MARC details
| 000 -LIDER |
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04442nam a22005415i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-1-4471-7307-6 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20180206182954.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
161109s2016 xxk| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781447173076 |
| -- |
978-1-4471-7307-6 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA75.5-76.95 |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UNH |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UND |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
COM030000 |
| Source |
bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
025.04 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Bramer, Max. |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Principles of Data Mining |
| Medium |
[recurso electrónico] / |
| Statement of responsibility, etc. |
by Max Bramer. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
3rd ed. 2016. |
| 264 #1 - |
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London : |
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Springer London : |
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Imprint: Springer, |
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2016. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
XV, 526 p. 123 illus. |
| Other physical details |
online resource. |
| 336 ## - |
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text |
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txt |
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rdacontent |
| 337 ## - |
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computer |
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c |
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rdamedia |
| 338 ## - |
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online resource |
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cr |
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rdacarrier |
| 347 ## - |
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text file |
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PDF |
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rda |
| 490 1# - SERIES STATEMENT |
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| Series statement |
Undergraduate Topics in Computer Science, |
| International Standard Serial Number |
1863-7310 |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Introduction to Data Mining -- Data for Data Mining -- Introduction to Classification: Naïve 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. |
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| Summary, etc. |
This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering. Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail. It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included. This expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Computer programming. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Database management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Information storage and retrieval. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Artificial intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Information Storage and Retrieval. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Database Management. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Programming Techniques. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
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| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Relationship information |
Printed edition: |
| International Standard Book Number |
9781447173069 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
Undergraduate Topics in Computer Science, |
| -- |
1863-7310 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Public note |
Libro electrónico |
| Uniform Resource Identifier |
http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-1-4471-7307-6 |
| 912 ## - |
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ZDB-2-SCS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Libro Electrónico |
