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WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
16 years 4 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
DAWAK
2004
Springer
16 years 12 days ago
Algorithms for Discovery of Frequent Superset, Rather than Frequent Subset
Abstract. In this paper, we propose a novel mining task: mining frequent superset from the database of itemsets that is useful in bioinformatics, e-learning systems, jobshop schedu...
Zhung-Xun Liao, Man-Kwan Shan
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 12 months ago
On Computing Condensed Frequent Pattern Bases
Frequent pattern mining has been studied extensively. However, the effectiveness and efficiency of this mining is often limited, since the number of frequent patterns generated i...
Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han
IDA
2010
Springer
15 years 11 months ago
Deterministic Finite Automata in the Detection of EEG Spikes and Seizures
This Paper presents a platform to mine epileptiform activity from Electroencephalograms (EEG) by combining the methodologies of Deterministic Finite Automata (DFA) and Knowledge Di...
Rory A. Lewis, Doron Shmueli, Andrew M. White
ICDM
2007
IEEE
169views Data Mining» more  ICDM 2007»
15 years 11 months ago
Efficient Discovery of Frequent Approximate Sequential Patterns
We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu