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» A Perspective on Databases and Data Mining
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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
15 years 12 months 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
BMCBI
2005
156views more  BMCBI 2005»
15 years 6 months ago
DynGO: a tool for visualizing and mining of Gene Ontology and its associations
Background: A large volume of data and information about genes and gene products has been stored in various molecular biology databases. A major challenge for knowledge discovery ...
Hongfang Liu, Zhang-Zhi Hu, Cathy H. Wu
CIKM
2009
Springer
16 years 1 months ago
A case study on model driven data integration for data centric software development
Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metada...
Hyeonsook Kim, Ying Zhang, Samia Oussena, Tony Cla...
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
16 years 16 days ago
Spatial Multidimensional Sequence Clustering
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measureme...
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se...
IV
2008
IEEE
133views Visualization» more  IV 2008»
16 years 27 days ago
Mining Scholarly Semantic Networks from the Web
With the increased usage of the Web and its availability of data, various scholarly information is now available on the Web. Extraction, aggregation, and visualization of such inf...
Mizuki Oka, Yutaka Matsuo