

  • Title: Data Mining: 15th Australasian Conference
  • Length: 277 pages
  • Edition: 1st ed. 2018
  • Language: English
  • Publisher:
  • Publication Date: 2018-05-28
  • ISBN-10: 981130291X
  • ISBN-13: 9789811302916
File HostFree Download LinkFormatSize (MB)Upload Date
UsersCloud Click to downloadTrue PDF15.804/15/2018
How to Download? Report Dead Links & Get a Copy

Leave a Reply