Handbook data mining knowledge (19 Ergebnisse)
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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, and may have sticker on cover, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling cond…itions.
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Hardcover. Zustand: Bon. Ancien livre de bibliothèque avec équipements. Couverture différente. Edition 2005. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Different cover. Edition 2005. Ammareal gives back up to 15% of… this item's net price to charity organizations.
- Hardcover
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2nd Editon. XX, 1285 p. Hardcover. 2nd Ed. Gestempelt/Stamped. Sprache: Englisch.
Handbook of Educational Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Romero, Cristobal; Ventura, Sebastian; Pechenizkiy, Mykola; Baker, Ryan S.J.d.
Sprache: Englisch
Verlag: CRC Press (edition 1) 2010
Serie: Chapman & Hall/CRC Data Mining and Knowledge Discovery, Buch 19 von 56. Buch 19 von 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Hardcover. Zustand: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Handbook of Educational Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Romero, Cristobal, Ventura, Sebastian, Pechenizkiy, Mykola, Baker, Ryan S.J.d.
Sprache: Englisch
Verlag: CRC Press (edition 1) 2010
Serie: Chapman & Hall/CRC Data Mining and Knowledge Discovery, Buch 19 von 56. Buch 19 von 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Hardcover. Zustand: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
- Hardcover
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Zustand: New. pp. xxxvi + 1383.
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- Hardcover
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Zustand: Gut. Zustand: Gut | Seiten: 1285 | Sprache: Englisch | Produktart: Bücher | Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and pr…actitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered - this is the challenge created by today's abundance of data. Data Mining and Knowledge Discovery Handbook, Second Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This handbook first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. This handbook is also suitable for professionals in industry, for computing applications, information systems management, and strategic research management.
- Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 1383 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
- Hardcover
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EUR 163,05
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data
- Hardcover
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Zustand: New. Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. Series: Wiley Series in Bioinformatics. Num Pages: 1192 pages, Illustrations. BIC… Classification: PSA; UNA. Category: (P) Professional & Vocational. Dimension: 255 x 184 x 57. Weight in Grams: 2174. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Biological Knowledge Discovery Handbook Preprocessing, Mining, and Postprocessing of Biological Data
- Hardcover
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Hardcover. Zustand: Brand New. 1st edition. 1192 pages. 10.25x7.50x2.50 inches. In Stock.
- Hardcover
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Zustand: New.
- Softcover
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 996 | Sprache: Englisch | Produktart: Bücher | This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and to gain popularity. Exi…sting methods are constantly being improved and new methods, applications and aspects are introduced. The new title of this handbook and its content reflect these changes thoroughly. Some existing chapters have been brought up to date. In addition to major revision of the existing chapters, the new edition includes totally new topics, such as: deep learning, explainable AI, human factors and social issues and advanced methods for big-data. The significant enhancement to the content reflects the growth in importance of data science. The third edition is also a timely opportunity to incorporate many other changes based on peers and students¿ feedback.This comprehensive handbook also presents a coherent and unified repository of data science major concepts, theories, methods, trends, challenges and applications. It covers all the crucial important machine learning methods used in data science.Today's accessibility and abundance of data make data science matters of considerable importance and necessity. Given the field's recent growth, it's not surprising that researchers and practitioners now have a wide range of methods and tools at their disposal. While statistics is fundamental for data science, methods originated from artificial intelligence, particularly machine learning, are also playing a significant role.This handbook aims to serve as the main reference for researchers in the fields of information technology, e-Commerce, information retrieval, data science, machine learning, data mining, databases and statistics as well as advanced level students studying computer science or electrical engineering. Practitioners working within these related fields and data scientists will also want to purchase this handbook as a reference.
- Hardcover
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- Softcover
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Taschenbuch. Zustand: Neu. Machine Learning for Data Science Handbook | Data Mining and Knowledge Discovery Handbook | Lior Rokach (u. a.) | Taschenbuch | vii | Englisch | 2024 | Springer | EAN 9783031246302 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]sp…ringer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing 2024
- Softcover
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EUR 299,59
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and to gain popularity. Existing methods are cons…tantly being improved and new methods, applications and aspects are introduced. The new title of this handbook and its content reflect these changes thoroughly. Some existing chapters have been brought up to date. In addition to major revision of the existing chapters, the new edition includes totally new topics, such as: deep learning, explainable AI, human factors and social issues and advanced methods for big-data. The significant enhancement to the content reflects the growth in importance of data science. The third edition is also a timely opportunity to incorporate many other changes based on peers and students' feedback.This comprehensive handbook also presents a coherent and unified repository of data science major concepts, theories, methods, trends, challenges and applications. It covers all the crucial important machine learning methods used in data science.Today's accessibility and abundance of data make data science matters of considerable importance and necessity. Given the field's recent growth, it's not surprising that researchers and practitioners now have a wide range of methods and tools at their disposal. While statistics is fundamental for data science, methods originated from artificial intelligence, particularly machine learning, are also playing a significant role.This handbook aims to serve as the main reference for researchersin the fields of information technology, e-Commerce, information retrieval, data science, machine learning, data mining, databases and statistics as well as advanced level students studying computer science or electrical engineering.Practitioners working within these related fields and data scientists will also want to purchase this handbook as a reference.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland 2023
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 299,59
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and to gain popularity. Existing methods are constantly…being improved and new methods, applications and aspects are introduced. The new title of this handbook and its content reflect these changes thoroughly. Some existing chapters have been brought up to date. In addition to major revision of the existing chapters, the new edition includes totally new topics, such as: deep learning, explainable AI, human factors and social issues and advanced methods for big-data. The significant enhancement to the content reflects the growth in importance of data science. The third edition is also a timely opportunity to incorporate many other changes based on peers and students' feedback.This comprehensive handbook also presents a coherent and unified repository of data science major concepts, theories, methods, trends, challenges and applications. It covers all the crucial important machine learning methods used in data science.Today's accessibility and abundance of data make data science matters of considerable importance and necessity. Given the field's recent growth, it's not surprising that researchers and practitioners now have a wide range of methods and tools at their disposal. While statistics is fundamental for data science, methods originated from artificial intelligence, particularly machine learning, are also playing a significant role.This handbook aims to serve as the main reference for researchersin the fields of information technology, e-Commerce, information retrieval, data science, machine learning, data mining, databases and statistics as well as advanced level students studying computer science or electrical engineering.Practitioners working within these related fields and data scientists will also want to purchase this handbook as a reference.
Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook
Rokach, Lior (Editor)/ Maimon, Oded (Editor)/ Shmueli, Erez (Editor)
- Hardcover
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Hardcover. Zustand: Brand New. 3rd edition. 992 pages. 9.25x6.10x2.40 inches. In Stock.
