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» On Effective Data Clustering in Bitemporal Databases
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PODS
2009
ACM
119views Database» more  PODS 2009»
15 years 11 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 4 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
15 years 5 months ago
Spatial Multidimensional Sequence Clustering
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measureme...
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se...
ICDE
2012
IEEE
238views Database» more  ICDE 2012»
13 years 1 months ago
Mining Knowledge from Data: An Information Network Analysis Approach
Abstract—Most objects and data in the real world are interconnected, forming complex, heterogeneous but often semistructured information networks. However, many database research...
Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
SSDBM
2003
IEEE
123views Database» more  SSDBM 2003»
15 years 4 months ago
MoBIoS: A Metric-Space DBMS to Support Biological Discovery
MoBIoS is a specialized database management system whose storage manager is based on metric-space indexing, and whose query language entails biological data types. When relational...
Daniel P. Miranker, Weijia Xu, Rui Mao