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Intrusion Detection [[electronic resource] ] : A Data Mining Approach / / by Nandita Sengupta, Jaya Sil
| Intrusion Detection [[electronic resource] ] : A Data Mining Approach / / by Nandita Sengupta, Jaya Sil |
| Autore | Sengupta Nandita |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 136 p.) |
| Disciplina | 353.00722 |
| Collana | Cognitive Intelligence and Robotics |
| Soggetto topico |
Computer communication systems
Computer security Data encryption (Computer science) Computer Communication Networks Systems and Data Security Cryptology |
| ISBN | 981-15-2716-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Discretization -- Chapter 3. Data Reduction -- Chapter 4. Q-Learning Classifiers -- Chapter 5. Hierarchical Q - Learning Classifier -- Chapter 6. Conclusions and Future Research. |
| Record Nr. | UNISA-996465469303316 |
Sengupta Nandita
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Intrusion Detection : A Data Mining Approach / / by Nandita Sengupta, Jaya Sil
| Intrusion Detection : A Data Mining Approach / / by Nandita Sengupta, Jaya Sil |
| Autore | Sengupta Nandita |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 136 p.) |
| Disciplina | 353.00722 |
| Collana | Cognitive Intelligence and Robotics |
| Soggetto topico |
Computer communication systems
Computer security Data encryption (Computer science) Computer Communication Networks Systems and Data Security Cryptology |
| ISBN | 981-15-2716-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Discretization -- Chapter 3. Data Reduction -- Chapter 4. Q-Learning Classifiers -- Chapter 5. Hierarchical Q - Learning Classifier -- Chapter 6. Conclusions and Future Research. |
| Record Nr. | UNINA-9910373945203321 |
|
Sengupta Nandita
|
||
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A Metaheuristic Approach to Protein Structure Prediction : Algorithms and Insights from Fitness Landscape Analysis / / by Nanda Dulal Jana, Swagatam Das, Jaya Sil
| A Metaheuristic Approach to Protein Structure Prediction : Algorithms and Insights from Fitness Landscape Analysis / / by Nanda Dulal Jana, Swagatam Das, Jaya Sil |
| Autore | Jana Nanda Dulal |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (xxix, 220 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Emergence, Complexity and Computation |
| Soggetto topico |
Computational intelligence
Computational complexity Artificial intelligence Proteins Computational Intelligence Complexity Artificial Intelligence Protein Structure |
| ISBN | 3-319-74775-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Metaheuristic Protein Structure Prediction-An Overview -- Related Works -- Continuous Landscape Analysis using Random Walk Algorithm -- Landscape Characterization and Algorithms Selection for the PSP Problem -- The Levy distributed Parameter Adaptive Metaheuristic Algorithm for Protein Structure Prediction -- Protein Structure Prediction using Improved Variants of Metaheuristic Algorithms -- Hybrid Metaheuristic Approach for Protein Structure Prediction -- Conclusions and Future Research. |
| Record Nr. | UNINA-9910299957003321 |
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Jana Nanda Dulal
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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