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» Data Mining: An AI Perspective
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KDD
2006
ACM
112views Data Mining» more  KDD 2006»
14 years 7 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
ICDM
2008
IEEE
138views Data Mining» more  ICDM 2008»
14 years 1 months ago
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective
INGENS is a prototype of GIS which integrates a geographic knowledge discovery engine to mine several kinds of spatial KDD objects from the topographic maps stored in a spatial da...
Annalisa Appice, Anna Ciampi, Antonietta Lanza, Do...
SIGKDD
2002
93views more  SIGKDD 2002»
13 years 7 months ago
A Perspective on Inductive Databases
Inductive databases tightly integrate databases with data mining. The key ideas are that data and patterns (or models) are handled in the same way and that an inductive query lang...
Luc De Raedt
INCDM
2009
Springer
96views Data Mining» more  INCDM 2009»
14 years 1 months ago
Ordinal Evaluation: A New Perspective on Country Images
We present a novel use of ordinal evaluation (OrdEval) algorithm as a promising technique to study various marketing phenomena. OrdEval algorithm has originated in data mining and ...
Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof
MLDM
2009
Springer
13 years 12 months ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...