Results 161 to 170 of about 4,847 (258)

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos   +1 more
wiley   +1 more source

A Systematic Review of Data Science in Early Voice‐Based Detection of Parkinson's and Amyotrophic Lateral Sclerosis Neurodegenerative Diseases

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Seven‐stage AI‐powered voice biomarker pipeline for neurodegenerative disease diagnosis and clinical decision support. ABSTRACT Recent studies have shown that voice analysis provides a feasible, non‐invasive diagnostic alternative for the early detection of neurodegenerative diseases (NDs), such as Parkinson's disease (PD) and Amyotrophic Lateral ...
Abdulazeez Mousa   +3 more
wiley   +1 more source

Automated Alignment of Math Items to Content Standards in Large‐Scale Assessments Using Language Models

open access: yesEducational Measurement: Issues and Practice, Volume 45, Issue 3, Fall 2026.
Abstract Accurate alignment of items to content standards is critical for valid score interpretation in large‐scale assessments. This study evaluates three automated paradigms for aligning Math items with four domain labels and nineteen skill labels.
Qingshu Xu   +6 more
wiley   +1 more source

MSPCIFormer: A Multi‐Scale Patching Channel‐Independent Transformer for Cryptocurrency Price Forecasting

open access: yesExpert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT Forecasting cryptocurrency prices remains challenging due to extreme volatility, regime‐dependent dynamics, and unstable cross‐asset correlations. Statistical methods such as ARIMA and GARCH assume stationarity and linear dependence structures, making them inadequate for capturing non‐linear temporal patterns in high volatile cryptocurrency ...
Huali Zhao   +2 more
wiley   +1 more source

Teaching Data Science to Diverse Learners: A Hybrid and Interdisciplinary Approach

open access: yesTeaching Statistics, Volume 48, Issue S1, Page S67-S76, Summer 2026.
Abstract This paper describes the development and delivery of an introductory data science course designed for interdisciplinary master's students studying in a hybrid format, without advanced mathematics prerequisites. The course addresses the increasing need for data science skills among non‐specialists, preparing them to tackle real‐world challenges.
Stuart King, Serveh Sharifi Far
wiley   +1 more source

A systematic review of machine learning on clinical MALDI-TOF MS. [PDF]

open access: yesBrief Bioinform
Schmidt-Santiago L   +5 more
europepmc   +1 more source

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