Mining of massive datasets (Record no. 18446)
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| 000 -LEADER | |
|---|---|
| fixed length control field | nam a22 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20221220111850.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221220b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781108476348 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AIKTC-KRRC |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | ENG |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | DDC23 |
| Classification number | 006.312 |
| Item number | LES |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19370 |
| Personal name | Leskovec, Jure |
| 245 ## - TITLE STATEMENT | |
| Title | Mining of massive datasets |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 3rd |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cambridge |
| Name of publisher, distributor, etc. | Cambridge University Press |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 553p. |
| Other physical details | | Binding- Hard Bound | |
| Dimensions | 25*18 cm |
| 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"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19372 |
| Personal name | Rajaraman, Anand |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 4675 |
| Personal name | Ullman, Jeffrey D. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://www.mmds.org/">http://www.mmds.org/</a> |
| Public note | eBook by Publisher |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Reference | School of Engineering & Technology | School of Engineering & Technology | Reference Section | 20/12/2022 | 22 | 4651.25 | 006.312 LES | E15781 | 25/06/2025 | 6201.67 | 20/12/2022 | Books |