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US5970464A Expired / Lapsed US ⏱️ 0.0 years remaining

Data mining based underwriting profitability analysis

Assignee: International Business Machines Corp
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Filing: 1997-09-10
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Granted: 1999-10-19
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Expires: 2017-09-10
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Abstract

Abstract A computer implemented method of underwriting profitability analysis delivers the analytic process to a wide cross section of insurance decision makers. The underwriting profitability analysis system leverages an existing investment in databases and improves underwriting business processes. Data mining techniques are applied to historical policy and claims to extract rules that describe policy holders with homogeneous claim frequency and severity characteristics. These rule sets are used to classify policy holders into distinct risk groups, each with its own set of characteristics, including pure premium. Breaking up a book of business into segments allows identification of sub-populations of policy holders that distinctly deviate from the expected normal pure premium. This identification allow the insurance business analysts to interactively adjust eligibility criteria and examine altered characteristics of the covered segments until satisfactory. The system is implemented on a client server using network centric language technology.

Inventors

  • 👤 Chidanand Vinayak Apte
  • 👤 Edna Grossman
  • 👤 Edwin Peter Dawson Pednault
  • 👤 Barry Kumin Rosen
  • 👤 Fateh Ali Tipu
  • 👤 Hsueh-ju Wang
  • 👤 Brian Frederick White

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-10-28 11:42
CPC Classifications
G; G06; G06Q; G06Q40/00; G06Q40/08; G06Q10/00; G06Q10/06; G06Q10/063; G06Q10/0635

Claims Analysis

Total Claims: 7
Claim 1
Independent Claim 101 words
A computer implemented method of underwriting profitability analysis comprising the steps of: accessing existing databases of historical policy and claims; initiating data mining techniques to the accessed data to extract rules that describe policy holders with homogeneous claim frequency and claim severity characteristics; using the extracted rules to classify policy holders into distinct risk groups, each with its own set of characteristics, including pure premium; and identifying sub-populations of policy holders that distinctly deviate from the expected normal pure premium to allow the insurance business analysts to interactively adjust the eligibility criteria and examine altered characteristics of the covered risk groups.
Claim 2
Dependent Claim 56 words
The computer implemented method of underwriting profitability analysis recited in claim 1 wherein the method is implemented on a client server platform that employs network centric language technology, thereby allowing a server based analytic methodology that can be simultaneously accessed across an intranet or Internet by several decision makers, from diverse function areas in a firm.
Claim 3
Dependent Claim 59 words
The computer implemented method of underwriting profitability analysis recited in claim 2 wherein the method is implemented using an Internet enabled software platform wherein the application interface is controllable by a user running a light weight Internet client and wherein the data intensive and computer intensive work is performed on a server on a network connected to the Internet.
Claim 4
Dependent Claim 167 words
A computer implemented method of underwriting profitability analysis comprising the steps of: accessing existing databases of historical polic and claims; initiating data mining techniques to the accessed data to extract rules that describe policy holders with homogeneous claim frequency and claim severity characteristics; using the extracted rules to classify policy holders into distinct risk groups, each with its own set of characteristics, including pure premium; and identifying sub-populations of policy holders that distinctly deviate from the expected normal pure premium to allow the insurance business analysts to interactively adjust the eligibility criteria and examine altered characteristics of the covered risk groups, wherein the step of accessing existing databases comprises the steps of: displaying databases for selection by a user; responding to a user selection of a database by requesting data from data storage and computing univariate statistics; updating and parsing meta-data and returning updated and parsed meta-data in response to the data request; and generating and displaying a data summary of the returned updated and parsed meta-data.
Claim 5
Dependent Claim 70 words
The computer implemented method of underwriting profitability analysis recited in claim 4 wherein the step of initiating data mining techniques comprises the steps of: responding to a user selection of a data set for a data mining operation by mining data in the selected data set to produce policy pure premium prediction rules and storing the rules; and displaying a data summary of rule sets from the data mining operation.
Claim 6
Dependent Claim 63 words
The computer implemented method of underwriting profitability analysis recited in claim 5 wherein the step of using the extracted rules to classify policy holders into distinct risk groups comprises the steps of: responding to a user selection of a rule set by displaying summary statistics of the selected rule set; and editing the rule set in response to editing commands from the user.
Claim 7
Dependent Claim 57 words
The computer implemented method of underwriting profitability analysis recited in claim 6 wherein the step of identifying sub-populations of policy holders comprises the steps of: receiving user input specified data set, rule set and product eligibility criteria; segmenting the data set by eligibility criteria and rule set; and displaying a segmentation table of the segmented data set.

References Cited (Backward Citations)

US4766539A Cited
US4975840A Cited
US5712984A Cited
US5586313A Cited
US5692107A Cited
US5752237A Cited
US5809478A Cited
US5781911A Cited

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2002-10-18 2003-04-19 2003-10-19 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2006-10-18 2007-04-19 2007-10-19 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2010-10-18 2011-04-19 2011-10-19 $7700.00 Window Closed / Lapsed

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