|
|
|
|
|
|
|
1326528
Data mining in time series and streaming databases / editor, Mark Last, Horst Bunke, Abraham Kandel
|
Judul Seri
|
:
|
Series in machine perception and artificial intelligence ;
|
Judul Asli
|
:
|
|
Isi
|
:
|
Isi : Streaming data mining with massive online analytics (MOA) / Albert Bifet, Jesse Read, Geoff Holmes, and Bernhard Pfahfinger -- Weightless neural modeling for mining data streams / Douglas O. Cardoso, Joao Gama and Felipe Franca -- Ensemble classifiers for imbalanced and evolving data streams / Dariusz Brzezzinski and Jerzy Stefanowski -- Consensus leaning for sequence data / Andreas Nienkotter and Xiaoyi Jiang -- Clustering-based classification of document streams with actuve learning / Mark Last, Maxim Stoliar and Menahern Friedman -- Supporting the mining of big data by means of domain knowledge during the pre-mining phases / Remon Cornelisse and Sunil Choenni -- Data analytics: industrial perspective & solutions for streaming data / Mohsin Munir, Sebastian Baumbach, Ying Gu, Andreas Dengel, and Sheraz Ahmed
|
Jenis Bahan
|
:
|
Monograf (teks) (volume)
|
Kreator
|
:
|
Last, Mark (editor) (pengarang -) - (Clustering-based classification of document streams with actuve learning) Bunke, Horst (editor) Kandel, Abraham (editor) Bifet, Albert (pengarang -) - (Streaming data mining with massive online analytics (MOA)) Read, Jesse (pengarang -) - (Streaming data mining with massive online analytics (MOA)) Holmes, Geoff (pengarang -) - (Streaming data mining with massive online analytics (MOA)) Pfahfinger, Bernhard (pengarang -) - (Streaming data mining with massive online analytics (MOA)) Cardoso, Douglas O. (pengarang -) - (Weightless neural modeling for mining data streams) Gama, Joao (pengarang -) - (Weightless neural modeling for mining data streams) Franca, Felipe (pengarang -) - (Weightless neural modeling for mining data streams) Brzezzinski, Dariusz (pengarang -) - (Ensemble classifiers for imbalanced and evolving data streams) Stefanowski, Jerzy (pengarang -) - (Ensemble classifiers for imbalanced and evolving data streams) Nienkotter, Andreas (pengarang -) - (Consensus leaning for sequence data) Xiaoyi, Jiang (pengarang -) - (Consensus leaning for sequence data) Stoliar, Maxim (pengarang -) - (Clustering-based classification of document streams with actuve learning) Friedman, Menahern (pengarang -) - (Clustering-based classification of document streams with actuve learning) Cornelisse, Remon (pengarang -) - (Supporting the mining of big data by means of domain knowledge during the pre-mining phases) Choenni, Sunil (pengarang -) - (Supporting the mining of big data by means of domain knowledge during the pre-mining phases) Munir, Mohsin (pengarang -) - (Data analytics: industrial perspective & solutions for streaming data) Baumbach, Sebastian (pengarang -) - (Data analytics: industrial perspective & solutions for streaming data) Ying, Gu (pengarang -) - (Data analytics: industrial perspective & solutions for streaming data) Dengel, Andreas (pengarang -) - (Data analytics: industrial perspective & solutions for streaming data) Ahmed, Sheraz (pengarang -) - (Data analytics: industrial perspective & solutions for streaming data)
|
Penerbitan
|
:
|
World Scientific Publishing Co. Pte. Ltd
|
No. Panggil
|
:
|
006.312 DAT
|
Konten Digital
|
:
|
Tidak Tersedia
|
Ketersediaan
|
:
|
2 dari 2 Item
|
|
|
|
|
|
1568836
The Unbearable weight of massive talent / directed by Tom Gormican ; produced by Nicolas Cage, Mike Nilon, Kristin Burr, Kevin Turen
|
Judul Seri
|
:
|
|
Judul Asli
|
:
|
|
Isi
|
:
|
|
Jenis Bahan
|
:
|
Rekaman Video (citra bergerak dua dimensi) (cakram video)
|
Kreator
|
:
|
Gormican, Tom (sutrdara) (penulis) Cage, Nicolas (produser) (aktor) Nilon, Mike (produser) Burr, Kristin (produser) Turen, Kevin (produser) Sheen, Lily (aktris) Harris, Neil Patrick (aktor) Pascal, Pedro (aktor) Haddish, Tiffany (aktris) Barinholtz, Iko (aktor) Horgan, Sharon (aktris)
|
Penerbitan
|
:
|
Lionsgate
|
No. Panggil
|
:
|
791.436 17 UNB
|
Konten Digital
|
:
|
Tidak Tersedia
|
Ketersediaan
|
:
|
2 dari 2 Item
|
|
|
|
|