Resumes & CV records
Resumes
Shiping Liu
Shiping L LiuSan Francisco, CA
Shiping Liu Phones & Addresses
San Francisco, CA
Millbrae, CA
Mentions for Shiping L Liu
Publications & IP owners
Us Patents
Method And Apparatus For Identifying Cross-Selling Opportunities Based On Profitability Analysis
US Patent:
2003008, May 8, 2003
Filed:
Nov 7, 2001
Appl. No.:
10/008731
Inventors:
Shiping Liu - Castro Valley CA, US
Jenny Yap - Singapore, SG
Jenny Yap - Singapore, SG
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F017/60
US Classification:
705/036000
Abstract:
A method and apparatus for identifying cross-selling opportunities based on profitability analysis in addition to association analysis are provided. With the apparatus and method, product holding and service information is extracted for each customer of an enterprise. The product or service profits are then calculated and categorized into profit levels. These profit levels are then embedded into the product/service information and is formatted for data mining. Data mining is then performed on the embedded and formatted data. The data mining results in an association analysis generating association rules. The association rules that result in a net profit for the enterprise as determined from the embedded profit levels, are identified. These association rules are then used to identify the customers to which cross-selling of the products/services in the association rule may be offered.
Method And Apparatus For Identifying Cross-Selling Opportunities Based On Profitability Analysis
US Patent:
2007023, Oct 4, 2007
Filed:
Jun 14, 2007
Appl. No.:
11/763403
Inventors:
Shiping Liu - Castro Valley CA, US
Jenny Yap - Singapore, SG
Jenny Yap - Singapore, SG
International Classification:
G06Q 40/00
US Classification:
705035000
Abstract:
A method and apparatus for identifying cross-selling opportunities based on profitability analysis in addition to association analysis are provided. With the apparatus and method, product holding and service information is extracted for each customer of an enterprise. The product or service profits are then calculated and categorized into profit levels. These profit levels are then embedded into the product/service information and is formatted for data mining. Data mining is then performed on the embedded and formatted data. The data mining results in an association analysis generating association rules. The association rules that result in a net profit for the enterprise as determined from the embedded profit levels, are identified. These association rules are then used to identify the customers to which cross-selling of the products/services in the association rule may be offered.
Method And System For Identifying Consumer Credit Revolvers With Neural Network Time Series Segmentation
US Patent:
6556979, Apr 29, 2003
Filed:
Jun 19, 2000
Appl. No.:
09/596898
Inventors:
Shiping Liu - Castro Valley CA
Edgar Leroy Murphy - Southlake TX
David Wayne Nanek - Stormville NY
Michael Rothman - Hopewell Junction NY
Edgar Leroy Murphy - Southlake TX
David Wayne Nanek - Stormville NY
Michael Rothman - Hopewell Junction NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06E 100
US Classification:
706 20, 705 38
Abstract:
Initially, customer time series credit files are acquired. The credit files are organized in a data mart environment for supporting a query system. Time series utilization attributes are created and a neural network time series segmentation process is applied and NÃN dimension segments are generated for analysis. The chart may be modified to more accurately depict profitable credit revolvers. Credit data from each potential new customer is processed in a similar fashion by the neural network segmentation process. Profitable credit revolvers are identified by having credit utilization patterns belonging to profitable segments previously identified.
Possible Relatives
NOTICE: You may not use BackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. BackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.