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Advances in knowledge discovery and data mining : 26th Pacific-Asia conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, proceedings : Part II / / edited by João Gama [and five others]
Advances in knowledge discovery and data mining : 26th Pacific-Asia conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, proceedings : Part II / / edited by João Gama [and five others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (570 pages)
Disciplina 006.3
Collana Lecture Notes in Computer Science
Soggetto topico Data mining
Artificial intelligence
ISBN 3-031-05936-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996475772203316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in knowledge discovery and data mining : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, proceedings : Part 3 / / edited by João Gama, [and five others]
Advances in knowledge discovery and data mining : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, proceedings : Part 3 / / edited by João Gama, [and five others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (396 pages)
Disciplina 006.3
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
ISBN 3-031-05981-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996475772403316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in knowledge discovery and data mining : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, proceedings : Part 3 / / edited by João Gama, [and five others]
Advances in knowledge discovery and data mining : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, proceedings : Part 3 / / edited by João Gama, [and five others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (396 pages)
Disciplina 006.3
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
ISBN 3-031-05981-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910568276103321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in knowledge discovery and data mining : 26th Pacific-Asia conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, proceedings : Part II / / edited by João Gama [and five others]
Advances in knowledge discovery and data mining : 26th Pacific-Asia conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, proceedings : Part II / / edited by João Gama [and five others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (570 pages)
Disciplina 006.3
Collana Lecture Notes in Computer Science
Soggetto topico Data mining
Artificial intelligence
ISBN 3-031-05936-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910568279103321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning : Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020 : Revised Selected Papers / / Joao Gama [and seven others], (eds)
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning : Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020 : Revised Selected Papers / / Joao Gama [and seven others], (eds)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (XVII, 310 p. 84 illus.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Artificial intelligence - Industrial applications
ISBN 3-030-66770-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Stream Learning -- Feature Learning -- Unsupervised Machine Learning -- Hardware -- Methods -- Quantization.
Record Nr. UNINA-9910447241003321
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning : Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020 : Revised Selected Papers / / Joao Gama [and seven others], (eds)
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning : Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020 : Revised Selected Papers / / Joao Gama [and seven others], (eds)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (XVII, 310 p. 84 illus.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Artificial intelligence - Industrial applications
ISBN 3-030-66770-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Stream Learning -- Feature Learning -- Unsupervised Machine Learning -- Hardware -- Methods -- Quantization.
Record Nr. UNISA-996465355603316
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui