The Evolution of KDD: towards Domain-Driven Data Mining

@article{Cao2007TheEO,
  title={The Evolution of KDD: towards Domain-Driven Data Mining},
  author={Longbing Cao and Chengqi Zhang},
  journal={Int. J. Pattern Recognit. Artif. Intell.},
  year={2007},
  volume={21},
  pages={677-692}
}
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is to let data tell a story disclosing hidden information, in which domain intelligence may not be necessary in targeting the demonstration of an algorithm. Often knowledge discovered is not generally interesting to business needs. Comparably, real-world applications rely on knowledge for taking effective actions. In retrospect of the evolution of KDD, this paper briefly introduces domain-driven… 

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