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» New Algorithms for Text Fingerprinting
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KDD
2006
ACM
175views Data Mining» more  KDD 2006»
15 years 10 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
CIKM
2006
Springer
15 years 1 months ago
Text classification improved through multigram models
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
71
Voted
BIRD
2008
Springer
119views Bioinformatics» more  BIRD 2008»
14 years 11 months ago
Implementation of a Swap Matching Algorithm Using a Graph Theoretic Model
The swap matching problem consists if finding a pattern in a text, while allowing for transpositions in the pattern. A new approach using a graph-theoretic model was presented in [...
Pavlos Antoniou, Costas S. Iliopoulos, Inuka Jayas...
73
Voted
ADMA
2007
Springer
159views Data Mining» more  ADMA 2007»
15 years 3 months ago
A Novel Text Classification Approach Based on Enhanced Association Rule
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating ...
Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qia...
SIGIR
2006
ACM
15 years 3 months ago
Text clustering with extended user feedback
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...
Yifen Huang, Tom M. Mitchell