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» Improving Mining Quality by Exploiting Data Dependency
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SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
15 years 4 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 5 days ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
FSKD
2010
Springer
205views Fuzzy Logic» more  FSKD 2010»
14 years 9 months ago
Research on spatial data mining based on uncertainty in Government GIS
Uncertainty is the intrinsic property of spatial data and one of important factors affecting the course of spatial data mining. There are diversiform forms for the essentiality an...
Bin Li, Lihong Shi, Jiping Liu
KDD
2000
ACM
81views Data Mining» more  KDD 2000»
15 years 3 months ago
Targeting the right students using data mining
The education domain offers a fertile ground for many interesting and challenging data mining applications. These applications can help both educators and students, and improve th...
Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu...
MICCAI
2006
Springer
16 years 22 days ago
Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model
Abstract. Quality of segmentations obtained by 3D Active Appearance Models (AAMs) crucially depends on underlying training data. MRI heart data, however, often come noisy, incomple...
Jirí Hladuvka, Katja Bühler, Sebastian...