Results 121 to 130 of about 3,630,262 (289)
The data preprocessing step is an important step in web usage mining because of the nature of log data, which are heterogeneous, unstructured, and noisy.
Mohammed Ali Mohammed +2 more
doaj +1 more source
AR: An Artificial Intelligence‐Driven Fluorescent Reporter System for Gene Editing Evaluation
The AR platform integrates an enhanced dual‐fluorescence reporter with the EasyReporter AI pipeline for efficient gene‐editing evaluation. It enables automated, high‐throughput quantification and intelligent interpretation across diverse gene‐editing systems and cellular contexts. The gene‐editing elements were created with BioGDP.com.
Mingming Xue +17 more
wiley +1 more source
Abstract Medical education must balance foundational science with clinical relevance. Increasing emphasis on standardized assessments has led to prioritization of “high‐yield” conditions—those most likely to be assessed. Subsequently, educators and students often prioritize these conditions.
Kathryn Veazey, Oheneba Boadum
wiley +1 more source
A Framework for Personal Web Usage Mining
In this paper, we propose to mine Web usage data on client side, or personal Web usage mining, as a complement to the server side Web usage mining. By mining client side Web usage data, more complete knowledge about Web usage can be obtained. A framework
Yongjian Fu, Ming-yi Shih
core
ChatGPT for complex text evaluation tasks
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Abstract User engagement (UE) has long been proposed as a holistic framework for understanding user‐technology interactions and a mediator for outcomes of digital technology use, such as learning, health behavior change, information acquisition, and social connectivity.
Heather L. O'Brien
wiley +1 more source
Efficient Web Usage Mining Process for Sequential Patterns [PDF]
The tremendous growth in volume of web usage data results in the boost of web mining research with focus on discovering potentially useful knowledge from web usage data. This paper presents a new web usage mining process for finding sequential patterns
Nguyen, TTS
core
PATTERN DISCOVERY TECHNIQUES IN WEB USAGE MINING
WWW is a very popular and interactive medium for broadcasting information today. Due to the vast, diverse and lively nature of web it advancesthe scalability, multimedia data and temporal issues respectively.
Dr. S. Manikandan, J. Umarani
core +1 more source
Web Usage Mining: A Fact Finding Approach in Web Mining [PDF]
-Web usage mining is a main research area in Web mining focused on learning about Web users and their interactions with Web sites. The motive of mining is to find users' access models automatically and quickly from the vast Web log data, such as ...
Shraddha Tripathi +3 more
core

