Mining of massive datasets / (Record no. 19335)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02377cam a22002418i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250421080607.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250213s2020 nyua b 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781108476348 (hardback) |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | SBF2024 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Transcribing agency | DLC |
| Modifying agency | AE-ShU |
| Transcribing agency | UKB |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HF5415.125 |
| Item number | .L46 2020 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Leskovec, Jurij, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Mining of massive datasets / |
| Statement of responsibility, etc. | Jure Leskovec, Stanford University, Anand Rajaraman, Rocketship VC, Jeffrey David Ullman, Stanford University. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Third edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New York, NY : |
| Name of publisher, distributor, etc. | Cambridge University Press, |
| Date of publication, distribution, etc. | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 553 pages : |
| Other physical details | illustrations ; |
| Dimensions | 26 cm |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "The Web, social media, mobile activity, sensors, Internet commerce, and many other modern applications provide many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be used on even the largest datasets. It begins with a discussion of the MapReduce framework and related techniques for efficient parallel programming. The tricks of locality-sensitive hashing are explained. This body of knowledge, which deserves to be more widely known, is essential when seeking similar objects in a very large collection without having to compare each pair of objects. Stream-processing algorithms for mining data that arrives too fast for exhaustive processing are also explained. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering, each from the point of view that the data is too large to fit in main memory. Two applications: recommendation systems and Web advertising, each vital in e-commerce, are treated in detail. Later chapters cover algorithms for analyzing social-network graphs, compressing large-scale data, and machine learning. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs. Written by leading authorities in database and Web technologies, it is essential reading for students and practitioners alike"-- |
| Assigning source | Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rajaraman, Anand, |
| Relator term | author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ullman, Jeffrey D., |
| Dates associated with a name | 1942- |
| Relator term | author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Inventory number | Total checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Loanable | University of Kalba | University of Kalba | 2013-02-25 | SBF2024 | i15737688 | HF5415.125 .L46 2020 | 00-1-384097 | 2025-04-21 | 2025-04-21 | Books |