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» Spatial Data Mining: A Database Approach
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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 4 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 3 months ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
15 years 8 months ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen
DMKD
2004
ACM
139views Data Mining» more  DMKD 2004»
15 years 8 months ago
Iterative record linkage for cleaning and integration
Record linkage, the problem of determining when two records refer to the same entity, has applications for both data cleaning (deduplication) and for integrating data from multipl...
Indrajit Bhattacharya, Lise Getoor
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
15 years 9 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...