Abstract: Association rule mining techniques have significant drawbacks in the current data mining technology. This study addresses the issue that the Apriori algorithm's mining efficiency is low when ...

Forbes contributors publish independent expert analyses and insights. I write about fitness, health and wearable tech Algorithms have taken on an almost mythical significance in the modern world. They ...

In four new studies, researchers found complicated results from experiments on Facebook’s and Instagram’s algorithms, suggesting there was no silver bullet to fixing the platforms. By Mike Isaac and ...

Given the inconsistency between the information value and the weight value in the weighted information value model, a weight model based on the Apriori algorithm is established in this paper to ...

Maximum frequent pattern generation from a large database of transactions and items for association rule mining is an important research topic in data mining. Association rule mining aims to discover ...

Abstract: The traditional Apriori algorithm has the problem of low efficiency. It repeatedly scans the transaction database, generates candidate item sets, and mines massive redundant and worthless ...

Purpose: The aim of this study was to identify the combination of patients with dementia and their caregivers' characteristics associated with long-term care (LTC) services usage. Patients and methods ...

Web based expert system will help to analyze the shopping trends of your company’s customers. Identifying these trends can make it easier to understand which items your customers purchase at the same ...