國立虎尾科技大學 |

Optimizing big data management and industrial systems with intelligent techniques

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimizing big data management and industrial systems with intelligent techniques/ Sultan Ceren Oner and Oya H. Yuregir, editors.
其他作者:	Oner, Sultan Ceren,
出版者:	Hershey, Pennsylvania :IGI Global, : 2018.,
面頁冊數:	1 online resource (xii, 238 p.)
標題:	Manufacturing processes - Planning. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5137-9
ISBN:	9781522551386 (e-book)

Optimizing big data management and industrial systems with intelligent techniques
Optimizing big data management and industrial systems with intelligent techniques[electronic resource] /Sultan Ceren Oner and Oya H. Yuregir, editors. - Hershey, Pennsylvania :IGI Global,2018. - 1 online resource (xii, 238 p.)

Includes bibliographical references and index.

Chapter 1. Data management and big data analytics: data management in digital economy -- Chapter 2. Big data analytics: a necessary roadmap for enterprises -- Chapter 3. Analytical review of the applications of multi-criteria decision making in data mining -- Chapter 4. Multi-criteria decision making in manufacturing systems: identification of critical factors for establishing a smart factory using ISM and MICMAC approach -- Chapter 5. Data linkage methods for big data management in industry 4.0 -- Chapter 6. Forecasting the daily sales of a franchise -- Chapter 7. A smart recyclable waste collection system based on IoT and an application -- Chapter 8. Waste management in thermal power plants.

Restricted to subscribers or individual electronic text purchasers.

"This book present applications of intelligent optimization techniques in data management and manufacturing systems. It discusses optimization techniques in terms of heuristic and metaheuristic methods to manage and optimize the problems in data mining, recommender systems and advanced manufacturing systems and examines the decision making issues"--Provided by publisher.

ISBN: 9781522551386 (e-book)Subjects--Topical Terms:

881453
Manufacturing processes
--Planning.

LC Class. No.: TS183.3 / .O68 2018e

Dewey Class. No.: 670

Optimizing big data management and industrial systems with intelligent techniques
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300 $a 1 online resource (xii, 238 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Data management and big data analytics: data management in digital economy -- Chapter 2. Big data analytics: a necessary roadmap for enterprises -- Chapter 3. Analytical review of the applications of multi-criteria decision making in data mining -- Chapter 4. Multi-criteria decision making in manufacturing systems: identification of critical factors for establishing a smart factory using ISM and MICMAC approach -- Chapter 5. Data linkage methods for big data management in industry 4.0 -- Chapter 6. Forecasting the daily sales of a franchise -- Chapter 7. A smart recyclable waste collection system based on IoT and an application -- Chapter 8. Waste management in thermal power plants.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book present applications of intelligent optimization techniques in data management and manufacturing systems. It discusses optimization techniques in terms of heuristic and metaheuristic methods to manage and optimize the problems in data mining, recommender systems and advanced manufacturing systems and examines the decision making issues"--Provided by publisher.
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650 0 $a Manufacturing processes $x Data processing. $3 636667
650 0 $a Decision making $x Data processing. $3 568242
650 0 $a Industrial efficiency. $3 562338
650 0 $a Big data. $3 981821
650 0 $a Expert systems. $3 1222034
650 0 $a Artificial intelligence. $3 559380
700 1 $a Oner, Sultan Ceren, $d 1987- $3 1222032
700 1 $a Yuregir, Oya H., $d 1963- $3 1222033
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