Orlando, FL, United States of America

Anjali Dange


Average Co-Inventor Count = 5.8

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2013-2019

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2 patents (USPTO):Explore Patents

Title: Anjali Dange: Innovator in Data Mining and Clustering Technologies

Introduction

Anjali Dange is a prominent inventor based in Orlando, FL (US). She has made significant contributions to the fields of data mining and clustering technologies. With a total of 2 patents, her work focuses on enhancing the effectiveness of advertising and improving data analysis methods.

Latest Patents

Anjali's latest patents include innovative methods for measuring advertising effectiveness and clustering observations in datasets. The first patent, titled "Data mining to determine online user responses to broadcast messages," describes a method and apparatus for monitoring social networks and online forums to assess the impact of advertisements. This involves filtering traffic to identify responses and determining demographic information related to those responses. The second patent, "System and method for hybrid hierarchical segmentation," outlines a computer-implemented method for clustering observations based on selected variables. This method utilizes a hierarchical clustering algorithm to derive meaningful clusters from a dataset.

Career Highlights

Anjali Dange is currently employed at Disney Enterprises, Inc., where she applies her expertise in data mining and clustering technologies. Her innovative approaches have contributed to the company's efforts in understanding user engagement and optimizing advertising strategies.

Collaborations

Anjali has collaborated with notable coworkers, including Cameron Davies and Xia Ying, who share her passion for innovation and technology.

Conclusion

Anjali Dange's contributions to data mining and clustering technologies highlight her role as a leading inventor in her field. Her patents reflect her commitment to advancing advertising effectiveness and data analysis methods.

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