Computational Intelligence For Business Analytics

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Computational Intelligence for Business Analytics

Witold Pedrycz,Luis Martínez,Rafael Alejandro Espin-Andrade,Gilberto Rivera,Jorge Marx Gómez
Computational Intelligence for Business Analytics Book PDF

Author : Witold Pedrycz,Luis Martínez,Rafael Alejandro Espin-Andrade,Gilberto Rivera,Jorge Marx Gómez
Publisher : Springer Nature
Page : 417 pages
File Size : 44,8 Mb
Release : 2021-10-26
Category : Technology & Engineering
ISBN : 9783030738198

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Computational Intelligence for Business Analytics by Witold Pedrycz,Luis Martínez,Rafael Alejandro Espin-Andrade,Gilberto Rivera,Jorge Marx Gómez Pdf

Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.

Computational Intelligence in Business Analytics

Les Sztandera
Computational Intelligence in Business Analytics Book PDF

Author : Les Sztandera
Publisher : FT Press
Page : 128 pages
File Size : 52,6 Mb
Release : 2014-05-26
Category : Computers
ISBN : 9780133552133

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Computational Intelligence in Business Analytics by Les Sztandera Pdf

Use computational intelligence to drive more value from business analytics, overcome real-world uncertainties and complexities, and make better decisions. Drawing on his pioneering experience as an instructor and researcher, Dr. Les Sztandera thoroughly illuminates today's key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. Sztandera demystifies artificial neural networks, genetic algorithms, and fuzzy systems, and guides you through using them to model, discover, and interpret new patterns that can't be found through statistical methods alone. Packed with relevant case studies and examples, this guide demonstrates: Customer segmentation for direct marketing Customer profiling for relationship management Efficient mailing campaigns Customer retention Identification of cross-selling opportunities Credit score analysis Detection of fraudulent behavior and transactions Hedge fund strategies, and more Szandera shows how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. He also shows how to complement computational intelligence with visualization, explorative interfaces and advanced reporting, thereby empowering business users and enterprise stakeholders to take full advantage of it. For analytics professionals, managers, and students.

Computational Intelligence in Communications and Business Analytics

Paramartha Dutta,Jyotsna K. Mandal,Somnath Mukhopadhyay
Computational Intelligence in Communications and Business Analytics Book PDF

Author : Paramartha Dutta,Jyotsna K. Mandal,Somnath Mukhopadhyay
Publisher : Springer Nature
Page : 273 pages
File Size : 40,6 Mb
Release : 2021-05-25
Category : Computers
ISBN : 9783030755294

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Computational Intelligence in Communications and Business Analytics by Paramartha Dutta,Jyotsna K. Mandal,Somnath Mukhopadhyay Pdf

This book constitutes the refereed proceedings of the Third International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2021, held in Santiniketan, India, in January 2021. The 12 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on computational forensic (privacy and security); computational intelligence; data science and advanced data analytics; and intelligent data mining and data warehousing.

Computational Business Analytics

Subrata Das
Computational Business Analytics Book PDF

Author : Subrata Das
Publisher : CRC Press
Page : 517 pages
File Size : 48,7 Mb
Release : 2013-12-14
Category : Business & Economics
ISBN : 9781439890707

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Computational Business Analytics by Subrata Das Pdf

Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies. The book first covers core descriptive and inferential statistics for analytics. The author then enhances numerical statistical techniques with symbolic artificial intelligence (AI) and machine learning (ML) techniques for richer predictive and prescriptive analytics. With a special emphasis on methods that handle time and textual data, the text: Enriches principal component and factor analyses with subspace methods, such as latent semantic analyses Combines regression analyses with probabilistic graphical modeling, such as Bayesian networks Extends autoregression and survival analysis techniques with the Kalman filter, hidden Markov models, and dynamic Bayesian networks Embeds decision trees within influence diagrams Augments nearest-neighbor and k-means clustering techniques with support vector machines and neural networks These approaches are not replacements of traditional statistics-based analytics; rather, in most cases, a generalized technique can be reduced to the underlying traditional base technique under very restrictive conditions. The book shows how these enriched techniques offer efficient solutions in areas, including customer segmentation, churn prediction, credit risk assessment, fraud detection, and advertising campaigns.

Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu
Computational Intelligence Applications in Business Intelligence and Big Data Analytics Book PDF

Author : Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu
Publisher : CRC Press
Page : 362 pages
File Size : 42,5 Mb
Release : 2017-06-26
Category : Computers
ISBN : 9781351720250

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Computational Intelligence Applications in Business Intelligence and Big Data Analytics by Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu Pdf

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.

Handbook of Research on Foundations and Applications of Intelligent Business Analytics

Sun, Zhaohao,Wu, Zhiyou
Handbook of Research on Foundations and Applications of Intelligent Business Analytics Book PDF

Author : Sun, Zhaohao,Wu, Zhiyou
Publisher : IGI Global
Page : 425 pages
File Size : 53,5 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781799890188

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Handbook of Research on Foundations and Applications of Intelligent Business Analytics by Sun, Zhaohao,Wu, Zhiyou Pdf

Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

Artificial Intelligence and Computing Logic

Cyrus F. Nourani
Artificial Intelligence and Computing Logic Book PDF

Author : Cyrus F. Nourani
Publisher : CRC Press
Page : 273 pages
File Size : 52,8 Mb
Release : 2021-12-23
Category : Computers
ISBN : 9781000400908

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Artificial Intelligence and Computing Logic by Cyrus F. Nourani Pdf

Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.

Artificial Intelligence for Business

Doug Rose
Artificial Intelligence for Business Book PDF

Author : Doug Rose
Publisher : FT Press
Page : 292 pages
File Size : 41,8 Mb
Release : 2020-12-09
Category : Business & Economics
ISBN : 9780136556664

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Artificial Intelligence for Business by Doug Rose Pdf

The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond Artificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early “expert systems” to advanced deep learning networks. First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems. Compare the ways a machine can learn, and explore current leading ML algorithms Start with the right problems, and avoid common AI/ML project mistakes Use neural networks to automate decision-making and identify unexpected patterns Help neural networks learn more quickly and effectively Harness AI chatbots, virtual assistants, virtual agents, and conversational AI applications

A Primer on Business Analytics

Yudhvir Seetharam
A Primer on Business Analytics Book PDF

Author : Yudhvir Seetharam
Publisher : IAP
Page : 155 pages
File Size : 54,6 Mb
Release : 2022-01-01
Category : Computers
ISBN : 9781648028205

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A Primer on Business Analytics by Yudhvir Seetharam Pdf

This book will provide a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. Business analytics, in the context of the 4th Industrial Revolution, is the “new normal” for businesses that operate in this digital age. This book provides a comprehensive primer and overview of the field (and related fields such as Business Intelligence and Data Science). It will discuss the field as it applies to financial institutions, with some minor departures to other industries. Readers will gain understanding and insight into the field of data science, including traditional as well as emerging techniques. Further, many chapters are dedicated to the establishment of a data-driven team – from executive buy-in and corporate governance to managing and quantifying the return of data-driven projects.

Computational Intelligence in Communications and Business Analytics

Paramartha Dutta,Jyotsna Kumar Mandal,Somnath Mukhopadhyay
Computational Intelligence in Communications and Business Analytics Book PDF

Author : Paramartha Dutta,Jyotsna Kumar Mandal,Somnath Mukhopadhyay
Publisher : Unknown
Page : 273 pages
File Size : 50,6 Mb
Release : 2021
Category : Computational intelligence
ISBN : 3030755304

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Computational Intelligence in Communications and Business Analytics by Paramartha Dutta,Jyotsna Kumar Mandal,Somnath Mukhopadhyay Pdf

This book constitutes the refereed proceedings of the Third International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2021, held in Santiniketan, India, in January 2021. The 12 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on computational forensic (privacy and security); computational intelligence; data science and advanced data analytics; and intelligent data mining and data warehousing.

Artificial Intelligence for Business Optimization

Bhuvan Unhelkar,Tad Gonsalves
Artificial Intelligence for Business Optimization Book PDF

Author : Bhuvan Unhelkar,Tad Gonsalves
Publisher : CRC Press
Page : 295 pages
File Size : 43,9 Mb
Release : 2021-08-09
Category : Business & Economics
ISBN : 9781000409475

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Artificial Intelligence for Business Optimization by Bhuvan Unhelkar,Tad Gonsalves Pdf

This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit. By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them. It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.

Computational Intelligence, Communications, and Business Analytics

Jyotsna Kumar Mandal,Somnath Mukhopadhyay,Paramartha Dutta,Kousik Dasgupta
Computational Intelligence Communications and Business Analytics Book PDF

Author : Jyotsna Kumar Mandal,Somnath Mukhopadhyay,Paramartha Dutta,Kousik Dasgupta
Publisher : Springer
Page : 512 pages
File Size : 51,6 Mb
Release : 2019-06-24
Category : Computers
ISBN : 9789811385780

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Computational Intelligence, Communications, and Business Analytics by Jyotsna Kumar Mandal,Somnath Mukhopadhyay,Paramartha Dutta,Kousik Dasgupta Pdf

The two volume set CCIS 1030 and 1031 constitutes the refereed proceedings of the Second International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2018, held in Kalyani, India, in July 2018. The 76 revised full papers presented in the two volumes were carefully reviewed and selected from 240 submissions. The papers are organized in topical sections on computational intelligence; signal processing and communications; microelectronics, sensors, and intelligent networks; data science & advanced data analytics; intelligent data mining & data warehousing; and computational forensics (privacy and security).

Video Analytics for Business Intelligence

Caifeng Shan,Fatih Porikli,Tao Xiang,Shaogang Gong
Video Analytics for Business Intelligence Book PDF

Author : Caifeng Shan,Fatih Porikli,Tao Xiang,Shaogang Gong
Publisher : Springer Science & Business Media
Page : 374 pages
File Size : 48,6 Mb
Release : 2012-04-07
Category : Computers
ISBN : 9783642285974

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Video Analytics for Business Intelligence by Caifeng Shan,Fatih Porikli,Tao Xiang,Shaogang Gong Pdf

Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice.

Artificial Intelligence for Business Analytics

Felix Weber
Artificial Intelligence for Business Analytics Book PDF

Author : Felix Weber
Publisher : Unknown
Page : 0 pages
File Size : 44,5 Mb
Release : 2023
Category : Electronic
ISBN : 3658376007

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Artificial Intelligence for Business Analytics by Felix Weber Pdf

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 digitization, 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 based on 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. The Content Business Analytics Artificial Intelligence AI and BA platforms Technology framework and procedure model as reference Case studies on the use of AI-based business analytics The Author Felix Weber is a researcher at the University of Duisburg-Essen with a focus on digitalization, artificial intelligence, price, promotion, assortment management, and transformation management. At the Chair of Business Informatics and Integrated Information Systems, he founded the Retail Artificial Intelligence Lab (retAIL). At the same time, he also worked on various jobs as a consultant for SAP systems in retail, Head of Data Science and as Head of ERP. He thus combines current practice with scientific research in this subfield. This book is a translation of an original German edition. 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.

AI Meets BI

Lakshman Bulusu,Rosendo Abellera
AI Meets BI Book PDF

Author : Lakshman Bulusu,Rosendo Abellera
Publisher : CRC Press
Page : 0 pages
File Size : 42,5 Mb
Release : 2020-11-03
Category : Computers
ISBN : 9781000281958

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AI Meets BI by Lakshman Bulusu,Rosendo Abellera Pdf

With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making. Decisions can be made on the basis of more reliable and accurate information and intelligence, which can lead to valuable, actionable insights for business. Previously, BI professionals were stymied by bad or incomplete data, poorly architected solutions, or even just outright incapable systems or resources. With the advent of AI, BI has new possibilities for effectiveness. This is a long-awaited phase for practitioners and developers and, moreover, for executives and leaders relying on knowledgeable and intelligent decision making for their organizations. Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models. The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making. Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI.