MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03272cam a22003615i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
21740290 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20241030142257.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
|---|
| fixed length control field |
m |o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
cr ||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
140830s2015 gw |||| o |||| 0|eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2019757897 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
97831319102467 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
DLC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.D343 |
| Item number |
G373 2015 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
García, Salvador, |
| Relator term |
author. |
| 9 (RLIN) |
2319 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Data Preprocessing in Data Mining / |
| Statement of responsibility, etc. |
by Salvador García, Julián Luengo, Francisco Herrera. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2015. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cham : |
| Name of producer, publisher, distributor, manufacturer |
Springer International Publishing : |
| -- |
Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2015. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XV, 320 p. : |
| Other physical details |
ill; |
| Dimensions |
24 cm |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction -- Data Sets and Proper Statistical Analysis of Data Mining Techniques -- Data Preparation Basic Models -- Dealing with Missing Values -- Dealing with Noisy Data -- Data Reduction -- Feature Selection -- Instance Selection -- Discretization -- A Data Mining Software Package Including Data Preparation and Reduction: KEEL. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Description based on publisher-supplied MARC data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computational intelligence. |
| 9 (RLIN) |
2320 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining. |
| 9 (RLIN) |
805 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Optical data processing. |
| 9 (RLIN) |
2321 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computational Intelligence. |
| Authority record control number or standard number |
https://scigraph.springernature.com/ontologies/product-market-codes/T11014 |
| 9 (RLIN) |
2322 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data Mining and Knowledge Discovery. |
| Authority record control number or standard number |
https://scigraph.springernature.com/ontologies/product-market-codes/I18030 |
| 9 (RLIN) |
2323 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Image Processing and Computer Vision. |
| Authority record control number or standard number |
https://scigraph.springernature.com/ontologies/product-market-codes/I22021 |
| 9 (RLIN) |
2324 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Herrera, Francisco |
| Titles and other words associated with a name |
(Computer scientist), |
| Relator term |
author. |
| 9 (RLIN) |
2325 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Luengo, Julián, |
| Relator term |
author. |
| 9 (RLIN) |
2326 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |
