Discovering calendar-based temporal association rules
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Region-restricted clustering for geographic data mining
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
Explorative Data Mining on Stock Data --- Experimental Results and Findings
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
Mining Interventions from Parallel Event Sequences
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Correlation analysis of spatial time series datasets: a filter-and-refine approach
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Transactions on rough sets VIII
Research on spatial data mining based on knowledge discovery
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Discovery of processes and their interactions from data and domain knowledge
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Discretization of time series dataset using relative frequency and K-nearest neighbor approach
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
A clustering-based data reduction for very large spatio-temporal datasets
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
A spatial clustering algorithm based on SOFM
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Planning based on reasoning about information changes
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Temporal approach to association rule mining using t-tree and p-tree
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
A new hybrid clustering method for reducing very large spatio-temporal dataset
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
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Data mining and knowledge discovery have become important issues for research over the past decade. This has been caused not only by the growth in the size of datasets but also in the availability of otherwise unavailable datasets over the Internet and the increased value that organisations now place on the knowledge that can be gained from data analysis. It is therefore not surprising that the increased interest in temporal and spatial data has led also to an increased interest in mining such data. This bibliography subsumes an earlier bibliography and shows that the value of investigating temporal, spatial and spatio-temporal data has been growing in both interest and applicability.