Feature Selection for High-Dimensional Data:
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
2015
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Schriftenreihe: | Artificial Intelligence: Foundations, Theory, and Algorithms
|
Schlagworte: | |
Online-Zugang: | BTU01 FHA01 FHI01 FHM01 FHN01 FKE01 FLA01 FRO01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract |
Beschreibung: | 1 Online-Ressource (XV, 147 Seiten) 16 illus., 8 illus. in color |
ISBN: | 9783319218588 |
ISSN: | 2365-3051 |
DOI: | 10.1007/978-3-319-21858-8 |
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Datensatz im Suchindex
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adam_text | FEATURE SELECTION FOR HIGH-DIMENSIONAL DATA
/ BOLON-CANEDO, VERONICA
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION TO HIGH-DIMENSIONALITY
FOUNDATIONS OF FEATURE SELECTION
EXPERIMENTAL FRAMEWORK
CRITICAL REVIEW OF FEATURE SELECTION METHODS
APPLICATION OF FEATURE SELECTION TO REAL PROBLEMS
EMERGING CHALLENGES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
FEATURE SELECTION FOR HIGH-DIMENSIONAL DATA
/ BOLON-CANEDO, VERONICA
: 2015
ABSTRACT / INHALTSTEXT
THIS BOOK OFFERS A COHERENT AND COMPREHENSIVE APPROACH TO FEATURE SUBSET
SELECTION IN THE SCOPE OF CLASSIFICATION PROBLEMS, EXPLAINING THE
FOUNDATIONS, REAL APPLICATION PROBLEMS AND THE CHALLENGES OF FEATURE
SELECTION FOR HIGH-DIMENSIONAL DATA. THE AUTHORS FIRST FOCUS ON THE
ANALYSIS AND SYNTHESIS OF FEATURE SELECTION ALGORITHMS, PRESENTING A
COMPREHENSIVE REVIEW OF BASIC CONCEPTS AND EXPERIMENTAL RESULTS OF THE
MOST WELL-KNOWN ALGORITHMS. THEY THEN ADDRESS DIFFERENT REAL SCENARIOS
WITH HIGH-DIMENSIONAL DATA, SHOWING THE USE OF FEATURE SELECTION
ALGORITHMS IN DIFFERENT CONTEXTS WITH DIFFERENT REQUIREMENTS AND
INFORMATION: MICROARRAY DATA, INTRUSION DETECTION, TEAR FILM LIPID LAYER
CLASSIFICATION AND COST-BASED FEATURES. THE BOOK THEN DELVES INTO THE
SCENARIO OF BIG DIMENSION, PAYING ATTENTION TO IMPORTANT PROBLEMS UNDER
HIGH-DIMENSIONAL SPACES, SUCH AS SCALABILITY, DISTRIBUTED PROCESSING AND
REAL-TIME PROCESSING, SCENARIOS THAT OPEN UP NEW AND INTERESTING
CHALLENGES FOR RESEARCHERS. THE BOOK IS USEFUL FOR PRACTITIONERS,
RESEARCHERS AND GRADUATE STUDENTS IN THE AREAS OF MACHINE LEARNING AND
DATA MINING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author | Bolón-Canedo, Verónica 1984- Sánchez-Maroño, Noelia Alonso-Betanzos, Amparo |
author_GND | (DE-588)109648837X |
author_facet | Bolón-Canedo, Verónica 1984- Sánchez-Maroño, Noelia Alonso-Betanzos, Amparo |
author_role | aut aut aut |
author_sort | Bolón-Canedo, Verónica 1984- |
author_variant | v b c vbc n s m nsm a a b aab |
building | Verbundindex |
bvnumber | BV043209398 |
classification_rvk | SK 830 ST 302 |
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collection | ZDB-2-SCS |
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dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik Mathematik |
doi_str_mv | 10.1007/978-3-319-21858-8 |
format | Electronic eBook |
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id | DE-604.BV043209398 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:20:35Z |
institution | BVB |
isbn | 9783319218588 |
issn | 2365-3051 |
language | English |
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owner_facet | DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-634 DE-860 DE-861 DE-739 |
physical | 1 Online-Ressource (XV, 147 Seiten) 16 illus., 8 illus. in color |
psigel | ZDB-2-SCS ZDB-2-SCS_2015 |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Springer |
record_format | marc |
series2 | Artificial Intelligence: Foundations, Theory, and Algorithms |
spelling | Bolón-Canedo, Verónica 1984- Verfasser (DE-588)109648837X aut Feature Selection for High-Dimensional Data by Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos Cham Springer 2015 1 Online-Ressource (XV, 147 Seiten) 16 illus., 8 illus. in color txt rdacontent c rdamedia cr rdacarrier Artificial Intelligence: Foundations, Theory, and Algorithms 2365-3051 Computer science Data structures (Computer science) Data mining Artificial intelligence Computer Science Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Data Structures Informatik Künstliche Intelligenz Hochdimensionale Daten (DE-588)7862975-5 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf Data Mining (DE-588)4428654-5 s Hochdimensionale Daten (DE-588)7862975-5 s Merkmalsextraktion (DE-588)4314440-8 s DE-604 Sánchez-Maroño, Noelia Verfasser aut Alonso-Betanzos, Amparo Verfasser aut Erscheint auch als Druckausgabe 978-3-319-21857-1 https://doi.org/10.1007/978-3-319-21858-8 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632559&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632559&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
spellingShingle | Bolón-Canedo, Verónica 1984- Sánchez-Maroño, Noelia Alonso-Betanzos, Amparo Feature Selection for High-Dimensional Data Computer science Data structures (Computer science) Data mining Artificial intelligence Computer Science Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Data Structures Informatik Künstliche Intelligenz Hochdimensionale Daten (DE-588)7862975-5 gnd Data Mining (DE-588)4428654-5 gnd Merkmalsextraktion (DE-588)4314440-8 gnd |
subject_GND | (DE-588)7862975-5 (DE-588)4428654-5 (DE-588)4314440-8 |
title | Feature Selection for High-Dimensional Data |
title_auth | Feature Selection for High-Dimensional Data |
title_exact_search | Feature Selection for High-Dimensional Data |
title_full | Feature Selection for High-Dimensional Data by Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos |
title_fullStr | Feature Selection for High-Dimensional Data by Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos |
title_full_unstemmed | Feature Selection for High-Dimensional Data by Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos |
title_short | Feature Selection for High-Dimensional Data |
title_sort | feature selection for high dimensional data |
topic | Computer science Data structures (Computer science) Data mining Artificial intelligence Computer Science Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Data Structures Informatik Künstliche Intelligenz Hochdimensionale Daten (DE-588)7862975-5 gnd Data Mining (DE-588)4428654-5 gnd Merkmalsextraktion (DE-588)4314440-8 gnd |
topic_facet | Computer science Data structures (Computer science) Data mining Artificial intelligence Computer Science Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Data Structures Informatik Künstliche Intelligenz Hochdimensionale Daten Data Mining Merkmalsextraktion |
url | https://doi.org/10.1007/978-3-319-21858-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632559&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632559&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT boloncanedoveronica featureselectionforhighdimensionaldata AT sanchezmarononoelia featureselectionforhighdimensionaldata AT alonsobetanzosamparo featureselectionforhighdimensionaldata |