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» An Overview of Database Mining Techniques
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SIGMOD
2009
ACM
165views Database» more  SIGMOD 2009»
14 years 27 days ago
Query by output
It has recently been asserted that the usability of a database is as important as its capability. Understanding the database schema, the hidden relationships among attributes in t...
Quoc Trung Tran, Chee-Yong Chan, Srinivasan Partha...
SAC
2005
ACM
14 years 1 months ago
Comparing approaches to predict transmembrane domains in protein sequences
There are today several systems for predicting transmembrane domains in membrane protein sequences. As they are based on different classifiers as well as different pre- and post-p...
Paul Davidsson, Johan Hagelbäck, Kenny Svenss...
ICDE
2010
IEEE
282views Database» more  ICDE 2010»
14 years 8 months ago
Quantile-Based KNN Over Multi-Valued Objects
K Nearest Neighbor search has many applications including data mining, multi-media, image processing, and monitoring moving objects. In this paper, we study the problem of KNN over...
Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Y...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
14 years 17 days ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 5 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo