Blockchain Meets Machine Learning to Catch Money Launderers With 96% Accuracy
Researchers have combined blockchain-based customer authentication with an ensemble of three machine learning classifiers to detect money laundering with 96.68 ...
Tag: data mining
New Graph-Based Algorithm Tames Streaming Features in High-Dimensional Data
A new three-stage algorithm called FS-GSR combines graph-based scoring with sparse reconstruction to select compact, high-performing feature subsets from high-dimensional ...
New Boosting Method Learns Oblique Rules for Simpler, More Interpretable Models
Researchers have developed a gradient boosting method that learns sparse oblique rules, producing simpler and more interpretable prediction models with ...
From Smart Fabrics to FDA’s TEMPO Pilot: Four Frontiers Reshaping Digital Health
JMIR Publications' latest News and Perspectives features examine digital tools for PMOS care in India, the rise of smart textiles, ...
New Algorithm Brings Probabilistic Rigor to Periodic Pattern Mining in Uncertain Data
Researchers have introduced PPFP-Growth, a pattern-growth algorithm that, for the first time, quantifies the probability that a pattern is truly ...
New Study Reveals the Best Way to Spot Outliers in Categorical Data
A large-scale study from the University of São Paulo tested three strategies for detecting outliers in categorical and mixed data ...
New Mathematical Bridge Turns Incomplete Data into Reliable Concepts
A new Applied Intelligence study reveals how four types of mathematical concepts in incomplete data tables are structurally connected, enabling ...
Global Freelance Skill Network Fractures as Generative AI Reshapes Digital Work
A network analysis of Upwork job postings shows the number of skills demanded across continents fell from 328 in 2022 ...
Seventeen Years of Classifier Chains: Landmark Review Maps the Hidden Backbone of Multi-Label AI
The first PRISMA-compliant systematic review of classifier chains maps seventeen years of multi-label learning research, comparing 18 variants, formalizing error ...
Shapelets Meet Soft Contrastive Learning to Crack Time Series Clustering
A new shapelet-based soft contrastive learning framework called SCLS improves multivariate time series clustering by avoiding noisy data augmentation and ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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