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» A Framework for Mining Association Rules in Data Warehouses
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BMCBI
2010
149views more  BMCBI 2010»
13 years 8 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
SDM
2003
SIAM
134views Data Mining» more  SDM 2003»
13 years 10 months ago
Hierarchical Document Clustering using Frequent Itemsets
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
Benjamin C. M. Fung, Ke Wang, Martin Ester
ICASSP
2011
IEEE
13 years 9 days ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
FUIN
2000
109views more  FUIN 2000»
13 years 8 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman
GFKL
2007
Springer
137views Data Mining» more  GFKL 2007»
14 years 14 days ago
Families of Dendrograms
A conceptual framework for cluster analysis from the viewpoint of p-adic geometry is introduced by describing the space of all dendrograms for n datapoints and relating it to the m...
Patrick Erik Bradley