EASE: An Effort-aware Extension of Unsupervised Key Class Identification Approaches
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- EASE: An Effort-aware Extension of Unsupervised Key Class Identification Approaches
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Association for Computing Machinery
New York, NY, United States
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- Research-article
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- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province
- Zhejiang Gongshang University “Digital+” Disciplinary Construction Management Project
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