Mining of masive datasets Jure Leskovec; Anand Rajaraman; Jeffrey D Ullman

By:

Leskovec, Jurij

Material type: Text

TextPublication details: Cambridge : Cambridge University Press , 2020Edition: 3RDDescription: 553 pISBN:

9781108476348

DDC classification:

006.312 LES

Contents:

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

Summary: Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs

List(s) this item appears in: New Arrivals Oct-Nov 2021 - Central Library IIITDMK

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	IIITDM Kurnool General Stacks	Non-fiction	006.312 LES (Browse shelf(Opens below))	Checked out	08.10.2024	0003795
Reference	IIITDM Kurnool Reference	Reference	006.312 LES (Browse shelf(Opens below))	Not For Loan		0003796

Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs

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