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Data Spiders: Leveraging Transactional Data with Genetic Algorithms

Data Spiders: Leveraging Transactional Data with Genetic Algorithms

Leveraging transactional data with genetic algorithms

White paper

In a typical data warehouse, the transaction data table is by far the largest and most under-utilized source of predictive information. This is due largely to the fact that the useful predictive patterns are embedded across a variable number of rows associated with each customer or account, while most analytic models and techniques require variables that represent information in a single row.