Big Data, Data Mining, and Machine Learning

Value Creation for Business Leaders and Practitioners

Author: Jared Dean

Publisher: John Wiley & Sons

ISBN: 1118920708

Category: Computers

Page: 288

View: 1128

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With big data analytics comes big insights intoprofitability Big data is big business. But having the data and thecomputational power to process it isn't nearly enough to producemeaningful results. Big Data, Data Mining, and Machine Learning:Value Creation for Business Leaders and Practitioners is acomplete resource for technology and marketing executives lookingto cut through the hype and produce real results that hit thebottom line. Providing an engaging, thorough overview of thecurrent state of big data analytics and the growing trend towardhigh performance computing architectures, the book is adetail-driven look into how big data analytics can be leveraged tofoster positive change and drive efficiency. With continued exponential growth in data and ever morecompetitive markets, businesses must adapt quickly to gain everycompetitive advantage available. Big data analytics can serve asthe linchpin for initiatives that drive business, but only if theunderlying technology and analysis is fully understood andappreciated by engaged stakeholders. This book provides a view intothe topic that executives, managers, and practitioners require, andincludes: A complete overview of big data and its notablecharacteristics Details on high performance computing architectures foranalytics, massively parallel processing (MPP), and in-memorydatabases Comprehensive coverage of data mining, text analytics, andmachine learning algorithms A discussion of explanatory and predictive modeling, and howthey can be applied to decision-making processes Big Data, Data Mining, and Machine Learning providestechnology and marketing executives with the complete resource thathas been notably absent from the veritable libraries of publishedbooks on the topic. Take control of your organization's big dataanalytics to produce real results with a resource that iscomprehensive in scope and light on hyperbole.
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Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 152251760X

Category: Computers

Page: 3048

View: 8744

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Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.
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Global Security, Safety and Sustainability: Tomorrow’s Challenges of Cyber Security

10th International Conference, ICGS3 2015, London, UK, September 15-17, 2015. Proceedings

Author: Hamid Jahankhani,Alex Carlile,Babak Akhgar,Amie Taal,Ali G. Hessami,Amin Hosseinian-Far

Publisher: Springer

ISBN: 3319232762

Category: Computers

Page: 361

View: 4124

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This book constitutes the refereed proceedings of the 10th International Conference on Global Security, Safety and Sustainability, ICGS3 2015, held in London, UK, in September 2015. The 31 revised full papers presented were carefully reviewed and selected from 57 submissions. The papers focus on the challenges of complexity, rapid pace of change and risk/opportunity issues associated with the 21st century living style, systems and infrastructures.
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Modern Computational Models of Semantic Discovery in Natural Language

Author: Žižka, Jan

Publisher: IGI Global

ISBN: 146668691X

Category: Computers

Page: 335

View: 9775

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Language—that is, oral or written content that references abstract concepts in subtle ways—is what sets us apart as a species, and in an age defined by such content, language has become both the fuel and the currency of our modern information society. This has posed a vexing new challenge for linguists and engineers working in the field of language-processing: how do we parse and process not just language itself, but language in vast, overwhelming quantities? Modern Computational Models of Semantic Discovery in Natural Language compiles and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age. This comprehensive publication benefits an audience of students and professionals, researchers, and practitioners of linguistics and language discovery. This book includes a comprehensive range of topics and chapters covering digital media, social interaction in online environments, text and data mining, language processing and translation, and contextual documentation, among others.
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Management Approach for Resource-Productive Operations

Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma

Author: Markus Hammer

Publisher: Springer

ISBN: 365822939X

Category: Business & Economics

Page: 258

View: 9070

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Markus Hammer investigates a time-based and analytics-supported operations management approach. He explores five perspectives: 1) the needs of industry, in particular manufacturing in process industries, 2) the impact of digitization, with focus on Big Data and analytics, 3) the management of operations through time-based performance metrics, 4) how operations improvement methods and advanced process control help achieve resource-productive operations and 5) learning from practice based on two empirical case studies. The author conceives, explains, and tests an implementation methodology. The final case study proves that the developed implementation methodology works in practice.
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