Efficiently Computing and Querying Multidimensional OLAP Data Cubes over Probabilistic Relational Data

Alfredo Cuzzocrea; Dimitrios Gunopulos

doi:10.1007/978-3-642-15576-5_12

ScienceGate Book Chapters

BOOK-CHAPTER

Efficiently Computing and Querying Multidimensional OLAP Data Cubes over Probabilistic Relational Data

Alfredo Cuzzocrea Dimitrios Gunopulos

Year: 2010 Lecture notes in computer science Pages: 132-148 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-15576-5_12

Get Full-Text PDF Get Analytical Report

Keywords:

Online analytical processing Computer science Probabilistic logic Probabilistic database Data mining Data cube Relational database Database Theoretical computer science Data warehouse Database model Artificial intelligence

Metrics

Cited By

2.62

FWCI (Field Weighted Citation Impact)

Refs

0.89

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Database Systems and Queries

Physical Sciences → Computer Science → Computer Networks and Communications

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Efficiently Computing and Querying Multidimensional OLAP Data Cubes over Probabilistic Relational Data

Metrics

Citation History

Topics

Related Documents

A Decomposition Framework for Computing and Querying Multidimensional OLAP Data Cubes over Probabilistic Relational Data

A Decomposition Framework for Computing and Querying Multidimensional OLAP Data Cubes over Probabilistic Relational Data

OLAP over probabilistic data cubes I: Aggregating, materializing, and querying

OLAP Over Probabilistic Data

OLAP over Probabilistic Data Cubes II: Parallel Materialization and Extended Aggregates