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159
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AAAI
1996
15 years 7 months ago
1996
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...
165
Voted
SIGIR
2008
ACM
15 years 6 months ago
2008
ACM
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
136
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HICSS
2008
IEEE
16 years 18 days ago
2008
IEEE
This paper proposes that experience knowledge would be beneficial for iterative software development. In this paper, experience knowledgebased artifacts have been linked to Extrem...
131
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IDA
2000
Springer
15 years 6 months ago
2000
Springer
Knowledge Discovery in Databases (KDD) has become a very attractive discipline both for research and industry within last few years. Its goal is to extract pieces of knowledge or `...
165
Voted
CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...