US 2019/0171833 A1 · PROTECTION OF DATA PRIVACY FOR COGNITIVE DEMAND FORECASTING

Abstract

Machine logic (for example, software) for protecting sensitive and confidential user data and sending the protected user data to an authorized third party for predictive analytics purposes. The machine logic rules perform linear transformation operations on the sensitive and confidential user data in order to obscure the underlying data before it is sent to an authorized third party for performing predictive analysis of the underlying data. After performing predictive analysis on the obscured data by the authorized third party, the owner of the sensitive and confidential data takes a consequential action (that is, the owner of the data makes a business-related decision) based on the prediction.

Claims20

Dependent claims

A method comprising:

receiving a first time-series data set, with the first time-series data set including:
(i) a plurality of time-series values, and (ii) a relative order of the first plurality of time-series values;
performing a linear transformation on the first time-series data set to obtain a first transformed time series data set, with the linear transformation being a set of mathematical operation(s) that:
(i) change each value of the first plurality of time-series values respectively corresponding transformed values, and (ii) maintains, in the transformed values, proportions that exist among and between the values of the first plurality of time-series values;
sending, over a communication network and to a remote computer device, the transformed time-series data set for analysis;
and
receiving, over the communication network and from the remote computer device, analysis results.

4 more elements

A method comprising:

receiving a first time-series data set, with the first time-series data set including:
(i) a plurality of time-series values, and (ii) a relative order of the first plurality of time-series values;
receiving a second time-series data set, with the second time-series data set including:
(i) a plurality of time-series values, and (ii) a relative order of the second plurality of time-series values;
combining by a mathematical operation respectively corresponding pairs of time-series values from the first and second time-series data sets to obtain a combined time-series data set;
sending, over a communication network and to a remote computer device, the combined time-series data set for analysis;
and
receiving, over the communication network and from the remote computer device, analysis results.

5 more elements

A method comprising:

receiving a first time-series data set, with the first time-series data set including:
(i) a plurality of time-series values, and (ii) a relative order of the first plurality of time-series values;
receiving a second time-series data set, with the second time-series data set including:
(i) a plurality of time-series values, and (ii) a relative order of the second plurality of time-series values;
performing a first linear transformation on the first time-series data set to obtain a first transformed time series data set, with the linear transformation being a set of mathematical operation(s) that:
(i) change each value of the first plurality of time-series values respectively corresponding transformed values, and (ii) maintains, in the transformed values, proportions that exist among and between the values of the first plurality of time-series values;
performing a second linear transformation on the first time-series data set to obtain a second transformed time series data set, with the linear transformation being a set of mathematical operation(s) that:
(i) change each value of the first plurality of time-series values respectively corresponding transformed values, and (ii) maintains, in the transformed values, proportions that exist among and between the values of the first plurality of time-series values;
combining by a mathematical operation respectively corresponding pairs of time-series values from the first transformed and second transformed time-series data sets to obtain a combined time-series data set;
sending, over a communication network and to a remote computer device, the combined time-series data set for analysis;
and
receiving, over the communication network and from the remote computer device, analysis results.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application

15/831,418Filed 5 Dec 2017

Published

6 Jun 2019

Term ends

Not estimatedThe source records don’t support an estimate.

Classification8 codes

G06F 21/6218
Protecting access to data via a platform, e.g. using keys or access control rules: to a system of files or objects, e.g. local or distributed file…
G06F 21/6254
Protecting personal data, e.g. for financial or medical purposes: by anonymising data, e.g. decorrelating personal data from the owner's…
H04L 9/0618
The encryption apparatus using shift registers or memories for block-wise or stream coding, e.g. DES systems or RC4; Hash functions;…
H04L 63/0428
For providing a confidential data exchange among entities communicating through data packet networks: wherein the data content is protected, e.g.…

Protection of data privacy for cognitive demand forecasting

Life of this patent

Protection of data privacy for cognitive demand forecasting

Life of this patent

Abstract

Claims20