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Persistent link: https://www.econbiz.de/10001465432
Hoover and Perez (1999) advocate a constructive approach to data mining. The current paper identifies four pejorative senses of data mining and shows how Hoover and Perez's approach counters each. To assess the benefits of constructive data mining, the current paper applies a data-mining...
Persistent link: https://www.econbiz.de/10014154080
Hoover and Perez (1999) advocate a constructive approach to data mining. The current paper identifies four pejorative senses of data mining and shows how Hoover and Perez's approach counters each. To assess the benefits of constructive data mining, the current paper applies a data-mining...
Persistent link: https://www.econbiz.de/10014141839
Persistent link: https://www.econbiz.de/10009269052
Persistent link: https://www.econbiz.de/10003857858
This paper assesses the empirical merits of PcGets and Autometrics -- two recent algorithms for computer-automated model selection -- using them to improve upon Kamin and Ericsson's (1993) model of Argentine broad money demand. The selected model is an economically sensible and statistically...
Persistent link: https://www.econbiz.de/10012720206
Hoover and Perez (1999) advocate a constructive approach to data mining. The current paper identifies four pejorative senses of data mining and shows how Hoover and Perez?s approach counters each. To assess the benefits of constructive data mining, the current paper applies a data-mining...
Persistent link: https://www.econbiz.de/10005405456