Data preprocessing in data mining:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham [u.a.]
Springer
2015
|
| Schriftenreihe: | Intelligent systems reference library
72 |
| Schlagworte: | |
| Online-Zugang: | TUM01 Volltext Inhaltsverzeichnis Abstract |
| ISBN: | 9783319102474 9783319102467 |
| DOI: | 10.1007/978-3-319-10247-4 |
Internformat
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Datensatz im Suchindex
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| adam_text | DATA PREPROCESSING IN DATA MINING
/ GARCIA, SALVADOR
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
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.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
DATA PREPROCESSING IN DATA MINING
/ GARCIA, SALVADOR
: 2015
ABSTRACT / INHALTSTEXT
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
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| id | DE-604.BV042195461 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:51:12Z |
| institution | BVB |
| isbn | 9783319102474 9783319102467 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027634457 |
| oclc_num | 890061832 |
| open_access_boolean | |
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| publishDate | 2015 |
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| publisher | Springer |
| record_format | marc |
| series | Intelligent systems reference library |
| series2 | Intelligent systems reference library |
| spellingShingle | García, Salvador Data preprocessing in data mining Intelligent systems reference library Ingenieurwissenschaften Data mining Computer vision Engineering |
| title | Data preprocessing in data mining |
| title_auth | Data preprocessing in data mining |
| title_exact_search | Data preprocessing in data mining |
| title_full | Data preprocessing in data mining Salvador García ; Julián Luengo ; Francisco Herrera |
| title_fullStr | Data preprocessing in data mining Salvador García ; Julián Luengo ; Francisco Herrera |
| title_full_unstemmed | Data preprocessing in data mining Salvador García ; Julián Luengo ; Francisco Herrera |
| title_short | Data preprocessing in data mining |
| title_sort | data preprocessing in data mining |
| topic | Ingenieurwissenschaften Data mining Computer vision Engineering |
| topic_facet | Ingenieurwissenschaften Data mining Computer vision Engineering |
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