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ICDM
2002
IEEE
145views Data Mining» more  ICDM 2002»
15 years 11 months ago
Mining Top-K Frequent Closed Patterns without Minimum Support
In this paper, we propose a new mining task: mining top-k frequent closed patterns of length no less than min , where k is the desired number of frequent closed patterns to be min...
Jiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 6 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
DIS
2004
Springer
15 years 11 months ago
Predictive Graph Mining
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Andreas Karwath, Luc De Raedt
EDBT
2006
ACM
177views Database» more  EDBT 2006»
16 years 6 months ago
Authorization-Transparent Access Control for XML Under the Non-Truman Model
In authorization-transparent access control, users formulate their queries against the database schema rather than against authorization views that transform and hide data. The Tru...
Alberto O. Mendelzon, Renée J. Miller, Yaro...
GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
15 years 10 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...