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Coefficient of Variation and Machine Learning Applications [electronic resource].
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Hima Bindu, K. Morusupalli, Raghava. Dey, Nilanjan. Rao, C. Raghavendra. |
| 서명/저자사항 | Coefficient of Variation and Machine Learning Applications[electronic resource]. |
| 발행사항 | Milton : CRC Press LLC, 2019. |
| 형태사항 | 1 online resource (149 p.). |
| 총서사항 | Intelligent Signal Processing and Data Analysis Ser. |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 9781000752229 1000752224 9780429296185 0429296185 9781000752427 1000752429 9781000752625 1000752623 |
| 일반주기 |
Description based upon print version of record.
|
| 요약 | Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading to efficient knowledge representation. It also compiles representational and classification strategies based on the CV through illustrative explanations. The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data paradigms is demonstrated through selected applications. Overall, this book explains statistical parameters and knowledge representation models. |
| 일반주제명 | Analysis of variance. Big data -- Statistical methods. COMPUTERS / Machine Theory COMPUTERS / Computer Engineering MATHEMATICS / Probability & Statistics / General Analysis of variance. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Hima Bindu, K.Coefficient of Variation and Machine Learning ApplicationsMilton : CRC Press LLC,c20199780367273286 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2321011 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00020111 | 519.538 510 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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