Data mining in insurance claims (DMICS) two-way mining for extreme values.
Sofia AftabWaseem AbbasMuhammad Musa BilalTauqir HussainMuhammad ShoaibSyed Hamza MehmoodPublished in: ICDIM (2013)
Keyphrases
- data mining
- extreme values
- knowledge discovery
- data mining techniques
- data mining algorithms
- data mining methods
- data mining applications
- association rule mining
- pattern mining
- text mining
- web mining
- data mining tasks
- association rules
- association mining
- hidden knowledge
- target variable
- sequence mining
- mining algorithm
- data mining technology
- pattern discovery
- data summarization
- health insurance
- fraud detection
- data mining tools
- data mining models
- data analysis
- sequential pattern mining
- rule mining
- data mining process
- mining association rules
- knowledge discovery process
- previously unknown
- discovery process
- data mining and knowledge discovery
- privacy preservation
- rough sets
- temporal data mining
- decision making
- data warehouse
- transaction databases
- areas of data mining
- discovering knowledge
- association patterns
- data mining and machine learning
- application of data mining
- outlier detection
- sequential patterns
- frequent itemset mining
- domain driven
- topic in data mining
- clickstream data
- interactive data mining
- real world
- researchers and practitioners interested
- itemset mining
- apriori algorithm
- data repositories
- interesting patterns
- risk management
- frequent patterns
- data structure