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Credit scoring, response modeling, and insurance rating[electronic resource] :a practical guide to forecasting consumer behavior /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	658.8/342
書名/作者:	Credit scoring, response modeling, and insurance rating : a practical guide to forecasting consumer behavior // Steven Finlay.
作者:	Finlay, Steven,
出版者:	Houndmills, Basingstoke, Hampshire ; : Palgrave Macmillan,, 2012.
面頁冊數:	1 online resource (xvii, 297 p.) : : ill.
標題:	Credit analysis.
標題:	Consumer behavior - Forecasting.
標題:	Consumer credit.
標題:	BUSINESS & ECONOMICS / Banks & Banking
標題:	BUSINESS & ECONOMICS / Finance
標題:	COMPUTERS / Data Processing
標題:	BUSINESS & ECONOMICS / Consumer Behavior
標題:	BUSINESS & ECONOMICS / Statistics
ISBN:	9781137031693 (electronic bk.)
ISBN:	1137031697 (electronic bk.)
ISBN:	0230347762
ISBN:	9780230347762
書目註:	Includes bibliographical references and index.
內容註:	Project Planning -- Sample Selection -- Gathering and Preparing Data -- Understanding Relationships in Data -- Data Transformation (Pre-processing) -- Model Construction (Parameter Estimation) -- Validation, Model Performance and Cut-off Strategy -- Sample Bias and Reject Inference -- Implementation and Monitoring -- Multi-model (Fusion) Systems.
摘要、提要註:	Within all large consumer facing organizations, most decisions about how to deal with people are made automatically by computerized decision making systems. Information about people, their lifestyle and past behavior are used to predict how they are expected to behave in the future. It can be determined if someone applying for a bank loan will make their repayments, who will respond to a marketing communication and the likelihood that someone will claim on their insurance policy. This book provides a step-by-step guide to how predictive analytics is used by some of the world's most influential organizations. This includes international banks, leading insurance providers, credit reference agencies and national governments. It covers all stages of the predictive analytics process, including project management, data collection, sampling, data transformation and pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance.
電子資源:	http://www.palgraveconnect.com/doifinder/10.1057/9781137031693

Credit scoring, response modeling, and insurance rating[electronic resource] :a practical guide to forecasting consumer behavior /
Finlay, Steven,1969-

Credit scoring, response modeling, and insurance ratinga practical guide to forecasting consumer behavior /[electronic resource] :Steven Finlay. - 2nd ed. - Houndmills, Basingstoke, Hampshire ;Palgrave Macmillan,2012. - 1 online resource (xvii, 297 p.) :ill.

Includes bibliographical references and index.

Project Planning -- Sample Selection -- Gathering and Preparing Data -- Understanding Relationships in Data -- Data Transformation (Pre-processing) -- Model Construction (Parameter Estimation) -- Validation, Model Performance and Cut-off Strategy -- Sample Bias and Reject Inference -- Implementation and Monitoring -- Multi-model (Fusion) Systems.

Within all large consumer facing organizations, most decisions about how to deal with people are made automatically by computerized decision making systems. Information about people, their lifestyle and past behavior are used to predict how they are expected to behave in the future. It can be determined if someone applying for a bank loan will make their repayments, who will respond to a marketing communication and the likelihood that someone will claim on their insurance policy. This book provides a step-by-step guide to how predictive analytics is used by some of the world's most influential organizations. This includes international banks, leading insurance providers, credit reference agencies and national governments. It covers all stages of the predictive analytics process, including project management, data collection, sampling, data transformation and pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance.

ISBN: 9781137031693 (electronic bk.)

Standard No.: 9786613845115

Source: 532806Palgrave Macmillanhttp://www.palgraveconnect.comSubjects--Topical Terms:

443692
Credit analysis.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: HG3701 / .F55 2012

Dewey Class. No.: 658.8/342

Credit scoring, response modeling, and insurance rating[electronic resource] :a practical guide to forecasting consumer behavior /
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520 $a Within all large consumer facing organizations, most decisions about how to deal with people are made automatically by computerized decision making systems. Information about people, their lifestyle and past behavior are used to predict how they are expected to behave in the future. It can be determined if someone applying for a bank loan will make their repayments, who will respond to a marketing communication and the likelihood that someone will claim on their insurance policy. This book provides a step-by-step guide to how predictive analytics is used by some of the world's most influential organizations. This includes international banks, leading insurance providers, credit reference agencies and national governments. It covers all stages of the predictive analytics process, including project management, data collection, sampling, data transformation and pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance.
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