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Big Data Preprocessing [[electronic resource] ] : Enabling Smart Data / / by Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
| Big Data Preprocessing [[electronic resource] ] : Enabling Smart Data / / by Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera |
| Autore | Luengo Julián |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 186 p. 57 illus., 54 illus. in color.) |
| Disciplina | 005.7 |
| Soggetto topico |
Big data
Machine learning Computers Big Data Machine Learning Information Systems and Communication Service |
| ISBN | 3-030-39105-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Big Data: Technologies and Tools -- 3. Smart Data -- 4. Dimensionality Reduction for Big Data -- 5. Data Reduction for Big Data -- 6. Imperfect Big Data -- 7. Big Data Discretization -- 8. Imbalanced Data Preprocessing for Big Data -- 9. Big Data Software -- 10. Final Thoughts: From Big Data to Smart Data.-. |
| Record Nr. | UNINA-9910410052203321 |
Luengo Julián
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Preprocessing [[electronic resource] ] : Enabling Smart Data / / by Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
| Big Data Preprocessing [[electronic resource] ] : Enabling Smart Data / / by Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera |
| Autore | Luengo Julián |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 186 p. 57 illus., 54 illus. in color.) |
| Disciplina | 005.7 |
| Soggetto topico |
Big data
Machine learning Computers Big Data Machine Learning Information Systems and Communication Service |
| ISBN | 3-030-39105-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Big Data: Technologies and Tools -- 3. Smart Data -- 4. Dimensionality Reduction for Big Data -- 5. Data Reduction for Big Data -- 6. Imperfect Big Data -- 7. Big Data Discretization -- 8. Imbalanced Data Preprocessing for Big Data -- 9. Big Data Software -- 10. Final Thoughts: From Big Data to Smart Data.-. |
| Record Nr. | UNISA-996465345703316 |
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Luengo Julián
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Learning from Imbalanced Data Sets / / by Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera
| Learning from Imbalanced Data Sets / / by Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera |
| Autore | Fernández Alberto (Computer scientist) |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (385 pages) : illustrations (some color) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Computers Computer communication systems Artificial Intelligence Information Systems and Communication Service Computer Communication Networks |
| ISBN | 3-319-98074-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction to KDD and Data Science -- 2 Foundations on Imbalanced Classification -- 3 Performance measures -- 4 Cost-sensitive Learning -- 5 Data Level Preprocessing Methods -- 6 Algorithm-level Approaches -- 7 Ensemble Learning -- 8 Imbalanced Classification with Multiple Classes -- 9 Dimensionality Reduction for Imbalanced Learning -- 10 Data Intrinsic Characteristics -- 11 Learning from Imbalanced Data Streams -- 12 Non-Classical Imbalanced Classification Problems -- 13 Imbalanced Classification for Big Data -- 14 Software and Libraries for Imbalanced Classification. . |
| Record Nr. | UNINA-9910299357903321 |
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Fernández Alberto (Computer scientist)
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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