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» An Index Structure for Data Mining and Clustering
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SISAP
2009
IEEE
134views Data Mining» more  SISAP 2009»
14 years 2 months ago
EGNAT: A Fully Dynamic Metric Access Method for Secondary Memory
—We introduce a novel metric space search data structure called EGNAT, which is fully dynamic and designed for secondary memory. The EGNAT is based on Brin’s GNAT static index,...
Roberto Uribe Paredes, Gonzalo Navarro
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 28 days ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 10 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
14 years 1 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
KDD
2002
ACM
194views Data Mining» more  KDD 2002»
14 years 8 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...