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KDD
2007
ACM
137views Data Mining» more  KDD 2007»
16 years 7 months ago
Characterising the difference
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 7 months ago
Stochastic processes and temporal data mining
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
Paul Cotofrei, Kilian Stoffel
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
16 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
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 7 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
CHI
2008
ACM
16 years 7 months ago
Children attribute moral standing to a personified agent
This paper describes the results of a study conducted to answer two questions: (1) Do children generalize their understanding of distinctions between conventional and moral violat...
Nathan G. Freier