data mining in finance

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  Data Mining in Finance - Google Books

  2000430 · Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining.

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  Clustering Approaches for Financial Data Analysis: a Survey

  2021811 · Abstract—Nowadays, financial data analysis is becoming increasingly important in the business market. As companies collect more and more data from daily operations, they expect to extract useful knowledge from existing collected data to help make reasonable decisions for new customer requests, e.g. user credit category, …

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  Mining Data for Financial Applications - Springer

  2019916 · The MIDAS 2019 proceedings book is dealing with challenges, potentialities, and applications of leveraging data-mining tasks to tackle problems in the financial domain. It focuses on findings, knowledge, insights, experience and lessons learned from mining data generated in various domains.

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  APPLICATIONS OF DATA MINING IN FINANCE - IJIERT

  2018228 · Finance is one of the most appealing data mining application areas in these new technologies. As a means of managing large data, enterprise efficiency, and business intelligence, data mining and machine learning are critical. In the financial business, data mining is extremely valuable.

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  12 Use Cases of Data Mining Services in Finance Industry

  2024219 · Dive into the blog to see how data mining in financial services is truly a game changer, assisting institutes with underwriting, market trend analysis, customer churn, and a lot more.

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  What is Data Mining? Everything You Need to Know (2023)

  5  · Data mining is the process of uncovering valuable insights from large data sets through the use of sophisticated algorithms and analysis. It can provide businesses with the ability to make better decisions, identify potential opportunities, and help predict outcomes.

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  Application of Data Mining Techniques in the Banking Sector

  20221216 · This article introduces the reader to the field of data mining. It describes how it has been used in the financial sector to improve the efficiency of specific critical business procedures.

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  Discovering golden nuggets: data mining in financial application

  20041025 · With the increase of economic globalization and evolution of information technology, financial data are being generated and accumulated at an unprecedented pace. As a result, there has been a critical need for automated approaches to effective and efficient utilization of massive amount of financial data to support companies and individuals in …

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  Data Mining in Finance - Google Books

  20051211 · Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining.

  view more
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  Data Mining in Finance: Advances in Relational and Hybrid …

  19991231 · Chapter 4. Relational Data Mining (RDM) 4.1. Introduction. Data Mining methods map objects onto target values by discovere d. regularities in the data. These objects and mappings should be ...

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