Computational methods for data analysis /:
This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are th...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin ; Boston :
Walter de Gruyter GmbH,
[2019]
|
Schriftenreihe: | De Gruyter STEM
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab. |
Beschreibung: | 1 online resource |
ISBN: | 9783110493603 3110493608 9783110496369 3110496364 |
Internformat
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505 | 0 | 0 | |t Frontmatter -- |t Preface -- |t Acknowledgment -- |t Contents -- |t 1. Introduction -- |t 2. Dataset -- |t 3. Data preprocessing and model evaluation -- |t 4. Algorithms -- |t 5. Linear model and multilinear model -- |t 6. Decision Tree -- |t 7. Naive Bayesian classifier -- |t 8. Support vector machines algorithms -- |t 9. k-Nearest neighbor algorithm -- |t 10. Artificial neural networks algorithm -- |t 11. Fractal and multifractal methods with ANN -- |t Index |
546 | |a In English. | ||
588 | 0 | |a Online resource; title from digital title page (viewed on February 19, 2019). | |
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adam_text | |
any_adam_object | |
author | Cattani, Carlo Karaca, Yeliz |
author_facet | Cattani, Carlo Karaca, Yeliz |
author_role | aut aut |
author_sort | Cattani, Carlo |
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contents | Frontmatter -- Preface -- Acknowledgment -- Contents -- 1. Introduction -- 2. Dataset -- 3. Data preprocessing and model evaluation -- 4. Algorithms -- 5. Linear model and multilinear model -- 6. Decision Tree -- 7. Naive Bayesian classifier -- 8. Support vector machines algorithms -- 9. k-Nearest neighbor algorithm -- 10. Artificial neural networks algorithm -- 11. Fractal and multifractal methods with ANN -- Index |
ctrlnum | (OCoLC)1083630583 |
dewey-full | 510 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 510 - Mathematics |
dewey-raw | 510 |
dewey-search | 510 |
dewey-sort | 3510 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
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id | ZDB-4-EBA-on1083630583 |
illustrated | Not Illustrated |
indexdate | 2024-11-27T13:29:20Z |
institution | BVB |
isbn | 9783110493603 3110493608 9783110496369 3110496364 |
language | English |
oclc_num | 1083630583 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource |
psigel | ZDB-4-EBA |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Walter de Gruyter GmbH, |
record_format | marc |
series2 | De Gruyter STEM |
spelling | Cattani, Carlo, author. Computational methods for data analysis / Yeliz Karaca, Carlo Cattani. Berlin ; Boston : Walter de Gruyter GmbH, [2019] 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier text file De Gruyter STEM Frontmatter -- Preface -- Acknowledgment -- Contents -- 1. Introduction -- 2. Dataset -- 3. Data preprocessing and model evaluation -- 4. Algorithms -- 5. Linear model and multilinear model -- 6. Decision Tree -- 7. Naive Bayesian classifier -- 8. Support vector machines algorithms -- 9. k-Nearest neighbor algorithm -- 10. Artificial neural networks algorithm -- 11. Fractal and multifractal methods with ANN -- Index In English. Online resource; title from digital title page (viewed on February 19, 2019). This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab. Computational intelligence. http://id.loc.gov/authorities/subjects/sh94004659 Electronic data processing. http://id.loc.gov/authorities/subjects/sh85042288 Intelligence informatique. MATHEMATICS Essays. bisacsh MATHEMATICS Pre-Calculus. bisacsh MATHEMATICS Reference. bisacsh Computational intelligence fast Electronic data processing fast Karaca, Yeliz, author. has work: Computational methods for data analysis (Text) https://id.oclc.org/worldcat/entity/E39PCG4wVX9GPv9rwyfWgkKVyd https://id.oclc.org/worldcat/ontology/hasWork Print version: 9783110493603 Print version: 9783110496352 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2012083 Volltext |
spellingShingle | Cattani, Carlo Karaca, Yeliz Computational methods for data analysis / Frontmatter -- Preface -- Acknowledgment -- Contents -- 1. Introduction -- 2. Dataset -- 3. Data preprocessing and model evaluation -- 4. Algorithms -- 5. Linear model and multilinear model -- 6. Decision Tree -- 7. Naive Bayesian classifier -- 8. Support vector machines algorithms -- 9. k-Nearest neighbor algorithm -- 10. Artificial neural networks algorithm -- 11. Fractal and multifractal methods with ANN -- Index Computational intelligence. http://id.loc.gov/authorities/subjects/sh94004659 Electronic data processing. http://id.loc.gov/authorities/subjects/sh85042288 Intelligence informatique. MATHEMATICS Essays. bisacsh MATHEMATICS Pre-Calculus. bisacsh MATHEMATICS Reference. bisacsh Computational intelligence fast Electronic data processing fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh94004659 http://id.loc.gov/authorities/subjects/sh85042288 |
title | Computational methods for data analysis / |
title_alt | Frontmatter -- Preface -- Acknowledgment -- Contents -- 1. Introduction -- 2. Dataset -- 3. Data preprocessing and model evaluation -- 4. Algorithms -- 5. Linear model and multilinear model -- 6. Decision Tree -- 7. Naive Bayesian classifier -- 8. Support vector machines algorithms -- 9. k-Nearest neighbor algorithm -- 10. Artificial neural networks algorithm -- 11. Fractal and multifractal methods with ANN -- Index |
title_auth | Computational methods for data analysis / |
title_exact_search | Computational methods for data analysis / |
title_full | Computational methods for data analysis / Yeliz Karaca, Carlo Cattani. |
title_fullStr | Computational methods for data analysis / Yeliz Karaca, Carlo Cattani. |
title_full_unstemmed | Computational methods for data analysis / Yeliz Karaca, Carlo Cattani. |
title_short | Computational methods for data analysis / |
title_sort | computational methods for data analysis |
topic | Computational intelligence. http://id.loc.gov/authorities/subjects/sh94004659 Electronic data processing. http://id.loc.gov/authorities/subjects/sh85042288 Intelligence informatique. MATHEMATICS Essays. bisacsh MATHEMATICS Pre-Calculus. bisacsh MATHEMATICS Reference. bisacsh Computational intelligence fast Electronic data processing fast |
topic_facet | Computational intelligence. Electronic data processing. Intelligence informatique. MATHEMATICS Essays. MATHEMATICS Pre-Calculus. MATHEMATICS Reference. Computational intelligence Electronic data processing |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2012083 |
work_keys_str_mv | AT cattanicarlo computationalmethodsfordataanalysis AT karacayeliz computationalmethodsfordataanalysis |