What Does Affect the Correlation Among Evaluation Measures? (English)
- New search for: Ferro, Nicola
- New search for: Ferro, Nicola
In:
ACM transactions on information systems
;
36
, 2
; 1-40
;
2017
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ISSN:
- Article (Journal) / Print
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Title:What Does Affect the Correlation Among Evaluation Measures?
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Contributors:Ferro, Nicola ( author )
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Published in:ACM transactions on information systems ; 36, 2 ; 1-40
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Publisher:
- New search for: ACM
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Place of publication:New York, NY
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Publication date:2017
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 06.74 / 54.64 / 54.00
- Further information on Basic classification
- New search for: 770/3155
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Keywords:
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Classification:
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Source:
Table of contents – Volume 36, Issue 2
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Social Influence Spectrum at ScaleNguyen, Hung et al. | 2017
- 1
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AWAREFerrante, Marco et al. | 2017
- 1
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DBpedia-Based Entity Linking via Greedy Search and Adjusted Monte Carlo Random WalkLiu, Ming et al. | 2017
- 1
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Using Replicates in Information Retrieval EvaluationVoorhees, Ellen et al. | 2017
- 1
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Local Representative-Based Matrix Factorization for Cold-Start RecommendationShi, Lei et al. | 2017
- 1
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Parallelization of Massive Textstream Compression Based on Compressed SensingPeng, Min et al. | 2017
- 1
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Understanding and Leveraging the Impact of Response Latency on User Behaviour in Web SearchBai, Xiao et al. | 2017
- 1
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Modeling and Mining Domain Shared Knowledge for Sentiment AnalysisZhou, Guang-You et al. | 2017
- 1
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What Does Affect the Correlation Among Evaluation Measures?Ferro, Nicola et al. | 2017
- 1
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Fast and Flexible Top- k Similarity Search on Large NetworksZhang, Jing et al. | 2017
- 1
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Enhancing Topic Modeling for Short Texts with Auxiliary Word EmbeddingsLi, Chenliang et al. | 2017
- 1
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Active Learning for Classification with Maximum Model ChangeCai, Wenbin et al. | 2017