- Efficient Mining of Contrast Patterns and Their Applications to Classification
- Fast algorithms for Mining Emerging Patterns James Bailey, Thomas Manoukian and Kotagiri Ramamohanarao
- Transaction Oriented Computational Models for MultiAgent Systems Kotagiri Ramamohanarao
- Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver
- Under consideration for publication in Knowledge and Information A Binary Decision Diagram Based
- Noname manuscript No. (will be inserted by the editor)
- Generation of Alternative Clusterings Using the CAMI Approach Xuan Hong Dang
- Efficient Incremental Mining of Contrast Patterns in Changing Data
- Feature Weighted SVMs Using Receiver Operating Characteristics Shaoyi Zhang
- Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary?
- Mining Influential Attributes That Capture Class and Group Contrast Behaviour
- Gene Ontology Assisted Exploratory Microarray Clustering and its Application to Cancer
- Mining, Ranking, and Using Acronym Patterns Xiaonan Ji1
- An efficient technique for mining approximately frequent substring patterns Xiaonan Ji and James Bailey
- Fast Mining of High Dimensional Expressive Contrast Patterns Using Zero-Suppressed Binary Decision
- Mining Minimal Contrast Subgraph Patterns Roger Ming Hieng Ting
- Fast Discovery of Interesting Collections of Web Services Zhou Zhu and James Bailey
- Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs
- Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints Xiaonan Ji James Bailey Guozhu Dong
- Transformation and Reaction Rules for Data on the Web James Bailey
- Discovery of Minimal Unsatisfiable Subsets of Constraints Using Hitting Set Dualization
- ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm
- A Framework for Goal-Based Semantic Compensation in Agent Systems
- Discovery of Emerging Patterns and Their Use in Classification
- Using Graph Partitioning to Discover Regions of Correlated Spatio-Temporal Change in Evolving Graphs
- Analysis of Functional Active Databases James Bailey and Alexandra Poulovassilis
- Using gene ontology annotations in exploratory microarray clustering to understand cancer etiology
- Expressiveness Issues and Decision Problems for Active Database Event Queries
- Clustering Similarity Comparison Using Density , James Bailey1
- An Event--Condition--Action Language for James Bailey 1 , George Papamarkos 2 , Alexandra Poulovassilis 2 , Peter T.
- An EventConditionAction Language for XML James Bailey
- g-MARS:Protein Classification using Gapped Markov Chains and Support Vector Machines
- Optimization of XML Transformations Using Template Specialization
- A Reliable Computational Model For BDI Agents Paolo Busetta
- Classi cation Using Constrained Emerging James Bailey, Thomas Manoukian and Kotagiri Ramamohanarao
- Web and Semantic Web Query Languages: James Bailey1
- Mining Generalised Emerging Patterns Xiaoyuan Qian, James Bailey, Christopher Leckie
- Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
- A Fast Algorithm for Computing Hypergraph Transversals and its Application in Mining Emerging Patterns
- CodeX: An Approach for Debugging XSLT Transformations Eric Bae and James Bailey
- Classifying proteins using gapped markov feature pairs Xiaonan Jia
- Under consideration for publication in Knowledge and Information Discovering Correlated Spatio-Temporal
- Semantic-Compensation-Based Recovery in Multi-Agent Systems Amy Unruh Henry Harjadi James Bailey
- Analysis and Optimisation of EventConditionAction Rules on James Bailey 1 , Alexandra Poulovassilis 2 , Peter T. Wood 2
- Semantic Web Query Languages James Bailey, University of Melbourne, http://www.csse.unimelb.edu.au/
- Optimization of XSLT by Compact Specialization and Combination
- On the Decidability of the Termination Problem of Active Database James Bailey y
- Web Intelligence and Agent Systems: An International Journal 0 (2008) 10 1 Building More Robust Multi-Agent Systems
- Static Analysis of XSLT Programs Ce Dong James Bailey
- Composite Event Queries for Reactivity on the Web James Bailey
- Exploring the benefit of contextual information for boosting TREC Genomic IR performance
- Under consideration for publication in Knowledge and Information Systems Mining Minimal Distinguishing Subsequence
- , , 1--25 () fl Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- A Hierarchical Information Theoretic Technique for the Discovery of Non Linear Alternative Clusterings
- Optimising Active Database Rules by Partial Evaluation and Abstract Interpretation
- A Framework for Integrating XML Transformations Ce Dong James Bailey
- Data Mining and Knowledge Discovery manuscript No. (will be inserted by the editor)
- Flavours of XChange, a Rule-Based Reactive Language for the (Semantic) Web
- Managing Semantic Compensation in a Multi-Agent System
