⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

January 1, 2019Computers, materials & continua/Computers, materials & continua (Print)Open Access

DPIF: A Framework for Distinguishing Unintentional Quality Problems From Potential Shilling Attacks

Mohan Li Yanbin Sun Shen Su Zhihong Tian Yuhang Wang Xianzhi Wang

View Full Paper

Ask AI

Bookmark

Share

Abstract

Maliciously manufactured user profiles are often generated in batch for shilling attacks. These profiles may bring in a lot of quality problems but not worthy to be repaired. Since repairing data always be expensive, we need ... | Find, read and cite all the research you need on Tech Science Press

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Li et al. (2019) studied this question.

synapsesocial.com/papers/6a727cbd1556b380a2275b2c https://doi.org/10.32604/cmc.2019.05379

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1Lightweight AI-Powered Intrusion Detection via Edge ComputingComputers, materials & continua/Computers, materials & continua (Print) · Thu,
2Variational Graph Autoencoder–Based Timing-Driven Initialization PlacementComputers, materials & continua/Computers, materials & continua (Print) · Thu,
3A Lightweight Dual-Branch Hybrid CNN for Real-Time Hardness Recognition Using Low-Cost Tactile SensorsComputers, materials & continua/Computers, materials & continua (Print) · Thu,
4Conformal Prediction for Reliable Hyperparameter Selection in Sparse FIR Filter DesignComputers, materials & continua/Computers, materials & continua (Print) · Thu,
5A Hybrid CNN–BiLSTM Framework for Speech Emotion Recognition with TimeGAN-Augmented Data and Contrastive LearningComputers, materials & continua/Computers, materials & continua (Print) · Thu,

More from Computers, materials & continua/Computers, materials & continua (Print)

Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain OptimizationThu,
DGMSE: A Real-Time Dynamic Object Removal Framework Based on Detection-Guided Markov State EstimationThu,
Cryptocurrency Market Trends: A Machine Learning-Driven Time Series Forecasting with Twitter Sentiment IntegrationThu,
An Intelligent Algorithm for Dynamic Scheduling of Parallel Machines Considering Multi-Task Collaboration in Order ProcessingThu,
Optimizing Forecast Accuracy in Photovoltaic System with Hybrid Artificial Intelligence ModelThu,