Advanced Statistical Methods for the Analysis of Large Data-Sets Agostino Di Ciaccio Editor - neues Buch

EAN (ISBN-13): 9783642210372
Erscheinungsjahr: 2012
Herausgeber: Springer Berlin Heidelberg Digital >16

Buch in der Datenbank seit 2009-08-16T19:12:25+02:00 (Vienna)
Detailseite zuletzt geändert am 2024-02-05T16:09:53+01:00 (Vienna)
ISBN/EAN: 9783642210372

ISBN - alternative Schreibweisen:
978-3-642-21037-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: ibanez, agosti, mauro, agostino, ibáñez, miguel angulo
Titel des Buches: advanced method, statistica, advanced statistical methods for the analysis large data sets

---

Daten vom Verlag:

Autor/in: Agostino Di Ciaccio; Mauro Coli; Jose Miguel Angulo Ibanez
Titel: Selected Papers of the Statistical Societies; Studies in Theoretical and Applied Statistics; Advanced Statistical Methods for the Analysis of Large Data-Sets
Verlag: Springer; Springer Berlin
486 Seiten
Erscheinungsjahr: 2012-03-05
Berlin; Heidelberg; DE
Sprache: Englisch
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XIV, 486 p.

EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Clustering for large data-sets; Data Mining; Data integration and record linkage; Large-scale forecasting; Managing huge administrative data; C; Statistical Theory and Methods; Statistics and Computing; Statistics in Business, Management, Economics, Finance, Insurance; Mathematics and Statistics; Mathematische und statistische Software; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; BC

The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on “Advanced Statistical Methods for the Analysis of Large Data-sets.”

  Multivariate Analysis: Firm Size Dynamics in an Industrial District: The Mover–Stayer Model in Action (Cipollini F. , Ferretti C., Ganugi P.).- Multiple Correspondence Analysis for the Quantification and Visualization of Large Categorical Data Sets (Iodice D'Enza A., Greenacre M.).- Multivariate Ranks-based Concordance Indexes (Raffinetti E., Giudici P.).- Methods for Reconciling the Micro and the Macro in Family Demography Research: A Systematization (Matysiak A., Vignoli D.).          

Part I Part II Part III Part IV Part V Part VI Part VII Part VIII Part IX Part X Part XI Agostino Di Ciaccio Mauro Coli Jose Miguel Angulo Ibañez

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.

Selected papers considering both methodological and applicative issues Analyzing several aspects of the following topics: The treatment of large administrative data with data integration and record linkage The analysis of genomic and microarray data The visualization and reduction of large data-sets The analysis of high frequency data in finance The analysis of social networks or complex time series databases The analysis of environmental data