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AMT
2006
Springer
93views Multimedia» more  AMT 2006»
13 years 6 months ago
Exploiting Semantic Association To Answer 'Vague Queries'
Jianhan Zhu, Marc Eisenstadt, Dawei Song, Chris De...
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
13 years 8 months ago
Large Scale Analysis of Search Engine Content
We mine a large taxonomic dataset for subject classification rules. We then use these rules to perform an extensive analysis of the subject matter of the largest general purpose in...
John D. King
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
13 years 6 months ago
Efficient Frequent Itemsets Mining by Sampling
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
AMT
2006
Springer
147views Multimedia» more  AMT 2006»
13 years 8 months ago
Semi-Supervised Text Classification Using Positive and Unlabeled Data
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
Shuang Yu, Xueyuan Zhou, Chunping Li