Discovering COVID-19 Induced Shifts in Refined Petroleum Products Demand: A Sequence-based Time Series Mining Approach.
Syed Arshad RazaAtiq Waliullah SiddiquiPublished in: SmartWorld/SCALCOM/UIC/ATC/IOP/SCI (2021)
Keyphrases
- sequential data
- temporal sequences
- automatically extracting
- sequential patterns
- production cost
- data mining tasks
- market share
- data mining
- periodic patterns
- web mining
- multi relational
- spatial co location patterns
- pattern mining
- quasi periodic
- data mining techniques
- sequence matching
- customer demand
- website
- expected profit
- discovering interesting
- discovering frequent
- budget constraints
- knowledge discovery
- subsequence matching
- frequent sequences
- frequent itemsets
- event sequences
- mining algorithm
- event types
- inventory control
- itemsets
- sequence databases
- discover hidden