ASSIGNING A DOCUMENT TO PARTIAL MEMBERSHIP IN COMMUNITIES

• US 20170195304A1
• Filed: 09/24/2014
• Published: 07/06/2017
• Est. Priority Date: 09/24/2014
• Status: Active Grant

• Current Assignee: Ent Services Development Corporation LP (DXC Technology Company)
• Original Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Inventors: COOPER, James C., KASRAVI, Kas, HOLMES, Michelle, BALINSKY, Helen
• Granted Patent: US 10,764,265 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 63/102 Entity profiles

Abstract

Example implementations relate to assigning a document to partial membership in communities. In example implementations, a detected feature of a document may be compared with a training pattern. Based on the comparison, the document may be assigned partial membership in a first community and partial membership in a second community.

Claims

1. A system comprising:

a data manger module to store a plurality of training patterns and preferred storage container data;

an analysis module to assign, based on one of the plurality of training patterns, a document to partial membership in a first community and partial membership in a second community; and

a container module communicatively coupled to a plurality of storage containers, wherein the container module is to transmit the document to one of the plurality of storage containers.

2. The system of claim 1, further comprising an authorization module to generate authorization data based on preferred storage container data, wherein the container module is further to determine, based on the authorization data, whether a user is authorized to access one of the plurality of storage containers.

3. The system of claim 1, wherein the analysis module is further to determine, based on preferred storage container data, whether a selected one of the plurality of storage containers is suitable for storing the document, the system further comprising a notification module to generate a notification in response to a determination that the selected one of the plurality of storage containers is not suitable for storing the document.

4. The system of claim 1, further comprising an explanation module to provide an explanation of the assignment of partial memberships to the first and second communities.

5. The system of claim 1, wherein the analysis module is further to:

detect features of the document;

compare detected features with the one of the plurality of training patterns; and

use fuzzy logic to compute percentages of membership in the first community and in the second community.

6. The system of claim 1, wherein the analysis module is further to identify a cluster of documents as a new community.

7. The system of claim 1, wherein the analysis module is further to select between partial membership of the document in the second community and partial membership of the document in a third community.

8. A machine-readable storage medium encoded with instructions executable by a processor, the machine-readable storage medium comprising:

instructions to detect features of a document;

instructions to compare a detected feature with a training pattern;

instructions to identify, based on the comparison of the detected feature with the training pattern, a first community and a second community to which the document is to be assigned partial membership; and

instructions to use fuzzy logic to compute percentages of membership in the first community and in the second community.

9. The machine-readable storage medium of claim 8, further comprising instructions to identify a cluster of documents as a new community.

10. The machine-readable storage medium of claim 8, further comprising:

instructions to select between the second community and a third community when identifying communities to which the document is to be assigned partial membership; and

instructions to provide an explanation of the selection of the second or third community.

11. The machine-readable storage medium of claim 8, further comprising instructions to identify, based on authentication credentials, one of the first community and the second community.

12. A method comprising:

detecting, using a processor, features of a document;

comparing, using the processor, a detected feature to a training pattern; and

assigning, using the processor, and based on the comparison of the detected feature to the training pattern, the document to partial membership in a first community and partial membership in a second community.

13. The method of claim 12, further comprising:

selecting between partial membership of the document in the second community and partial membership of the document in a third community; and

using fuzzy logic to compute percentages of membership in the first community and in the second community.

14. The method of claim 12, further comprising identifying a cluster of documents as a new community.

15. The method of claim 12, further comprising:

determining, based on preferred storage container data, whether a selected storage container is suitable for storing the document;

generating a first notification in response to a determination that the selected storage container is not suitable for storing the document; and

generating a second notification in response to the document being stored in the selected storage container.