MARC details
000 -LIDER |
fixed length control field |
03725nam a22005055i 4500 |
001 - CONTROL NUMBER |
control field |
978-3-319-44550-2 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20180206182955.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
160916s2016 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783319445502 |
-- |
978-3-319-44550-2 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA75.5-76.95 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UT |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM069000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM032000 |
Source |
bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.7 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Furht, Borko. |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
Big Data Technologies and Applications |
Medium |
[recurso electrónico] / |
Statement of responsibility, etc. |
by Borko Furht, Flavio Villanustre. |
264 #1 - |
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Cham : |
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Springer International Publishing : |
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Imprint: Springer, |
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2016. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XVIII, 400 p. 118 illus. |
Other physical details |
online resource. |
336 ## - |
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text |
-- |
txt |
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rdacontent |
337 ## - |
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computer |
-- |
c |
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rdamedia |
338 ## - |
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online resource |
-- |
cr |
-- |
rdacarrier |
347 ## - |
-- |
text file |
-- |
PDF |
-- |
rda |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction to Big Data -- Big Data Analytics -- Transfer Learning Techniques -- Visualizing Big Data -- Deep Learning and Big Data -- The HPCC/ECL Platform for Big Data -- Scalable Automated Linking Technology for Big Data Computing -- Aggregated Data Analysis in HPCC Systems -- Models for Big Data -- Data Intensive Supercomputing Solutions -- Graph Processing with Massive Datasets: A KEL Primer -- HPCC Systems for Cyber Security Analytics -- Social Network Analytics: Hidden and Complex Fraud Schemes -- Modeling Ebola Spread and Using HPCC/KEL System -- Unsupervised Learning and Image Classification in High Performance Computing Cluster. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer science. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Software engineering. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computers. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer science |
Subdivisión general |
Mathematics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer mathematics. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer Science. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Information Systems and Communication Service. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Software Engineering. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Mathematical Applications in Computer Science. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Villanustre, Flavio. |
Relator term |
author. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783319445489 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-44550-2 |
912 ## - |
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ZDB-2-SCS |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Libro Electrónico |