Advanced statistical methods for the analysis of large data-sets
Publisher:
Springer
Pub. Date:
©2012
Language:
English
Description
Many research studies in the social and economic fields regard the collection and analysis of large amounts of data. These data sets vary in their nature and complexity, they may be one-off or repeated, they may be hierarchical, spatial or temporal. Examples include textual data, transaction-based data, medical data and financial time-series. Standard statistical techniques are usually not well suited to manage this type of data and many authors have proposed extensions of classical techniques or completely new methods. The huge size of these data-sets and their complexity require new strategies of analysis sometimes subsumed under the terms "data mining" or "predictive analytics". This volume contains a peer review selection of papers, whose preliminary version was presented at the international meeting of the Italian Statistical Society "Statistical Methods for the analysis of large data-sets". It collects new ideas, methods and original applications to deal with the complexity and high dimensionality of data
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Contributors:
ISBN:
9783642210365
9783642210372
9783642210372
Staff View
Grouping Information
Grouped Work ID | acb5fcfa-e5d0-261f-e3e3-1bf54f90d8ff |
---|---|
Grouping Title | advanced statistical methods for the analysis of large data sets |
Grouping Author | agostino di ciaccio |
Grouping Category | book |
Grouping Language | English (eng) |
Last Grouping Update | 2024-04-05 08:52:37AM |
Last Indexed | 2024-04-28 23:27:39PM |
Solr Fields
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auth_author2
Angulo Ibañez, Jose Miguel
Coli, Mauro
Di Ciaccio, Agostino
Coli, Mauro
Di Ciaccio, Agostino
author2-role
Angulo Ibañez, Jose Miguel,editor
Coli, Mauro,editor
Di Ciaccio, Agostino,editor
SpringerLink (Online Service)
Coli, Mauro,editor
Di Ciaccio, Agostino,editor
SpringerLink (Online Service)
available_at_ccu
CCU Electronic Resources
detailed_location_ccu
CCU Electronic Resources
display_description
Many research studies in the social and economic fields regard the collection and analysis of large amounts of data. These data sets vary in their nature and complexity, they may be one-off or repeated, they may be hierarchical, spatial or temporal. Examples include textual data, transaction-based data, medical data and financial time-series. Standard statistical techniques are usually not well suited to manage this type of data and many authors have proposed extensions of classical techniques or completely new methods. The huge size of these data-sets and their complexity require new strategies of analysis sometimes subsumed under the terms "data mining" or "predictive analytics". This volume contains a peer review selection of papers, whose preliminary version was presented at the international meeting of the Italian Statistical Society "Statistical Methods for the analysis of large data-sets". It collects new ideas, methods and original applications to deal with the complexity and high dimensionality of data
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last_indexed
2024-04-29T05:27:39.260Z
lexile_score
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literary_form
Non Fiction
literary_form_full
Non Fiction
owning_library_ccu
Colorado Christian University Online
owning_location_ccu
CCU Electronic Resources
primary_isbn
9783642210365
publishDate
2012
publisher
Springer
recordtype
grouped_work
series
Studies in theoretical and applied statistics
series_with_volume
Studies in theoretical and applied statistics|
subject_facet
Estadística matemática
MATHEMATICS -- Probability & Statistics -- General
Mathematical statistics
Muestreo (Estadística)
Sampling (Statistics)
Échantillonnage (Statistique)
MATHEMATICS -- Probability & Statistics -- General
Mathematical statistics
Muestreo (Estadística)
Sampling (Statistics)
Échantillonnage (Statistique)
title_display
Advanced statistical methods for the analysis of large data-sets
title_full
Advanced statistical methods for the analysis of large data-sets / Agostino Di Ciaccio, Mauro Coli, Jose Miguel Angulo Ibañez, editors
title_short
Advanced statistical methods for the analysis of large data-sets
topic_facet
Estadística matemática
General
MATHEMATICS
Mathematical statistics
Muestreo (Estadística)
Probability & Statistics
Sampling (Statistics)
Échantillonnage (Statistique)
General
MATHEMATICS
Mathematical statistics
Muestreo (Estadística)
Probability & Statistics
Sampling (Statistics)
Échantillonnage (Statistique)
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