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» Relative Entropy and Statistics
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115
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ICDM
2007
IEEE
199views Data Mining» more  ICDM 2007»
15 years 6 months ago
Discovering Structural Anomalies in Graph-Based Data
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder
107
Voted
AI
1998
Springer
15 years 4 days ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
81
Voted
ACL
2009
14 years 10 months ago
Transliteration Alignment
This paper studies transliteration alignment, its evaluation metrics and applications. We propose a new evaluation metric, alignment entropy, grounded on the information theory, t...
Vladimir Pervouchine, Haizhou Li, Bo Lin
BMCBI
2010
132views more  BMCBI 2010»
15 years 17 days ago
Data structures and compression algorithms for high-throughput sequencing technologies
Background: High-throughput sequencing (HTS) technologies play important roles in the life sciences by allowing the rapid parallel sequencing of very large numbers of relatively s...
Kenny Daily, Paul Rigor, Scott Christley, Xiaohui ...
179
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SIGMOD
2005
ACM
107views Database» more  SIGMOD 2005»
16 years 18 days ago
Relational Confidence Bounds Are Easy With The Bootstrap
Statistical estimation and approximate query processing have become increasingly prevalent applications for database systems. However, approximation is usually of little use witho...
Abhijit Pol, Chris Jermaine