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Managing and Mining Uncertain Data

Aus der Reihe Advances in Database Systems
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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

11.02.2009

Abbildungen

XXII, 60 illus., schwarz-weiss Illustrationen

Herausgeber

Charu C. Aggarwal

Verlag

Springer Us

Seitenzahl

494

Maße (L/B/H)

24,1/16/3,4 cm

Gewicht

850 g

Auflage

1st Edition.2nd Printing. 2009

Sprache

Englisch

ISBN

978-0-387-09689-6

Beschreibung

Rezension

From the reviews:


"The three broad areas covered in Aggarwal’s book are modeling and system design, management, and mining of uncertain data. … Aggarwal’s book is a timely publication, in that it provides a good summary of the current state of the art in the area of uncertain data modeling, management, and mining. It should be of interest to researchers and graduate students involved in the area, as well as novices who wish to become acquainted with the topic." (John Fulcher, ACM Computing Reviews, May, 2009)

Zitat

From the reviews:
"The three broad areas covered in Aggarwal's book are modeling and system design, management, and mining of uncertain data. ... Aggarwal's book is a timely publication, in that it provides a good summary of the current state of the art in the area of uncertain data modeling, management, and mining. It should be of interest to researchers and graduate students involved in the area, as well as novices who wish to become acquainted with the topic." (John Fulcher, ACM Computing Reviews, May, 2009)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

11.02.2009

Abbildungen

XXII, 60 illus., schwarz-weiss Illustrationen

Herausgeber

Charu C. Aggarwal

Verlag

Springer Us

Seitenzahl

494

Maße (L/B/H)

24,1/16/3,4 cm

Gewicht

850 g

Auflage

1st Edition.2nd Printing. 2009

Sprache

Englisch

ISBN

978-0-387-09689-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Managing and Mining Uncertain Data
  • Produktbild: Managing and Mining Uncertain Data
  • An Introduction to Uncertain Data Algorithms and Applications.- Models for Incomplete and Probabilistic Information.- Relational Models and Algebra for Uncertain Data.- Graphical Models for Uncertain Data.- Trio A System for Data Uncertainty and Lineage.- MayBMS A System for Managing Large Probabilistic Databases.- Uncertainty in Data Integration.- Sketching Aggregates over Probabilistic Streams.- Probabilistic Join Queries in Uncertain Databases.- Indexing Uncertain Data.- Querying Uncertain Spatiotemporal Data.- Probabilistic XML.- On Clustering Algorithms for Uncertain Data.- On Applications of Density Transforms for Uncertain Data Mining.- Frequent Pattern Mining Algorithms with Uncertain Data.- Probabilistic Querying and Mining of Biological Images.