Data Mining to Business Analytics. Finance, Budgeting and Investments
Data Mining to Business Analytics. Finance, Budgeting and Investments

Author: Jagdish Chandra Patni

Publisher:

Published: 2017-09-12

Total Pages: 56

ISBN-13: 9783668519633

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Academic Paper from the year 2017 in the subject Computer Science - General, grade: 5, University of Petroleum and Energy Studies, language: English, abstract: This paper utilizes the distinctive mining techniques as an answer for business needs. It presents Finance, Budgeting and Investments as the principle working ground for the data mining algorithms actualized. With the increment of monetary globalization and development of information technology, financial data are being produced and gathered at an extraordinary pace. Thus, there has been a basic requirement for automated ways to deal with compelling and proficient usage of gigantic measure of data to support companies and people in doing the Business. Data mining is turning out to be strategically imperative region for some business associations including financial sector. Data mining helps the companies to search for hidden example in a gathering and find obscure relationship in the data. Financial Analysis alludes to the assessment of a business to manage the arranging, budgeting, observing, forecasting, and enhancing of every financial point of interest inside of an association. The task concentrates on comprehension the association's financial health as a major part of reacting to today's inexorably stringent financial reporting prerequisites. It exhibits the capacity of the data mining to robotize the procedure of looking the boundless customer's connected data to discover patterns that are great indicators of the practices of the customer. This will cover the analysis of: Profit arranging, Cash flow analysis, Investment decisions and risk analysis, Dividend Policies and Portfolio Analysis through algorithms like Apriori, Naivebayes, Prediction algorithm and so forth. Along these lines this Data mining arrangement actualizes advanced data analysis techniques utilized by companies for discovering startling patterns extricated from tremendous measures of data, patterns that offer applicable knowledge for

Introduction to Data Mining and its Applications
Introduction to Data Mining and its Applications

Author: S. Sumathi

Publisher: Springer

Published: 2006-10-12

Total Pages: 836

ISBN-13: 3540343512

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This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.

INFORMATION TECHNOLOGY : THEORY AND PRACTICE
INFORMATION TECHNOLOGY : THEORY AND PRACTICE

Author: SINHA, PRADEEP K.

Publisher: PHI Learning Pvt. Ltd.

Published: 2016-03-14

Total Pages: 450

ISBN-13: 8120352246

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This book is based on the premise that knowledge of Information Technology (IT) is essential today for people in every walk of life and all types of profession. It is designed to impart a unified body of knowledge and practice in IT to its readers. Readers can apply this knowledge in innovative ways for various strategic advantages such as increasing productivity, improving quality of products and services, problem solving, decision making, and improving their own and others living standards. The textbook takes a practical approach to introduce the various components of IT to its readers. While doing so, it demonstrates how IT is being used in modern enterprises by various departments to carry out their activities with greater ease, speed, and accuracy than before. It also introduces several new business models and practices made possible due to IT that enterprises are now using for better profitability. In the process, the book provides to its readers a sound foundation of various components and aspects of IT. It also introduces to its readers several latest concepts and technologies in IT such as Wearable computers, Green computing, Cloud computing, Speech recognition and voice response systems, 4G and 5G networks, Big data analytics, Data science, Web 3.0, IPv6, 3D printing, Enterprise 2.0 organization, etc.

Handbook of Quantitative Finance and Risk Management
Handbook of Quantitative Finance and Risk Management

Author: Cheng-Few Lee

Publisher: Springer Science & Business Media

Published: 2010-06-14

Total Pages: 1700

ISBN-13: 0387771174

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Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.

Business Analytics
Business Analytics

Author: Dr. K. Soundararajan

Publisher: Thakur Publication Private Limited

Published: 2022-03-03

Total Pages: 232

ISBN-13: 9354804470

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Buy E-Book of Business Analytics Book For MBA 2nd Semester of Anna University, Chennai

Recent Advancements in Computational Finance and Business Analytics
Recent Advancements in Computational Finance and Business Analytics

Author: Rangan Gupta

Publisher: Springer Nature

Published: 2023-10-29

Total Pages: 642

ISBN-13: 3031380746

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Recent Advancements of Computational Finance and Business Analytics provide a comprehensive overview of the cutting-edge advancements in this dynamic field. By embracing computational finance and business analytics, organizations can gain a competitive edge in an increasingly data-driven and complex business environment. This book has explored the latest developments and breakthroughs in this rapidly evolving domain, providing a comprehensive overview of the current state of computational finance and business analytics. It covers the following dimensions of this domains: Business Analytics Financial Analytics Human Resource Analytics Marketing Analytics

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author: El Bachir Boukherouaa

Publisher: International Monetary Fund

Published: 2021-10-22

Total Pages: 35

ISBN-13: 1589063953

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This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Handbook of Research on Applied AI for International Business and Marketing Applications
Handbook of Research on Applied AI for International Business and Marketing Applications

Author: Christiansen, Bryan

Publisher: IGI Global

Published: 2020-09-25

Total Pages: 702

ISBN-13: 1799850781

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Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students.

Advances in Data Mining Knowledge Discovery and Applications
Advances in Data Mining Knowledge Discovery and Applications

Author: Adem Karahoca

Publisher: BoD – Books on Demand

Published: 2012-09-12

Total Pages: 404

ISBN-13: 9535107488

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Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications.

Making the Compelling Business Case
Making the Compelling Business Case

Author: W. Messner

Publisher: Springer

Published: 2013-11-26

Total Pages: 463

ISBN-13: 1137340576

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Providing the necessary background information and hands-on tools to build compelling business cases, this book will increase the reader's capability to champion new business development ideas, take them to senior management, and facilitate the decision process by understanding the key theories and practices of finance and corporate investments.