Stacked Generalization Architecture for Predicting Publisher Behaviour from Highly Imbalanced User-Click Data Set for Click Fraud Detection.
Deepti SisodiaDilip Singh SisodiaPublished in: New Gener. Comput. (2023)
Keyphrases
- fraud detection
- user clicks
- highly imbalanced
- cost sensitive
- data sets
- web search
- class distribution
- user behavior
- search engine
- outlier detection
- search result
- multi class
- intrusion detection
- social network analysis
- user feedback
- data mining techniques
- click models
- user activity
- data mining
- click behavior
- cost sensitive learning
- relevance judgments
- information extraction
- active learning
- training set
- class imbalance
- database
- web search engines
- search tasks
- online advertising
- imbalanced data
- sponsored search
- online auctions
- databases
- supervised learning