Howard Botts

Title: Howard Botts and Neighborhood-Specific Real Estate Valuation Models.

Introduction

Howard Botts is an inventor associated with Santa Monica, California, and CoreLogic Solutions, LLC. His patent work addresses the use of data and machine learning to organize real estate properties into neighborhoods and estimate their values.

Latest Patents

Botts is named on 1 patent: “Computer Processes for Clustering Properties into Neighborhoods and Generating Neighborhood-Specific Models.” The invention describes a computer system that groups similar properties into contiguous neighborhoods using property-level data. One example of a similarity measure is how often properties are identified as comparable in appraisal reports. A model generator then applies machine learning to identify relationships between property attributes and values in each neighborhood, producing models tailored to those areas.

Career Highlights

The available information connects Botts with CoreLogic Solutions, LLC, a company working in real estate data and analytics. His patent reflects an approach to property valuation that accounts for differences among neighborhoods rather than relying on a single model for all properties.

Collaborations

Wei Geng and Bin He are identified as Botts’s coworkers. The provided information does not specify their roles in the patent or whether they collaborated on the invention.

Conclusion

Howard Botts’s patent describes a data-driven method for grouping comparable properties and generating neighborhood-specific valuation models, linking his inventive work to real estate analytics at CoreLogic Solutions, LLC.