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Cover: 9781108476348 | Mining of Massive Datasets | Jure Leskovec (u. a.) | Buch | Gebunden
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Mining of Massive Datasets
Buch von Jure Leskovec (u. a.)
Sprache: Englisch

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Beschreibung
Now in its third edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Now in its third edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Über den Autor
Jure Leskovec is Associate Professor of Computer Science at Stanford University, California. His research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. Problems he investigates are motivated by large-scale data, the Web, and on-line media. This research has won several awards including a Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, an Okawa Foundation Fellowship, and numerous best paper awards. His research has also been featured in popular press outlets such as the New York Times, the Wall Street Journal, the Washington Post, MIT Technology Review, NBC, BBC, CBC, and Wired. Leskovec has authored the Stanford Network Analysis Platform (SNAP, [...] a general purpose network analysis and graph mining library that easily scales to massive networks with hundreds of millions of nodes and billions of edges. He is also Investigator at the Chan Zuckerberg Biohub. You can follow him on Twitter at [...]
Inhaltsverzeichnis
1. Data mining; 2. MapReduce and the new software stack; 3. Finding similar items; 4. Mining data streams; 5. Link analysis; 6. Frequent itemsets; 7. Clustering; 8. Advertising on the web; 9. Recommendation systems; 10. Mining social-network graphs; 11. Dimensionality reduction; 12. Large-scale machine learning; 13. Neural nets and deep learning; Index.
Details
Erscheinungsjahr: 2020
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781108476348
ISBN-10: 1108476341
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Leskovec, Jure
Rajaraman, Anand
Ullman, Jeffrey David
Hersteller: Cambridge University Press
Maße: 250 x 175 x 35 mm
Von/Mit: Jure Leskovec (u. a.)
Erscheinungsdatum: 09.01.2020
Gewicht: 1,144 kg
Artikel-ID: 117635441
Über den Autor
Jure Leskovec is Associate Professor of Computer Science at Stanford University, California. His research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. Problems he investigates are motivated by large-scale data, the Web, and on-line media. This research has won several awards including a Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, an Okawa Foundation Fellowship, and numerous best paper awards. His research has also been featured in popular press outlets such as the New York Times, the Wall Street Journal, the Washington Post, MIT Technology Review, NBC, BBC, CBC, and Wired. Leskovec has authored the Stanford Network Analysis Platform (SNAP, [...] a general purpose network analysis and graph mining library that easily scales to massive networks with hundreds of millions of nodes and billions of edges. He is also Investigator at the Chan Zuckerberg Biohub. You can follow him on Twitter at [...]
Inhaltsverzeichnis
1. Data mining; 2. MapReduce and the new software stack; 3. Finding similar items; 4. Mining data streams; 5. Link analysis; 6. Frequent itemsets; 7. Clustering; 8. Advertising on the web; 9. Recommendation systems; 10. Mining social-network graphs; 11. Dimensionality reduction; 12. Large-scale machine learning; 13. Neural nets and deep learning; Index.
Details
Erscheinungsjahr: 2020
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781108476348
ISBN-10: 1108476341
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Leskovec, Jure
Rajaraman, Anand
Ullman, Jeffrey David
Hersteller: Cambridge University Press
Maße: 250 x 175 x 35 mm
Von/Mit: Jure Leskovec (u. a.)
Erscheinungsdatum: 09.01.2020
Gewicht: 1,144 kg
Artikel-ID: 117635441
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