Estrazione dei dati con la rete neurale
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Estrazione dei dati con la rete neurale

Estrazione dei dati con la rete neurale


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International Edition


About the Book

Attualmente, la quantità di dati memorizzati nei database didattici sta aumentando rapidamente. Questi database contengono informazioni nascoste per migliorare le prestazioni degli studenti. L'albero decisionale è l'algoritmo di classificazione più utile nel data mining educativo per la sua facilità di esecuzione e di comprensione rispetto ad altri algoritmi. Con l'aiuto dell'algoritmo dell'albero decisionale possiamo ottenere risultati più accurati e validi che possono essere utili agli istruttori per migliorare i risultati di apprendimento degli studenti. Gli algoritmi ad albero decisionale ID3, C4.5 e CART sono stati applicati ai dati degli studenti per prevedere le loro prestazioni. Ma tutti e tre questi algoritmi sono utilizzati solo per piccoli database. Per i database di grandi dimensioni, stiamo utilizzando un nuovo algoritmo, SPRINT, che elimina tutte le limitazioni di memoria e i problemi di accuratezza degli altri algoritmi. È più veloce e scalabile degli altri perché può essere implementato sia in modo seriale che parallelo per un buon posizionamento dei dati e per il bilanciamento del carico. In questo lavoro, l'algoritmo ad albero decisionale SPRINT viene utilizzato per risolvere il problema della classificazione nel sistema educativo.


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Product Details
  • ISBN-13: 9786207435173
  • Publisher: KS Omniscriptum Publishing
  • Binding: Paperback
  • Language: Italian
  • Returnable: N
  • Weight: 141 gr
  • ISBN-10: 6207435176
  • Publisher Date: 26 Apr 2024
  • Height: 229 mm
  • No of Pages: 52
  • Spine Width: 3 mm
  • Width: 152 mm


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