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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 27 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
VISUAL
2007
Springer
14 years 1 months ago
Potentialities of Chorems as Visual Summaries of Geographic Databases Contents
Chorems are schematized representations of territories, and so they can represent a good visual summary of spatial databases. Indeed for spatial decision-makers, it is more importa...
Vincenzo Del Fatto, Robert Laurini, Karla Lopez, R...
CIKM
2009
Springer
14 years 2 months ago
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Background: Since Swanson proposed the Undiscovered Public Knowledge (UPK) model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier...
Ali Zeeshan Ijaz, Min Song, Doheon Lee
BMCBI
2005
189views more  BMCBI 2005»
13 years 7 months ago
A sentence sliding window approach to extract protein annotations from biomedical articles
Background: Within the emerging field of text mining and statistical natural language processing (NLP) applied to biomedical articles, a broad variety of techniques have been deve...
Martin Krallinger, Maria Padron, Alfonso Valencia
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
14 years 8 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...