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Predictive Models To Risk Analysis With Neural Networks Regression And Decision Trees
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Book Synopsis PREDICTIVE MODELS TO RISK ANALYSIS WITH NEURAL NETWORKS. REGRESSION AND DECISION TREES by :
Download or read book PREDICTIVE MODELS TO RISK ANALYSIS WITH NEURAL NETWORKS. REGRESSION AND DECISION TREES written by and published by CESAR PEREZ. This book was released on with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential aim of this book is to use predictive models to analyze risk. Models of decision trees, regression and neural networks are used to predict various risk categories. This book shows you how to build decision tree models to predict a categorical target and how to build regression tree models and neural network models to predict a continuous target. Successive chapters present examples that clarify the application of the models in the field of risk. The examples are solved step by step with SAS Enterprise Miner in order to make easier the understanding of the methodologies used. The book begins by introducing the basics of creating a project, manipulating data sources, and navigating through different results windows. Data Mining tools are used to build the main risk models: Decision Tree, Neural Network, and Regression.
Book Synopsis Predictive Modeling with SAS Enterprise Miner by : Kattamuri S. Sarma
Download or read book Predictive Modeling with SAS Enterprise Miner written by Kattamuri S. Sarma and published by SAS Institute. This book was released on 2017-07-20 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: « Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. »--
Book Synopsis Proceedings of the 7th International Conference on Economic Management and Green Development by : Xiaolong Li
Download or read book Proceedings of the 7th International Conference on Economic Management and Green Development written by Xiaolong Li and published by Springer Nature. This book was released on with total page 2095 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence for Business Analytics by : Felix Weber
Download or read book Artificial Intelligence for Business Analytics written by Felix Weber and published by Springer Nature. This book was released on 2023-03-01 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitalization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies.Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods.This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. This book is a translation of the original German 1st edition Künstliche Intelligenz für Business Analytics by Felix Weber, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1522556443 Total Pages :2390 pages Book Rating :4.5/5 (225 download)
Book Synopsis Intelligent Systems: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources
Download or read book Intelligent Systems: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-06-04 with total page 2390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ongoing advancements in modern technology have led to significant developments in intelligent systems. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Intelligent Systems: Concepts, Methodologies, Tools, and Applications contains a compendium of the latest academic material on the latest breakthroughs and recent progress in intelligent systems. Including innovative studies on information retrieval, artificial intelligence, and software engineering, this multi-volume book is an ideal source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of intelligent systems.
Book Synopsis Risk Assessment and Financial Regulation in Emerging Markets' Banking by : Alexander M. Karminsky
Download or read book Risk Assessment and Financial Regulation in Emerging Markets' Banking written by Alexander M. Karminsky and published by Springer Nature. This book was released on 2021-05-11 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various approaches in modelling financial risks and compiling ratings. Focusing on emerging markets, it illustrates how risk assessment is performed and analyses the use of machine learning methods for financial risk assessment and measurement. It not only offers readers insights into the differences between emerging and developed markets, but also helps them understand the development of risk management approaches for banks. Highlighting current problems connected with the evaluation and modelling of financial risks in the banking sector of emerging markets, the book presents the methodologies applied to credit and market financial risks and integrated and payment risks, and discusses the outcomes. In addition it explores the systemic risks and innovations in banking and risk management by analyzing the features of risk measurement in emerging countries. Lastly, it demonstrates the aggregation of approaches to financial risk for emerging financial markets, comparing the experiences of various countries, including Russia, Belarus, China and Brazil.
Book Synopsis Audit Analytics in the Financial Industry by : Jun Dai
Download or read book Audit Analytics in the Financial Industry written by Jun Dai and published by Emerald Group Publishing. This book was released on 2019-10-28 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Split into six parts, contributors explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Chapters include topics such as fraud risks in the credit card sector, clustering techniques, fraud and anomaly detection, and using Audit Analytics to assess risk in the lawsuit and payment processes.
Book Synopsis Big data analytics for smart healthcare applications by : Celestine Iwendi
Download or read book Big data analytics for smart healthcare applications written by Celestine Iwendi and published by Frontiers Media SA. This book was released on 2023-04-17 with total page 1365 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Geo-information for Disaster Monitoring and Management by : Prem C. Pandey
Download or read book Geo-information for Disaster Monitoring and Management written by Prem C. Pandey and published by Springer Nature. This book was released on with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management by : Vincent G. Duffy
Download or read book Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management written by Vincent G. Duffy and published by Springer Nature. This book was released on with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Big Data Research Methods by : Shahriar Akter
Download or read book Handbook of Big Data Research Methods written by Shahriar Akter and published by Edward Elgar Publishing. This book was released on 2023-06-01 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.
Book Synopsis Predicting Natural Disasters With AI and Machine Learning by : Satishkumar, D.
Download or read book Predicting Natural Disasters With AI and Machine Learning written by Satishkumar, D. and published by IGI Global. This book was released on 2024-02-16 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.
Book Synopsis Global COVID-19 Research and Modeling by : Longbing Cao
Download or read book Global COVID-19 Research and Modeling written by Longbing Cao and published by Springer Nature. This book was released on with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Management and Acquisition for Smart Systems and Services by : Debbie Richards
Download or read book Knowledge Management and Acquisition for Smart Systems and Services written by Debbie Richards and published by Springer Science & Business Media. This book was released on 2010-08-11 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes the thoroughly refereed proceedings of the 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services, held in Daegue, Korea in August 2010 in conjunction with the Pacific Rim International Conference on Artificial Intelligence, PRICAI 2010. The 26 revised full papers were selected from 94 submissions and are organized in topical sections on Machine Learning, Data Mining, Knowledge Engineering & Ontology, Incremental Knowledge Acquisition, KA Applications in Internet and Mobile Computing and KA Applications in Multimedia and Games.
Book Synopsis Analytics and Data Science by : Amit V. Deokar
Download or read book Analytics and Data Science written by Amit V. Deokar and published by Springer. This book was released on 2017-10-05 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science.
Book Synopsis Flood Forecasting Using Machine Learning Methods by : Fi-John Chang
Download or read book Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and published by MDPI. This book was released on 2019-02-28 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.
Book Synopsis Bioinformatics by : Dev Bukhsh Singh
Download or read book Bioinformatics written by Dev Bukhsh Singh and published by Academic Press. This book was released on 2021-10-21 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics.It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities. - Covers basic and more advanced developments of bioinformatics with a diverse and interdisciplinary approach to fulfill the needs of readers from different backgrounds - Explains in a practical way how to decode complex biological problems using computational approaches and resources - Brings case studies, real-world examples and several protocols to guide the readers with a problem-solving approach
