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Utilizing big data paradigms for business intelligence
Darmont, Jâerãome (ed.); Loudcher, Sabine (ed.) - 2018
learning"-- … ecosystem -- Chapter 8. Analysis of operation performance of blast furnace with machine learning methods …
Persistent link: https://www.econbiz.de/10012393209
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Nature-inspired algorithms for big data frameworks
Banati, Hema (ed.); Mehta, Shikha (ed.); Kaur, Parmeet (ed.) - 2018
problems of emerging areas. It also explore the role of machine learning techniques for the optimization and learning involving …Section 1. Nature-inspired algorithms for high dimensions. Chapter 1. Deep learning for big data analytics ; Chapter 2 … for personalized e-learning using soft computing techniques ; Chapter 14. Graph and neural network-based intelligent …
Persistent link: https://www.econbiz.de/10012393259
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Extracting knowledge from opinion mining
Agrawal, Rashmi (ed.); Gupta, Neha (ed.) - 2018
directions related to opinion supervised and unsupervised approaches for opinion mining, machine learning techniques, deep … learning and opinion spam detection. The book also includes some open source tools for opinion mining and sentiment analysis"-- … based opinion mining ; Chapter 3. Deep learning for opinion mining ; Chapter 4. Opinion mining: using machine learning …
Persistent link: https://www.econbiz.de/10012393274
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Web information systems
Taniar, David (contributor);  … - 2004
The Internet is already more widely deployed than any other computing system in history and continues to grow rapidly. New technologies, including high speed wide area network and improved software support for distribution, promise to make the Internet much more useful for general purpose...
Persistent link: https://www.econbiz.de/10011726694
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Web mining : applications and techniques
Scime, Anthony (contributor) - 2005
learning from a domain web corpus / Roberto Navigli -- V. Mars / Xiannong Meng, Zhixiang Chen -- VI. Exploiting captions for …
Persistent link: https://www.econbiz.de/10011726695
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Intelligent techniques for warehousing and mining sensor network data
Cuzzocrea, Alfredo (contributor) - 2010
This book presents fundamental and theoretical issues pertaining to data management. Covering a broad range of topics on warehousing and mining sensor networks, this advanced title provides significant industry solutions to those in database, data warehousing, and data mining research communities.
Persistent link: https://www.econbiz.de/10011726728
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Strategic advancements in utilizing data mining and warehousing technologies : new concepts and developments
Taniar, David (contributor); Rusu, Laura Irina (contributor) - 2010
This book discusses developments in data mining and warehousing as well as techniques for successful implementation. Contributions investigate theoretical queries along with real-world applications, providing a useful foundation for academicians and practitioners to research new techniques and...
Persistent link: https://www.econbiz.de/10011726730
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Cases on health outcomes and clinical data mining : studies and frameworks
Cerrito, Patricia B. (contributor) - 2010
The studies in this book use non-traditional, exploratory data analysis and data mining tools to examine health outcomes, finding patterns and trends in observational data. This book is ideal for the next generation of data mining practitioners--Provided by publisher.
Persistent link: https://www.econbiz.de/10011726766
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Intelligent soft computation and evolving data mining : integrating advanced technologies
Wang, Leon Shyue-Liang (contributor);  … - 2010
evolutionary learning algorithm / Cheng-Jian Lin, Cheng-Hung Chen -- …. Rainstorm forecasting By mining heterogeneous remote sensed datasets / Yu-Bin Yang, Hui Lin -- 19. Learning verifiable ensembles …
Persistent link: https://www.econbiz.de/10011726787
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Data mining in public and private sectors : organizational and government applications
Stenvall, Jari. (contributor);  … - 2010
The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. This book explores the manifestation of data mining and how it can...
Persistent link: https://www.econbiz.de/10011726823