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9. AusDM 2011: Ballarat, Australia
- Peter Vamplew, Andrew Stranieri, Kok-Leong Ong, Peter Christen, Paul J. Kennedy:
Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, Australia, December 2011. CRPIT 121, Australian Computer Society 2011, ISBN 978-1-921770-02-9 - Christopher W. Clifton:
Privacy - Preserving Data Mining at 10: Whats Next? 3 - Hussein A. Abbass:
Mining Big Data Streams: The Fallacy of Blind Correlation and the Importance of Models. 5 - Musa A. Mammadov:
Drug-drug interactions: A Data Mining Approach. 7 - Alina Van, Valérie Gay, Paul J. Kennedy, Edward Barin, Peter Leijdekkers:
Understanding risk factors in cardiac rehabilitation patients with random forests and decision trees. 11-22 - Mai Shouman, Tim Turner, Rob Stocker:
Using Decision Tree for Diagnosing Heart Disease Patients. 23-30 - Guohua Liang, Chengqi Zhang:
Empirical Study of Bagging Predictors on Medical Data. 31-40 - Md. Geaur Rahman, Md Zahidul Islam:
A Decision Tree-based Missing Value Imputation Technique for Data Pre-processing. 41-50 - Adil M. Bagirov, Andrew Yatsko, Andrew Stranieri, Herbert F. Jelinek:
Feature Selection using Misclassification Counts. 51-62 - Sona Taheri, Musa Mammadov, Adil M. Bagirov:
Improving Naive Bayes Classifier Using Conditional Probabilities. 63-68 - Poonam Goyal, N. Mehala:
Concept Based Query Recommendation. 69-78 - Henry Petersen, Josiah Poon:
Enhancing Short Text Clustering with Small External Repositories. 79-90 - Calum S. Robertson:
Reassembling Multilingual Temporal News Datasets with Incomplete Information. 91-102 - MingJian Tang, B. Sumudu U. Mendis, D. Wayne Murray, Yingsong Hu, Alison Sutinen:
Unsupervised Fraud Detection in Medicare Australia. 103-110 - Yingsong Hu, D. Wayne Murray, Yeung Sam Hung, Alison Sutinen, B. Sumudu U. Mendis, MingJian Tang:
Prescriber-Consumer Social Network Analysis for Risk Level Re-estimation based on an Asymmetrical Rating Exchange Model. 111-118 - Fan Li, Juan Lei, Ying Tian, Sakuna Punyapatthanakul, Yanbo J. Wang:
Model Selection Strategy for Customer Attrition Risk Prediction in Retail Banking. 119-124 - Dinusha Vatsalan, Peter Christen, Vassilios S. Verykios:
An Efficient Two-Party Protocol for Approximate Matching in Private Record Linkage. 125-136 - Rui Li, Denise de Vries, John F. Roddick:
Bands of Privacy Preserving Objectives: Classification of PPDM Strategies. 137-152 - Zhichun Fu, Peter Christen, Mac Boot:
A Supervised Learning and Group Linking Method for Historical Census Household Linkage. 153-162 - Steven Burrows, Benno Stein, Jörg Frochte
, David Wiesner, Katja Müller:
Simulation Data Mining for Supporting Bridge Design. 163-170 - Mamoun Alazab, Sitalakshmi Venkatraman, Paul A. Watters, Moutaz Alazab:
Zero-day Malware Detection based on Supervised Learning Algorithms of API call Signatures. 171-182 - Mahmood A. Khan, Md Zahidul Islam, Mohsin Hafeez:
Irrigation Water Demand Forecasting - A Data Pre-Processing and Data Mining Approach based on Spatio-Temporal Data. 183-194 - Md Zahidul Islam, Helen Giggins:
Knowledge Discovery through SysFor - a Systematically Developed Forest of Multiple Decision Trees. 195-204 - John Yearwood, Adil M. Bagirov, Sattar Seifollahi:
A novel hybrid neural learning algorithm using simulated annealing and quasisecant method. 205-210 - Md Anisur Rahman, Md Zahidul Islam:
Seed-Detective: A Novel Clustering Technique Using High Quality Seed for K-Means on Categorical and Numerical Attributes. 211-220 - Bismita Srichandan, Rajshekhar Sunderraman:
OO-FSG: An Object-Oriented Approach to Mine Frequent Subgraphs. 221-228
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