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The papers listed below have been accepted for presentation at AusDM2011. A formal program will be released by Wed 19th October..

AuthorsTitle
Poonam Goyal and Mehala N.Concept Based Query Recommendation
Md Geaur Rahman and Md Zahidul Islam A Decision Tree-based Missing Value Imputation for Data Preprocessing
Adil Bagirov, Andrew Yatsko and Andrew Stranieri Feature Selection using Misclassification Counts
Sona Taheri, Musa Mammadov and Adil M.Bagirov Improving Naive Bayes Classifier Using Conditional Probabilities
Steven Burrows, Benno Stein, Jorg Frocte, David Wiesner and Katja MullerSupporting Bridge Design using Simulation Data Mining
Guohua Liang and Chengqi ZhangEmpirical Study of Bagging Predictors on Medical Data
Alina Van, Valerie Gay, Paul Kennedy, Edward Barin and Peter Leijdekkers Understanding risk factors in cardiac rehabilitation patients with random forests and decision trees
Rui Li, John Roddick and Denise De VriesBands of Privacy Preserving Objectives: Classification of PPDM Strategies
Md Anisur Rahman and Md Zahidul Islam Seed-Detective: A Novel Clustering Technique Using High Quality Seed for K-Means on Categorical and Numerical Attributes
Mamoun Alazab, Sitalakshmi Venkatraman, Paul Watters and Moutaz Alazab Zero-day Malware Detection based on Supervised Learning Algorithms of API call Signatures
Dinusha Vatsalan and Peter Christen An Efficient Two-Party Protocol for Approximate Matching in Private Record Linkage
Mai Shouman, Tim Turner and Rob Stocker Using Decision Tree for Diagnosing Heart Disease Patients
Henry Petersen and Josiah PoonEnhancing Short Text Clustering with Small External Repositories
Zhichun Fu, Peter Christen and Mac Boot A Supervised Learning and Group Linking Method for Historical Census Household Linkage
Calum RobertsonReassembling Multilingual Temporal News Datasets with Incomplete Information
Amal Perera and William PerrizoEFFICIENT K-MEDIAN CLUSTERING WITH BIT SLICED COLUMN DATA
Mahmood Khan, Md Zahidul Islam and Mohsin HafeezIrrigation Water Demand Forecasting – A Data Pre-processing and Data Mining Approach Based on Spatio -
Bismita Srichandan and Rajshekhar SunderramanOO-FSG: An Object-Oriented Approach to Mine Frequent Subgraphs
Mingjian Tang, Sumudu Mendis, Wayne Murray, Yingsong Hu and Alison Sutinen Unsupervised Fraud Detection in Medicare Australia
Sattar Seifollahi, Adil Bagirov and John Yearwood A novel hybrid neural learning algorithm using simulated annealing and quasisecant method
Yingsong Hu, D. Wayne Murray, Alison Sutinen, B. Sumudu U. Mendis and Mingjian TangPrescriber-Consumer Social Network Analysis for Risk Level Re-estimation based on an Asymmetrical Rating Exchange Model
Yanbo Wang Model Selection Strategy for Customer Attrition Risk Prediction in Retail Banking
Zahidul Islam Knowledge Discovery through SysFor - a Systematically Developed Forest of Multiple Decision Trees