Detalles MARC
000 -LEADER |
fixed length control field |
03358nam a2200433 a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20241218115401.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
m d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr cnu---uuuuu |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
161109s2016 s 000 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781447173076 |
-- |
978-1-4471-7307-6 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
025.04 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Bramer, Max., |
Relator term |
autor. |
Relationship |
aut. |
-- |
http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Principles of data mining |
Medium |
[electronic resource] / |
Statement of responsibility, etc. |
by Max Bramer. |
250 ## - EDITION STATEMENT |
Edition statement |
Tercera edicion. |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
London |
Name of producer, publisher, distributor, manufacturer |
Springer London |
-- |
Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice |
2016 |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Date of production, publication, distribution, manufacture, or copyright notice |
2016 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XV, 526 p. 123 illus. : |
Other physical details |
online resource. |
336 ## - CONTENT TYPE |
Content type term |
texto |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computador |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
recurso en línea |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
490 1# - SERIES STATEMENT |
Series statement |
Undergraduate Topics in Computer Science, |
International Standard Serial Number |
1863-7310 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Incluye referencias bibliográficas e índice. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction to Data Mining -- Data for Data Mining -- Introduction to Classification: Na© ve Bayes and Nearest Neighbour -- Using Decision Trees for Classification -- Decision Tree Induction: Using Entropy for Attribute Selection -- Decision Tree Induction: Using Frequency Tables for Attribute Selection -- Estimating the Predictive Accuracy of a Classifier -- Continuous Attributes -- Avoiding Overfitting of Decision Trees -- More About Entropy -- Inducing Modular Rules for Classification -- Measuring the Performance of a Classifier -- Dealing with Large Volumes of Data -- Ensemble Classification -- Comparing Classifiers -- Associate Rule Mining I -- Associate Rule Mining II -- Associate Rule Mining III -- Clustering -- Mining -- Classifying Streaming Data -- Classifying Streaming Data II: Time-dependent Data -- Appendix A - Essential Mathematics -- Appendix B - Datasets -- Appendix C - Sources of Further Information -- Appendix D - Glossary and Notation -- Appendix E - Solutions to Self-assessment Exercises -- Index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Este libro explica y explora las principales técnicas de minería de datos, la extracción automática de información implícita y potencialmente útil de los datos, que se utiliza cada vez más en áreas comerciales, científicas y otras áreas de aplicación. Se centra en la clasificación, la minería de reglas de asociación y la agrupación.Cada tema se explica claramente, con un enfoque en algoritmos, no formalismo matemático, y se ilustra con ejemplos detallados y trabajados. El libro está escrito para lectores sin una sólida formación en matemáticas o estadísticas y las fórmulas utilizadas se explican en detalle. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Almacenamiento y recuperación de información. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Administración de bases de datos. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Inteligencia artificial. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Ciencias de la computación. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Almacenamiento y recuperación de información. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Administración de bases de datos. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Técnicas de programación. |
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 |
856 7# - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/1JI7dd7CnyUrSTZ9qW9MarCn1Tadn0fVu/view?usp=sharing">https://drive.google.com/file/d/1JI7dd7CnyUrSTZ9qW9MarCn1Tadn0fVu/view?usp=sharing</a> |
Public note |
Vea este libro electrónico |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Institution code [OBSOLETE] |
UMAYOR |
Classification part |
025.04 |
Item part |
B815 |
Source of classification or shelving scheme |
Dewey Decimal Classification |