IEEE

A Study to Increase the Performance of FP-Growth Method Using Dimension Tree Technique on Huge Volumes of Data

Abstract: The dominant ARM algorithms viz. Apriori and FP-growth, needs huge resources when the input data is huge. First algorithm is efficient, but it generates intermediate conditional FP trees.

Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Seeking Alpha

Cigna targets at least $30.25 EPS for 2026 following FTC settlement and strategic PBM transformation

Dennison guided for "full year 2026 consolidated adjusted revenues of approximately $280 billion" and "full year 2026 consolidated adjusted income from operations of at least $30.25 per share." For ...
IEEE

Unveiling Purchase Patterns: A Comparative Analysis of Apriori, FP-Growth, and Eclat Algorithms in Market Basket Analysis

Abstract: Market Basket Analysis (MBA) is a pivotal data mining technique aimed to discover the invaluable insights into consumer behavior through the exploration of transactional data in the retail ...