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AMT
2006
Springer
108views Multimedia» more  AMT 2006»
13 years 8 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
93views Multimedia» more  AMT 2006»
13 years 8 months ago
Exploiting Semantic Association To Answer 'Vague Queries'
Jianhan Zhu, Marc Eisenstadt, Dawei Song, Chris De...
AMT
2006
Springer
138views Multimedia» more  AMT 2006»
13 years 10 months ago
Relevence Assessment of Topic Ontology
In traditional Information Retrieval (IR), user profiles are often represented by keyword/concepts space vectors or by some predefined categories. Unfortunately, this data is often...
Xujuan Zhou, Yuefeng Li, Yue Xu, Raymond Lau
AMT
2006
Springer
147views Multimedia» more  AMT 2006»
13 years 10 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
AMT
2006
Springer
91views Multimedia» more  AMT 2006»
13 years 10 months ago
Rough Set Model for Constraint-based Multi-dimensional Association Rule Mining
Abstract. This paper presents a rough set model for constraint-based multidimensional association rule mining. It first overviews the progress in constraintbased multi-dimensional ...
Wanzhong Yang, Yuefeng Li, Yue Xu, Hang Liu
AMT
2006
Springer
107views Multimedia» more  AMT 2006»
13 years 10 months ago
An Intelligent Process Monitoring System in Complex Manufacturing Environment
In high-tech industries, most manufacturing processes are complexly intertwined, in that manufacturers or engineers can hardly control a whole set of processes. They are only capa...
Sung Ho Ha, Boo-Sik Kang
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
13 years 10 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