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  • Search: subject:"Massive datasets"
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Year of publication
Subject
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Massive datasets 3 Algorithms 1 Applications and case studies 1 Einkommen 1 Financial crisis 1 Finanzkrise 1 Income 1 Men 1 Männer 1 Sampling 1 Sensitivity analysis 1 Sensitivitätsanalyse 1 Volatility 1 Volatilität 1 classification 1 data mining 1 knowledge bases 1 refinement techniques 1 rule induction 1
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Online availability
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2 Undetermined 1
Author
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Abowd, John M. 1 Delen, Dursun 1 Ghosh, Arkadev 1 Hwang, Sam Il Myoung 1 Kim, Jin-Hwa 1 Kletke, Marilyn G. 1 McKinney, Kevin L. 1 Squires, Munir 1
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Published in...
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 2 Journal of Information & Knowledge Management (JIKM) 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
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Links and legibility : making sense of historical U.S. Census automated linking methods
Ghosh, Arkadev; Hwang, Sam Il Myoung; Squires, Munir - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 2, pp. 579-590
Persistent link: https://www.econbiz.de/10015053429
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Male earnings volatility in LEHD before, during, and after the Great Recession
McKinney, Kevin L.; Abowd, John M. - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 1, pp. 33-39
Persistent link: https://www.econbiz.de/10013540627
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A Scalable Classification Algorithm for Very Large Datasets
Delen, Dursun; Kletke, Marilyn G.; Kim, Jin-Hwa - In: Journal of Information & Knowledge Management (JIKM) 04 (2005) 02, pp. 83-94
Today's organisations are collecting and storing massive amounts of data from their customer transactions and e-commerce/e-business applications. Many classification algorithms are not scalable to work effectively and efficiently with these very large datasets. This study constructs a new...
Persistent link: https://www.econbiz.de/10005047335
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