Algorithms for big data (Record no. 35234)

MARC details
000 -LEADER
fixed length control field 02132cam a22002778i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CUTN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210706144059.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200310s2020 nju 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811204739
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9789811204746
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9789811204753
041 ## - LANGUAGE CODE
Language English
042 ## - AUTHENTICATION CODE
Authentication code pcc
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.701
Edition number 23
Item number FEL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Feldman, Moran,
245 10 - TITLE STATEMENT
Title Algorithms for big data
Statement of responsibility, etc Moran Feldman.
300 ## - PHYSICAL DESCRIPTION
Extent pages cm
505 ## - FORMATTED CONTENTS NOTE
Title Contents<br/>Part I: Data Stream Algorithms<br/>Chapter 1. Introduction to Data Stream Algorithms<br/>Chapter 2. Basic Probability and Tail Bounds<br/>Chapter 3. Estimation Algorithms<br/>Chapter 4. Reservoir Sampling<br/>Chapter 5. Pairwise Independent Hashing<br/>Chapter 6. Counting Distinct Tokens<br/>Chapter 7. Sketches<br/>Chapter 8. Graph Data Stream Algorithms<br/>Chapter 9. The Sliding Window Model<br/>Part II: Sublinear Time Algorithms<br/>Chapter 10. Introduction to Sublinear Time Algorithms<br/>Chapter 11. Property Testing<br/>Chapter 12. Algorithms for Bounded Degree Graphs<br/>Chapter 13. An Algorithm for Dense Graphs<br/>Chapter 14. Algorithms for Boolean Functions<br/>Part III: Map-Reduce<br/>Chapter 15. Introduction to Map-Reduce<br/>Chapter 16. Algorithms for Lists<br/>Chapter 17. Graph Algorithms<br/>Chapter 18. Locality-Sensitive Hashing<br/>Index
520 ## - SUMMARY, ETC.
Summary, etc "This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a comprehensive overview of the fascinating world of such algorithms. To achieve these goals, the algorithmic results presented have been carefully chosen so that they demonstrate the important techniques and tools used in Big Data algorithms, and yet do not require tedious calculations or a very deep mathematical background"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type General Books
100 1# - MAIN ENTRY--PERSONAL NAME
Relator term author.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2007
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Location Shelving location Date of Cataloging Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Generalia 06/07/2021   005.701 FEL 44005 06/07/2021 06/07/2021 General Books