Emerging Methods in Predictive Analytics: Risk Management and Decision-Making
Emerging Methods in Predictive Analytics: Risk Management and Decision-Making

Author: Hsu, William H.

Publisher: IGI Global

Published: 2014-01-31

Total Pages: 447

ISBN-13: 1466650648

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Decision making tools are essential for the successful outcome of any organization. Recent advances in predictive analytics have aided in identifying particular points of leverage where critical decisions can be made. Emerging Methods in Predictive Analytics: Risk Management and Decision Making provides an interdisciplinary approach to predictive analytics; bringing together the fields of business, statistics, and information technology for effective decision making. Managers, business professionals, and decision makers in diverse fields will find the applications and cases presented in this text essential in providing new avenues for risk assessment, management, and predicting the future outcomes of their decisions.

Emerging Methods in Predictive Analytics
Emerging Methods in Predictive Analytics

Author:

Publisher:

Published: 2014

Total Pages: 425

ISBN-13: 9781466650657

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This book provides an interdisciplinary approach to predictive analytics, bringing together the fields of business, statistics, and information technology for effective decision making

Data Analytics in Digital Humanities
Data Analytics in Digital Humanities

Author: Shalin Hai-Jew

Publisher: Springer

Published: 2017-05-03

Total Pages: 304

ISBN-13: 3319544993

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This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.

Improving Knowledge Discovery through the Integration of Data Mining Techniques
Improving Knowledge Discovery through the Integration of Data Mining Techniques

Author: Usman, Muhammad

Publisher: IGI Global

Published: 2015-08-03

Total Pages: 418

ISBN-13: 146668514X

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Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Mobile Technologies for Activity-Travel Data Collection and Analysis
Mobile Technologies for Activity-Travel Data Collection and Analysis

Author: Rasouli, Soora

Publisher: IGI Global

Published: 2014-06-30

Total Pages: 426

ISBN-13: 1466661712

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"This book concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry, providing travel agents, visitors, and hosts with the most advanced data mining methods, empirical research findings, and computational analysis techniques necessary to compete effectively in the global tourism industry"--Provided by publisher.

Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Author: Alam, Shafiq

Publisher: IGI Global

Published: 2014-05-31

Total Pages: 397

ISBN-13: 1466660791

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Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques. Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Handbook of Research on Cloud Infrastructures for Big Data Analytics
Handbook of Research on Cloud Infrastructures for Big Data Analytics

Author: Raj, Pethuru

Publisher: IGI Global

Published: 2014-03-31

Total Pages: 592

ISBN-13: 1466658657

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Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Data Mining and Analysis in the Engineering Field
Data Mining and Analysis in the Engineering Field

Author: Bhatnagar, Vishal

Publisher: IGI Global

Published: 2014-05-31

Total Pages: 433

ISBN-13: 1466660872

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Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization. Data Mining and Analysis in the Engineering Field explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.

The Digital Journey of Banking and Insurance, Volume I
The Digital Journey of Banking and Insurance, Volume I

Author: Volker Liermann

Publisher: Springer Nature

Published: 2021-10-30

Total Pages: 349

ISBN-13: 3030788148

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This book, one of three volumes, showcases the effective transformation of companies providing banking and insurance services. This first volume gives a business-oriented introduction to the setting and the current challenges of fintech, regtech, and insurtech and provides an outlook on what will be needed in the future. Specific sub-departments in financial services are examined with a view to accounting, risk, and regulatory segments. The book also addresses the importance of cultural aspects of the coming digital transformation with an eye to requirements that will enable a digital bank or insurance company to thrive in 2025. The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between.

Modern Computational Models of Semantic Discovery in Natural Language
Modern Computational Models of Semantic Discovery in Natural Language

Author: Žižka, Jan

Publisher: IGI Global

Published: 2015-07-17

Total Pages: 353

ISBN-13: 146668691X

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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.