Mining of massive datasets.
Material type: TextPublisher: Cambridge : Cambridge University Press, 2020Edition: 3rd edition. Jure Leskovec, Anand Rajaraman, Jeffrey David UllmanDescription: xi, 553 pages : illustrations (black and white) ; 26 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781108476348 (hbk.) :Subject(s): Data mining | Big data | Computers and IT | Computers and ITDDC classification: 006.3'12 Summary: Essential for students and practitioners alike, this book focuses on practical algorithms for mining data from even the largest datasets.Item type | Current library | Home library | Shelving location | Class number | Status | Date due | Barcode | Item reservations | |
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Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.312 LES (Browse shelf(Opens below)) | Available | 06795811 | |||
Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.312 LES (Browse shelf(Opens below)) | Available | 06795838 | |||
Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.312 LES (Browse shelf(Opens below)) | Available | 06795846 |
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Previous edition: 2014.
Includes bibliographical references and index.
Essential for students and practitioners alike, this book focuses on practical algorithms for mining data from even the largest datasets.
Specialized.
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