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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Published by Business Science Reference, 2017
ISBN 10: 1522520317 ISBN 13: 9781522520313
Language: English
£ 7.14
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 472 | Sprache: Englisch | Produktart: Bücher.
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HANDBOOK OF RESEARCH ON E-BUSINESS STANDARDS AND PROTOCOLS: DOCUMENTS, DATA AND ADVANCED WEB TECHNOLOGIES
Published by Business Science Reference, 2012
ISBN 10: 1466601469 ISBN 13: 9781466601468
Language: English
£ 142.30
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Add to basketCondition: 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.
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HANDBOOK OF RESEARCH ON E-BUSINESS STANDARDS AND PROTOCOLS: DOCUMENTS, DATA AND ADVANCED WEB TECHNOLOGIES
Published by Business Science Reference, 2012
ISBN 10: 1466601469 ISBN 13: 9781466601468
Language: English
£ 142.30
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: 5 available
Add to basketCondition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence (Advances in Business Information Systems and Analytics)
Published by Business Science Reference, 2017
ISBN 10: 1522520317 ISBN 13: 9781522520313
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 220.35
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science (Advances in Data Mining and Database Management)
Published by Engineering Science Reference, 2021
ISBN 10: 1799866599 ISBN 13: 9781799866596
Language: English
hardcover. Condition: New. New. book.
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Published by Engineering Science Reference, 2021
ISBN 10: 1799866599 ISBN 13: 9781799866596
Language: English
£ 253.28
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Published by Engineering Science Reference, 2021
ISBN 10: 1799866599 ISBN 13: 9781799866596
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 266.10
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science (Advances in Data Mining and Database Management)
Published by Engineering Science Reference, 2021
ISBN 10: 1799866599 ISBN 13: 9781799866596
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 266.11
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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Published by Business Science Reference, 2017
ISBN 10: 1522520317 ISBN 13: 9781522520313
Language: English
£ 255.40
Convert currency£ 21.70 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Presents the latest advances in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining.
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Published by Engineering Science Reference, 2021
ISBN 10: 1799866599 ISBN 13: 9781799866596
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 290.08
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£ 290.97
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Add to basketHardback. Condition: New. The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges.The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
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Handbook of Research on E-Business Standards and Protocols: Documents, Data, and Advanced Web Technologies ( Volume 1 )
Published by Business Science Reference, 2012
ISBN 10: 1668425432 ISBN 13: 9781668425435
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 297.31
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Handbook of Research on E-Business Standards and Protocols: Documents, Data, and Advanced Web Technologies (Volume 2 )
Published by Business Science Reference, 2012
ISBN 10: 1668425440 ISBN 13: 9781668425442
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 297.31
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Published by Engineering Science Reference, 2021
ISBN 10: 1799866599 ISBN 13: 9781799866596
Language: English
£ 299.27
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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 317.98
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Add to basketHardback. Condition: New. The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges.The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
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Hardcover. Condition: NEW. Brand New! Fast Delivery USA Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-14 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence Advances in Business Information Systems and Analytics
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 221.81
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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£ 240.45
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Add to basketHRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 267.80
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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£ 284.13
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Add to basketHRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Published by Engineering Science Reference, 2020
ISBN 10: 1799866599 ISBN 13: 9781799866596
Language: English
£ 302.20
Convert currency£ 21.70 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnIn today s digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engin.
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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Published by Business Science Reference, 2017
ISBN 10: 1522520317 ISBN 13: 9781522520313
Language: English
£ 316.64
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
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Handbook of Research on E-Business Standards and Protocols : Documents, Data, and Advanced Web Technologies (Volume 2 )
Published by Business Science Reference, 2012
ISBN 10: 1668425440 ISBN 13: 9781668425442
Language: English
£ 376.54
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
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Handbook of Research on E-Business Standards and Protocols : Documents, Data, and Advanced Web Technologies ( Volume 1 )
Published by Business Science Reference, 2012
ISBN 10: 1668425432 ISBN 13: 9781668425435
Language: English
£ 376.54
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Published by Engineering Science Reference, 2021
ISBN 10: 1799866599 ISBN 13: 9781799866596
Language: English
£ 429.85
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engineering is a process to transform such data into a suitable form that better assists with interpretation and visualization. Through this method, the transformed data is more transparent to the machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess the trade-offs of their decisions regarding the effectiveness of the machine learning model implemented. Investigating the demand in this area today and in the future is a necessity. The Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science provides an in-depth analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. The chapters will introduce feature engineering and the recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data. While highlighting topics such as detection, tracking, selection techniques, and prediction models using data science, this book is ideally intended for research scholars, big data scientists, project developers, data analysts, and computer scientists along with practitioners, researchers, academicians, and students interested in feature engineering and its impact on data.
