7 ways to be a data superstar in the AI era - and stay ahead of agents

While the market pressure is on, and companies are forging ahead with plans for AI and AI agents, the data for these projects may not be ready.
IEEE

Customer Segmentation using Clustering Techniques: Data-Driven Approach to Enhance Marketing Strategy

Abstract: Customer segmentation is a vital strategy for businesses seeking to enhance their marketing efforts and optimize resource allocation. This research focuses on segmenting customers using the ...
IEEE

Enhancing Customer Segmentation: A Novel Approach using Machine Learning Algorithms

Abstract: Customer segmentation is needed for every business to survive in the field. Grouping up of customers can be done by finding a similar pattern among customers by analyzing the sales dataset.
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
IEEE

TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation

Abstract: Concept drift arises from the uncertainty of data distribution over time and is common in data stream. While numerous methods have been developed to assist machine learning models in ...