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ORCID10. AusDM 2012: Sydney, NSW, Australia
- Yanchang Zhao, Jiuyong Li, Paul J. Kennedy, Peter Christen:
Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, Australia, December 5-7, 2012. CRPIT 134, Australian Computer Society 2012, ISBN 978-1-921770-14-2 - Jing Zhang, Derek Liu, Kok-Leong Ong, Zhijie Li, Ming Li:
Detecting Topic Labels for Tweets by Matching Features from Pseudo-Relevance Feedback. 9-20 - Kaimin Yu, Zhe Li, Genliang Guan, Zhiyong Wang, David Dagan Feng:
Unsupervised Text Segmentation using LDA and MCMC. 21-26 - Md Anisur Rahman, Md Zahidul Islam:
CRUDAW: A Novel Fuzzy Technique for Clustering Records Following User Defined Attribute Weights. 27-42 - Kamal Taha:
GOtoGene: A Method for Determining the Functional Similarity among Gene Products. 43-52 - Hamid Ghous, Paul J. Kennedy, Nicholas Ho, Daniel R. Catchpoole:
Functional Visualisation of Genes using Singular Value. 53-60 - Jonathan R. Wells, Kai Ming Ting, Naiwala P. Chandrasiri:
A non-time series approach to vehicle related time series problems. 61-70 - Chao Sun, David Stirling, Christian H. Ritz, Claude Sammut:
Variance-wise Segmentation for a Temporal-Adaptive SAX. 71-78 - Peter Sunehag, Wen Shao, Marcus Hutter:
Coding of Non-Stationary Sources as a Foundation for Detecting Change Points and Outliers in Binary Time-Series. 79-84 - Muhammad Marwan Muhammad Fuad:
ABC-SG: A New Artificial Bee Colony Algorithm-Based Distance of Sequential Data Using Sigma Grams. 85-92 - Andrei V. Kelarev, Andrew Stranieri, John Yearwood, Jemal H. Abawajy, Herbert F. Jelinek:
Improving Classi cations for Cardiac Autonomic Neuropathy Using Multi-level Ensemble Classi ers and Feature Selection Based. 93-102 - M. Sazzad Hussain, Hamed Monkaresi, Rafael A. Calvo:
Combining Classifiers in Multimodal Affect Detection. 103-108 - Dang Bach Bui, Fedja Hadzic, Michael Hecker:
Application of Tree-structured Data Mining for Analysis of Process Logs in XML format. 109-118 - Omar S. Soliman, Roba Bahgat, Amr A. Adly:
Associative Classi cation using a Bio-Inspired Algorithm. 119-126 - Dinusha Vatsalan, Peter Christen:
An Iterative Two-Party Protocol for Scalable Privacy-Preserving Record Linkage. 127-138 - Helen Giggins, Ljiljana Brankovic:
VICUS - A Noise Addition Technique for Categorical Data. 139-148 - Michael Mayo:
Cartesian Genetic Programming for Trading: A Preliminary Investigation. 149-156 - Lavneet Singh, Girija Chetty:
A Comparative Study of MRI Data using Various Machine Learning and Pattern Recognition Algorithms to Detect Brain Abnormalities. 157-166 - Yun Sing Koh, Gillian Dobbie:
Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations. 167-174 - Qinxue Meng, Paul J. Kennedy:
Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks. 175-182 - Endang Djuana, Yue Xu, Yuefeng Li:
Learning Personalized Tag Ontology from User Tagging Information. 183-190 - Jialing Li, Li Li, Xiao Wen, Jianwei Liao:
A Collaborative Filtering Recommendation System Combining Semantics and Bayesian Reasoning. 191-198 - Mahmood A. Khan, Md Zahidul Islam, Mohsin Hafeez:
Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement. 199-208 - Satya Gautam Vadlamudi, Partha Pratim Chakrabarti, Sudeshna Sarkar:
Anytime Algorithms for Mining Groups with Maximum Coverage. 209-220 - Yu-Shiang Hung, Kuei-Ling B. Chen, Chi-Ta Yang, Guang-Feng Deng:
Mining Cluster-based Patterns for Elder Self-care Behavior. 221-228 - Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong:
Data Guided Approach to Generate Multi-dimensional Schema for Targeted Knowledge Discovery. 229-240
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