# US 2013/0159370 A1 · Pattern recognition of a distribution function > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2013/0159370 A1 - Document ID: US20130159370A1 - Status: Published application - Kind: A1 - Application number: 13/327,801 - Filed: 2011-12-16 - Published: 2013-06-20 - Earliest claimed: 2011-12-16 - Assignees: Sap SE - Inventors: Sylvia Scheu; Matthias Buehl; Boris Oliver Kneisel - Web page: https://patentgrep.com/patent/US20130159370A1 ## CPC - G06Q 10/04: Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) - G06F 18/21342: {using statistical independence, i.e. minimising mutual information or maximising non-gaussianity} - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## Abstract Various embodiments of systems and methods for pattern recognition of a distribution function are described herein. An influenced distribution function corresponding to an influenced attribute is compared with other distribution functions corresponding to other attributes. Based on the comparison, a correlation is determined between the influenced distribution function and an influencing distribution function from the other distribution functions. Based on the determination, a raw distribution function corresponding to an influenced attribute is extracted using the influenced distribution function and the influencing distribution function. The extracted raw distribution function and the influencing distribution function may be classified. ## Claims ### Claim 1 A computer implemented method for determining a raw distribution function corresponding to an influenced attribute of a plurality of attributes, the method comprising: comparing, by a processor of the computer, an influenced distribution function corresponding to the influenced attribute with other distribution functions, stored in a memory of the computer, corresponding to other attributes of the plurality of attributes; based on the comparison, determining, by the processor of the computer, a correlation between the influenced distribution function and an influencing distribution function from the other distribution functions, the influencing distribution function corresponding to an influencing attribute from the other attributes; and based on the determination, extracting, by the processor of the computer, the raw distribution function corresponding to the influenced attribute using the influenced distribution function and the influencing distribution function. ### Claim 2 (depends on 1) The computer implemented method according to claim 1, further comprising: determining, by the processor of the computer, the influenced distribution function based on distribution data, stored in a memory of the computer, corresponding to the influenced attribute. ### Claim 3 (depends on 2) The computer implemented method according to claim 2, wherein determining the influenced distribution function includes: analyzing, by the processor of the computer, the distribution data corresponding to the influenced attribute; based on the analysis, determining, by the processor of the computer, whether the distribution data corresponding to the influenced attribute is symmetric; and based on the determination, determining, by the processor of the computer, the influenced distribution function based on at least a portion of the distribution data. ### Claim 4 (depends on 1) The computer implemented method according to claim 1, wherein extracting the raw distribution function includes: subtracting, by the processor of the computer, the influencing distribution function from the influenced distribution function to obtain the raw distribution function corresponding to the influenced attribute. ### Claim 5 (depends on 1) The computer implemented according to claim 1, further comprising: receiving a distribution function corresponding to an external attribute; comparing, by the processor of the computer, the influenced distribution function with the received distribution function; based on the comparison, determining, by the processor of the computer, a correlation between the influenced distribution function and the received distribution function; and based on the determination, extracting, by the processor of the computer, the raw distribution function corresponding to the influenced attribute using the influenced distribution function and the received distribution function. ### Claim 6 (depends on 5) The computer implemented method according to claim 5, wherein extracting the distribution function includes: subtracting, by the processor of the computer, the received distribution function from the influenced distribution function to obtain the raw distribution function corresponding to the influenced attribute. ### Claim 7 (depends on 5) The computer implemented method according to claim 5, further comprising: classifying, by the processor of the computer, the raw distribution function related to the influenced attribute and the received distribution function. ### Claim 8 (depends on 5) The computer implemented method according to claim 5, wherein receiving the distribution function includes: based on the comparison, determining, by the processor of the computer, whether the raw distribution function corresponding to the influenced attribute is extracted; and based on the determination, receiving the distribution function corresponding to the external attribute. ### Claim 9 (depends on 1) The computer implemented method according to claim 1, further comprising: classifying, by the processor of the computer, the raw distribution function related to the influenced attribute and the influencing distribution function. ### Claim 10 (depends on 1) The computer implemented method according to claim 1, further comprising: determining, by the processor of the computer, whether the raw distribution function corresponding to the influenced attribute is extracted; based on the determination, subtracting, by the processor of the computer, distribution data corresponding to one of the other attributes from distribution data corresponding to the influenced attribute; and determining, by the processor of the computer, the raw distribution function corresponding to the influenced attribute based on result of the subtraction. ### Claim 11 An article of manufacture including a computer readable storage medium to tangibly store instructions, which when executed by a computer, cause the computer to: compare an influenced distribution function corresponding to an influenced attribute with other distribution functions corresponding to other attributes of a plurality of attributes; based on the comparison, determine a correlation between the influenced distribution function and an influencing distribution function from the other distribution functions, the influencing distribution function corresponding to an influencing attribute from the other attributes; and based on the determination, extract the raw distribution function corresponding to the influenced attribute using the influenced distribution function and the influencing distribution function. ### Claim 12 (depends on 11) The article of manufacture according to claim 11, further comprising instructions which when executed by the computer further causes the computer to: determine the influenced distribution function based on distribution data, stored in a memory of the computer, corresponding to the influenced attribute. ### Claim 13 (depends on 12) The article of manufacture according to claim 12, further comprising instructions which when executed by the computer further causes the computer to: analyze the distribution data corresponding to the influenced attribute; based on the analysis, determine if the distribution data corresponding to the influenced attribute is symmetric; and based on the determination, determine the influenced distribution function corresponding to the influenced attribute based on at least a portion of the distribution data. ### Claim 14 (depends on 11) The article of manufacture according to claim 11, further comprising instructions which when executed by the computer further causes the computer to: subtract the influencing distribution function from the influenced distribution function to obtain the raw distribution function corresponding to the influenced attribute. ### Claim 15 (depends on 11) The article of manufacture according to claim 11, further comprising instructions which when executed by the computer further causes the computer to: receive a distribution function corresponding to an external attribute; compare the influenced distribution function with the received distribution function; based on the comparison, determine a correlation between the influenced distribution function and the received distribution function; and based on the determination, extract the raw distribution function related to the influenced attribute using the influenced distribution function and the received distribution function. ### Claim 16 (depends on 15) The article of manufacture according to claim 15, further comprising instructions which when executed by the computer further causes the computer to: subtract the distribution function from the influenced distribution function to obtain the raw distribution function corresponding to the influenced attribute. ### Claim 17 A computer system for determining a raw distribution function corresponding to an influenced attribute of a plurality of attributes, the computer system comprising: a memory to store a program code; and a processor communicatively coupled to the memory, the processor configured to execute the program code to: compare an influenced distribution function corresponding to the influenced attribute with other distribution functions corresponding to other attributes of the plurality of attributes; based on the comparison, determine a correlation between the influenced distribution function and an influencing distribution function from the other distribution functions, the influencing distribution function corresponding to an influencing attribute from the other attributes; and based on the determination, extract the raw distribution function corresponding to the influenced attribute using the influenced distribution function and the influencing distribution function. ### Claim 18 (depends on 17) The system of claim 17, wherein the processor further executes the program code to: determine the influenced distribution function based on distribution data, stored in a memory of the computer, corresponding to the influenced attribute. ### Claim 19 (depends on 18) The system of claim 18, wherein the processor further executes the program code to: analyze the distribution data corresponding to the influenced attribute; based on the analysis, determine if the distribution data corresponding to the influenced attribute is symmetric; and based on the determination, determine the influenced distribution function corresponding to the influenced attribute based on at least a portion of the distribution data. ### Claim 20 (depends on 17) The system of claim 17, wherein the processor further executes the program code to: subtract the influencing distribution function from the influenced distribution function to obtain the raw distribution function corresponding to the influenced attribute.