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» Spatial Data Mining: Database Primitives, Algorithms and Eff...
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LWA
2004
13 years 6 months ago
Efficient Frequent Pattern Mining in Relational Databases
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
SSDBM
2003
IEEE
123views Database» more  SSDBM 2003»
13 years 10 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
KDD
1998
ACM
160views Data Mining» more  KDD 1998»
13 years 9 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
WISE
2002
Springer
13 years 9 months ago
Database Support for Spatial Generalisation for WWW and Mobile Applications
The need of using spatial vector data for web-based and mobile applications has been increasing rapidly. Vector spatial data is difficult to generalise (that is, to derive a suita...
Xiaofang Zhou, Sham Prasher, Masaru Kitsuregawa
VLDB
1994
ACM
140views Database» more  VLDB 1994»
13 years 9 months ago
Efficient and Effective Clustering Methods for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...
Raymond T. Ng, Jiawei Han