System, method, and recording medium for data mining between private and public domains

Patent metadata

Field	Value
Publication number	US-2017364595-A1
Application number	US-201615187191-A
Country	US
Kind code	A1
Filing date	Jun 20, 2016
Priority date	Jun 20, 2016
Publication date	Dec 21, 2017
Grant date	—

Abstract

A data mining method, system, and non-transitory computer readable medium, include defining a set of filter constraints as a filter function for clustering users' private records of data of a private domain, obtaining a set of data from a public domain by applying the filter function to users' public records of data of the public domain, selecting a subset of the users' public records of data that is common with the users' private records of data, and performing data mining on the selected subset of the users' public records of data in combination with the users' private records of data to match a user of the private domain to public records of the user of the private domain.

First claim

What is claimed is:

1 . A data mining method, comprising:
defining a set of filter constraints as a filter function for clustering users' private records of data of a private domain; obtaining a set of data from a public domain by applying the filter function to users' public records of data of the public domain; selecting a subset of the users' public records of data that is common with the users' private records of data; and performing data mining on the selected subset of the users' public records of data in combination with the users' private records of data to match a user of the private domain to public records of the user of the private domain.

2 . The method of claim 1 , wherein the defining defines the filter function such that a ratio of the obtained users' public records of data to the users' private records of data is less than 1.05.

3 . The method of claim 1 , wherein the defining defines the filter function such that a ratio of the obtained users' public records of data to the users' private records of data is based on a network limitation between the private domain and the public domain.

4 . The method of claim 1 , wherein the defining defines the filter function such that the obtaining obtains a number of the users' public records less a predetermined threshold size of obtained data divided by a data size of each of the users' public records.

5 . The method of claim 1 , wherein the defining further negotiates the filter function with the public domain such that a size of the users' public records obtained by the obtaining is less than a threshold value.

6 . The method of claim 1 , wherein the obtained set of data from the public domain includes a greater number of users' records than a number of users' private records of data clustered in the private domain.

7 . The method of claim 1 , wherein an identity of the users corresponding to the users' private records of data of the private domain is unobtainable by the public domain.

8 . The method of claim 1 , wherein the defining further negotiates the filter function using an obfuscation function such that the set of filter constraints is greater than a first set of filter constraints that overlaps with all of users' private records of data.

9 . A data mining system, comprising:
a processor; and a memory, the memory storing instructions to cause the processor to: define a set of filter constraints as a filter function for clustering users' private records of data of a private domain; obtain a set of data from a public domain by applying the filter function to users' public records of data of the public domain; select a subset of the users public records of data that is common with the users' private records of data; and perform data mining on the selected subset of the users' public records of data in combination with the users' private records of data to match a user of the private domain to public records of the user of the private domain.

10 . The system of claim 9 , wherein the defining defines the filter function such that a ratio of the obtained users' public records of data to the users' private records of data is less than 1.05.

11 . The system of claim 9 , wherein the defining defines the filter function such that a ratio of the obtained users' public records of data to the users' private records of data is based on a network limitation between the private domain and the public domain.

12 . The system of claim 9 , wherein the defining defines the filter function such that the obtaining obtains a number of the users' public records less a predetermined threshold size of obtained data divided by a data size of each of the users' public records.

13 . The system of claim 9 , wherein the defining further negotiates the filter function with the public domain such that a size of the users' public records obtained by the obtaining is less than a threshold value.

14 . The system of claim 9 , wherein the obtained set of data from the public domain includes a greater number of users' records than a number of users' private records of data clustered in the private domain.

15 . The system of claim 9 , wherein an identity of the users corresponding to the users' private records of data of the private domain is unobtainable by the public domain.

16 . The system of claim 9 , wherein the defining further negotiates the filter function using an obfuscation function such that the set of filter constraints is greater than a first set of filter constraints that overlaps with all of users' private records of data.

17 . A non-transitory computer-readable recording medium recording a data mining program, the program causing a computer to perform:
defining a set of filter constraints as a filter function for clustering users' private records of data of a private domain; obtaining a set of data from a public domain by applying the filter function to users' public records of data of the public domain; selecting a subset of the users public records of data that is common with the users' private records of data; and performing data mining on the selected subset of the users public records of data in combination with the users private records of data to match a user of the private domain to public records of the user of the private domain.

18 . The non-transitory computer-readable recording medium of claim 17 , wherein the defining defines the filter function such that a ratio of the obtained users' public records of data to the users' private records of data is less than 1.05.

19 . The non-transitory computer-readable recording medium of claim 17 , wherein the defining defines the filter function such that a ratio of the obtained users' public records of data to the users' private records of data is based on a network limitation between the private domain and the public domain.

20 . The non-transitory computer-readable recording medium of claim 17 , wherein the defining defines the filter function such that the obtaining obtains a number of the users' public records less a predetermined threshold size of obtained data divided by a data size of each of the users' public records.

Assignees

• IBM

Inventors

• Desai Nirmit V
• Ko Bong Jun
• Ortiz Jorge J
• Rallapalli Swati
• Salonidis Theodoros
• Urgaonkar Rahul
• Verma Dinesh C

Classifications

• G06F16/25

  Integrating or interfacing systems involving database management systems · CPC title

• G06F16/2465 Primary

  Query processing support for facilitating data mining operations in structured databases · CPC title

• G06F16/9535

  Search customisation based on user profiles and personalisation · CPC title

• G06F16/906 Primary

  Clustering; Classification · CPC title

• G06F17/30867 Primary

  Physics · mapped topic