Abdelkader Hameurlain,
Josef Küng,
Roland Wagner,
Hendrik Decker,
Lenka Lhotska,
Sebastian Link
e.a.
Springer Berlin Heidelberg
e druk, 2016
9783662492130
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIV
Special Issue on Database- and Expert-Systems Applications
Specificaties
Paperback, blz.
|
Engels
Springer Berlin Heidelberg |
2016
ISBN13: 9783662492130
Rubricering
Onderdeel van serie
Lecture Notes in Computer Science
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
This, the
24th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems,
contains extended and revised versions of seven papers presented at the 25th
International Conference on Database and Expert Systems Applications, DEXA
2014, held in Munich, Germany, in September 2014. Following the conference, and
two further rounds of reviewing and selection, six extended papers and one
invited keynote paper were chosen for inclusion in this special issue. Topics
covered include systems modeling, similarity search, bioinformatics, data
pricing, k-nearest neighbor querying, database replication, and data
anonymization.
Specificaties
ISBN13:9783662492130
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Berlin Heidelberg
Hoofdrubriek:Programmeren, Computer en informatica
Inhoudsopgave
<p>Reflective Constraint Writing.- PPP-Codes for Large-Scale
Similarity Searching.- Solving Data Mismatches in Bioinformatics Workflows by
Generating Data Converters.- A Framework for Sampling-Based XML Data Pricing.- kdANN+:
A Rapid AkNN Classifier for Big Data.- Optimizing Inter-Data-Center Large-Scale
Database Parallel Replication with Workload-Driven Partitioning.- Anonymization
of Data Sets with NULL Values.</p>
Similarity Searching.- Solving Data Mismatches in Bioinformatics Workflows by
Generating Data Converters.- A Framework for Sampling-Based XML Data Pricing.- kdANN+:
A Rapid AkNN Classifier for Big Data.- Optimizing Inter-Data-Center Large-Scale
Database Parallel Replication with Workload-Driven Partitioning.- Anonymization
of Data Sets with NULL Values.</p>