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. The book ...
Data miningfinancial servicesrelational methodologiesThis paper describes data mining in finance by discussing financial tasks and specifics of methodologies and techniques in this data mining area. It includes time dependence, data selection, forecast horizon, measures of success, quality of patterns, ...
Coverage includes: *Case studies in banking, finance, retail, healthcare, direct marketing, and telecommunications *The data mining process, start to finish *Today's newest, most successful approaches and algorithms *Data mining pitfalls-and how to avoid them *A close look at industry-leading too...
These big data will highlight the important value with the function of data mining technique. The paper discourses the five aspects in which data mining of big data serviced finance industry. This also directs the work direction in future.关键词:...
当当中华商务进口图书旗舰店在线销售正版《海外直订Data Mining in Finance: Advances in Relational and Hybrid Methods 金融领域的数据挖掘:关系和混合方法的进展》。最新《海外直订Data Mining in Finance: Advances in Relational and Hybrid Methods 金融领域的数据挖
This book focuses in particular on data mining techniques used for conducting marketing research. Written by a wide range of contributors from academia and industry, this text provides detailed descriptions of applications in numerous areas, such as finance, engineering, healthcare, economics, science,...
internal operations and for customer experience. On the operations front, data mining can impact everything from human resources to marketing. Specifically for that industry, though, data mining can minimize IT risks, as availability and security are the highest priority for anything involving finance...
The Journal of Finance and Data Science (JFDS) is the leading interdisciplinary journal on finance and data science, providing detailed analyses of theoretical and empirical foundations and their applications in financial economics. JFDS publishes evaluations of both well-established and new … View fu...
The example in this paper is intended as a blatant instance of totally bogus application of data mining in finance. My quantitative investment management equity research group first did this several years ago to make the point about the need to be aware of the risks of data mining in quantitat...