J
James Bailey
Researcher at University of Melbourne
Publications - 394
Citations - 13628
James Bailey is an academic researcher from University of Melbourne. The author has contributed to research in topics: Cluster analysis & Computer science. The author has an hindex of 46, co-authored 377 publications receiving 10283 citations. Previous affiliations of James Bailey include University of London & Simon Fraser University.
Papers
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Journal ArticleDOI
A clustering comparison measure using density profiles and its application to the discovery of alternate clusterings
TL;DR: A new clustering similarity measure, known as ADCO, is introduced, which aims to address some limitations of existing measures, by allowing greater flexibility of comparison via the use of density profiles to characterize a clustering.
Proceedings ArticleDOI
Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases
TL;DR: This paper proposes a dynamic programming approach for computing the frequentness probability of probabilistic frequent spatial-temporal sequential patterns with gap constraints and explores its embedding into pattern enumeration algorithms using both breadth- first search and depth-first search strategies.
Journal Article
SleepExplorer: A visualization tool to make sense of correlations between personal sleep data and contextual factors
TL;DR: Wang et al. as discussed by the authors proposed SleepExplorer, a web-based tool that helps individuals understand sleep quality through multi-dimensional sleep structure and explore correlations between sleep data and contextual information.
Proceedings ArticleDOI
Decidability and undecidability results for the termination problem of active database rules
TL;DR: This paper presents two families of rule languages, the one literal languages where each update is permitted to have just one atom in its body, and the unary languages where only unary Relations may be updated, but higher arity relations may be accessed through views.
Book ChapterDOI
Active Databases and Agent Systems - A Comparison
TL;DR: It is shown that Active Databases and Agent Systems draw upon very similar paradigms in their quest to supply reactivity, which presents opportunities for migration of techniques and formalisms between the two fields.