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» Quality Assessment and Uncertainty Handling in Data Mining P...
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EUSFLAT
2007
105views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
SPoID: Do Not Throw Meaningful Incomplete Sequences Away!
Industrial databases often contain a large amount of unfilled information. During the knowledge discovery process one processing step is often necessary in order to remove these ...
Céline Fiot, Anne Laurent, Maguelonne Teiss...
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
14 years 8 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 7 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
AAAI
2007
13 years 9 months ago
Using AI for e-Government Automatic Assessment of Immigration Application Forms
This paper describes an e-Government AI project that provides a range of intelligent AI services to support automated assessment of various types of applications submitted to an i...
Andy Hon Wai Chun
ICCV
2005
IEEE
14 years 1 months ago
Learning the Probability of Correspondences without Ground Truth
We present a quality assessment procedure for correspondence estimation based on geometric coherence rather than ground truth. The procedure can be used for performance evaluation...
Qingxiong Yang, R. Matt Steele, David Nisté...