Method for dynamic profiling

• US 7,092,959 B2
• Filed: 01/26/2004
• Issued: 08/15/2006
• Est. Priority Date: 03/23/1999
• Status: Expired due to Fees

• Current Assignee: Hon Hai Precision Industry Co., Ltd.
• Original Assignee: Hon Hai Precision Industry Co., Ltd.
• Inventors: Chen, Li-Wen, Feng, Hwa Chung
• Primary Examiner(s): Pardo, Thuy N.
• Application Number:
  US10/764,644
• Publication Number:
  US 20040158576A1
• Time in Patent Office: 932 Days
• Field of Search: 707/3, 707/5, 707/10, 707/101, 707/102, 707/103, 707/104, 705/10, 705/14, 345/236, 709/206
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2428 Query predicate definition using graphical user interfaces, including menus and forms G06F16/2423 takes precedence
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 2216/03 Data mining
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

According to the invention, techniques for profiling of human behavior based upon analyzing data contained in databases, data marts and data warehouses. In an exemplary embodiment, the invention provides for creating a dynamic customer profile by analyzing relationships in data from one or more data sources of an enterprise. The method can be used with many popular visualization tools, such as On Line Analytical Processing (OLAP) tools and the like. The method is especially useful in conjunction with a meta-model based technique for modeling the enterprise data. The enterprise is typically a business activity, but can also be other loci of human activity. The human behavior profiled is typically that of a customer, but can be any other type of human behavior. Embodiments according to the invention can display data from a variety of sources in order to provide visual representations of data in a data warehousing environment.

Claims

1. A method comprising:

receiving customer information in a first schema database;

receiving a definition of a meta model;

receiving a selection of at least one of a table, a column and a function defining a dynamic expression;

associating the dynamic expression with a first segmentation code value;

segmenting the customer information into at least one of a plurality of groups based upon the meta model and the dynamic expression; and

executing at least one profile formed from the at least one group and the dynamic expression by successively evaluating the dynamic expression, thereby enabling dynamic assignment of customers to groups for organizing the customer information into a second schema database.

2. The method of claim 1, wherein segmenting further comprises:

assigning each customer to a group based upon a value of an attribute corresponding to the customer using the dynamic expression thereby defining the at least one of a plurality of groups.

3. The method of claim 1, wherein segmenting further comprises:

forming at least one of a plurality of expressions, each evaluating to a value.

4. The method of claim 1, wherein the dynamic expression further comprises a plurality of attributes, wherein the attributes are combinable based upon at least one of a plurality of functions.

5. The method of claim 4, wherein at least one of a plurality of functions includes at least one of arithmetic operators and logical operators.

6. The method of claim 3, where segmenting further comprises:

mapping values produced by at least one of a plurality of expressions to at least one of a plurality of segmentation code values.

7. The method of claim 6, wherein mapping further comprises:

assigning numeric values to particular ones of a plurality of segmentation code values.

8. The method of claim 6, wherein mapping further comprises:

assigning enumerative values to particular ones of the plurality of segmentation code values.

9. The method of claim 6, wherein mapping further comprises:

mapping a range of expressions to at least one segmentation code value.

10. The method of claim 2, the at least one attribute includes at least one of age and income.

11. A computer readable medium comprising:

instructions for causing one or more processors to receive customer information in a first schema database;

instructions for causing one or more processors to receive a definition of a meta model;

instructions for causing one or more processors to receive a selection of at least one of a table, a column and a function defining a dynamic expression;

instructions for causing one or more processors to associate the dynamic expression with a first segmentation code value;

instructions for causing one or more processors to segment the customer information into at least one of a plurality of groups based upon the meta model and the dynamic expression; and

instructions for causing one or more processors to execute at least one profile formed from the at least one group and the dynamic expression by successively evaluating the dynamic expression, thereby enabling dynamic assignment of customers to groups for organizing the customer information into a second schema database.

12. The computer readable medium of claim 11, wherein instructions for causing one or more processors to segment further comprises:

instructions for causing one or more processors to assign each customer to a group based upon a value of an attribute corresponding to the customer using the dynamic expression thereby defining the at least one of a plurality of groups.

13. The computer readable medium of claim 11, wherein instructions for causing one or more processors to segment further comprises:

instructions for causing one or more processors to form at least one of a plurality of expressions, each evaluating to a value.

14. The computer readable medium of claim 11, wherein the dynamic expression further comprises a plurality of attributes, wherein the attributes are combinable based upon at least one of a plurality of functions.

15. The computer readable medium of claim 14, wherein at least one of a plurality of functions includes at least one of arithmetic operators and logical operators.

16. The computer readable medium of claim 13, where instructions for causing one or more processors to segment further comprises:

instructions for causing one or more processors to map values produced by at least one of a plurality of expressions to at least one of a plurality of segmentation code values.

17. The computer readable medium of claim 16, wherein instructions for causing one or more processors to map further comprises:

instructions for causing one or more processors to assign numeric values to particular ones of a plurality of segmentation code values.

18. The computer readable medium of claim 16, wherein instructions for causing one or more processors to map further comprises:

instructions for causing one or more processors to assign enumerative values to particular ones of the plurality of segmentation code values.

19. The computer readable medium of claim 16, wherein instructions for causing one or more processors to map further comprises:

instructions for causing one or more processors to map a range of expressions to at least one segmentation code value.

20. The computer readable medium of claim 12, the at least one attribute includes at least one of age and income.

21. An apparatus comprising:

means for receiving customer information in a first schema database;

means for receiving a definition of a meta model;

means for receiving a selection of at least one of a table, a column and a function defining a dynamic expression;

means for associating the dynamic expression with a first segmentation code value;

means for segmenting the customer information into at least one of a plurality of groups based upon the meta model and the dynamic expression; and

means for executing at least one profile formed from the at least one group and the dynamic expression by successively evaluating the dynamic expression, thereby enabling dynamic assignment of customers to groups for organizing the customer information into a second schema database.