Patent · US Active

Method and system for automated detection, classification and prediction of multi-scale, multidimensional trends

US11461795B2 · kind B2 · utility

1Cited by

2References

6Claims

0Family size

Assignee

FLYTXT B.V. · NL

Inventors

Noopur Jain · Bahraich, IN
Santanu Chaudhury · Delhi, IN
Jobin Wilson · Thrippunithura, IN
Prateek Kapadia · Mumbai, IN

Key dates

Filing date	Sep 20, 2018
Grant date	Oct 4, 2022
Priority date	—
Expiry date	May 9, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06N7/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method and system for detection, classification and prediction of user behavior trends using correspondence analysis is disclosed. The methods and systems reduce the n-dimensional feature space to a lower dimensional space for easy processing, improved quality of emerging clusters and superior prediction accuracies. Further, the method applies the correspondence analysis so that each user is assigned with a new coordinate in the lower dimension, which maintains a similarity, difference and the relationship between the variables. Once the correspondence analysis is completed, clustering or grouping of the coordinates based on the similar trends of the users is performed. Further, unlabeled cluster members are assigned class membership proportional to the labeled samples in the cluster. Finally, the method predicts the future actions of the users based on the past trends that are observed from the labeled clusters.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.