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» An Overview of Database Mining Techniques
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IV
2006
IEEE
149views Visualization» more  IV 2006»
14 years 2 months ago
Challenges in Visual Data Analysis
In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data rapidly grows, the ability to analyze these data volumes increa...
Daniel A. Keim, Florian Mansmann, Jörn Schnei...
SISAP
2009
IEEE
122views Data Mining» more  SISAP 2009»
14 years 2 months ago
Dynamic Spatial Approximation Trees for Massive Data
—Metric space searching is an emerging technique to address the problem of efficient similarity searching in many applications, including multimedia databases and other reposito...
Gonzalo Navarro, Nora Reyes
DKE
2002
218views more  DKE 2002»
13 years 8 months ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
DEBU
2008
125views more  DEBU 2008»
13 years 8 months ago
Querying XML in Timber
In this paper, we describe the TIMBER XML database system implemented at University of Michigan. TIMBER was one of the first native XML database systems, designed from the ground ...
Yuqing Wu, Stelios Paparizos, H. V. Jagadish
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
14 years 2 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont