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» Mining interesting sets and rules in relational databases
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WSCG
2004
170views more  WSCG 2004»
14 years 11 months ago
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
Daniel A. Keim, Christian Panse, Jörn Schneid...
BMCBI
2006
195views more  BMCBI 2006»
14 years 10 months ago
Hubs of knowledge: using the functional link structure in Biozon to mine for biologically significant entities
Background: Existing biological databases support a variety of queries such as keyword or definition search. However, they do not provide any measure of relevance for the instance...
Paul Shafer, Timothy Isganitis, Golan Yona
KDD
1994
ACM
125views Data Mining» more  KDD 1994»
15 years 2 months ago
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth
This paper discusses the problem of knowledge discovery in image databases with particular focus on the issues which arise when absolute ground truth is not available. It is often...
Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, ...
DASFAA
2007
IEEE
148views Database» more  DASFAA 2007»
15 years 1 months ago
Schema Mapping in P2P Networks Based on Classification and Probing
In this paper, we address the problems of adaptive schema mappings between different peers in peer-to-peer network and searching for interesting data residing at different peers ba...
Guoliang Li, Beng Chin Ooi, Bei Yu, Lizhu Zhou
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
15 years 4 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...