Databases and data warehouse systems have been evolving from handling normalized spreadsheets stored in relational databases, to managing and analyzing diverse application-oriented data with complex interconnecting structures. Responding to this emerging trend, graphs have been growing rapidly and showing their critical importance in many applications, such as the analysis of XML, social networks, Web, biological data, multimedia data and spatiotemporal data. Can we extend useful functions of databases and data warehouse systems to handle graph structured data? In particular, OLAP (On-Line Analytical Processing) has been a popular tool for fast and user-friendly multi-dimensional analysis of data warehouses. Can we OLAP graphs? Unfortunatel...
87 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.In conclusion, the multi-dimen...
Abstract: Analysts interact with OLAP data in a predominantly “drill-down ” fashion, i.e. gradually ...
OLAP cubes enable aggregation-centric analysis of transactional data by shaping data records into me...
Graphs are widespread structures providing a powerful abstraction for modeling networked data. Large...
Graphs are a fundamental structure that provides an intuitive abstraction for modeling and analyzing...
International audienceThere is a growing number of dierent research elds that are concerned with bib...
International audienceThere is a growing number of dierent research elds that are concerned with bib...
International audienceWith the recent growth of bibliographic data, many research fields work on def...
International audienceWith the recent growth of bibliographic data, many research fields work on def...
International audienceOLAP is a leading technology for analysing data and decision making. It helps ...
Online Analytical Processing (OLAP) is one of the most important technologies in data warehouse syst...
Online Analytical Processing (OLAP) is one of the most important technologies in data warehouse syst...
Online Analytical Processing (OLAP) is one of the most important technologies in data warehouse syst...
Abstract Databases and data warehouse systems have been evolving from han-dling normalized spreadshe...
87 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.In conclusion, the multi-dimen...
87 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.In conclusion, the multi-dimen...
Abstract: Analysts interact with OLAP data in a predominantly “drill-down ” fashion, i.e. gradually ...
OLAP cubes enable aggregation-centric analysis of transactional data by shaping data records into me...
Graphs are widespread structures providing a powerful abstraction for modeling networked data. Large...
Graphs are a fundamental structure that provides an intuitive abstraction for modeling and analyzing...
International audienceThere is a growing number of dierent research elds that are concerned with bib...
International audienceThere is a growing number of dierent research elds that are concerned with bib...
International audienceWith the recent growth of bibliographic data, many research fields work on def...
International audienceWith the recent growth of bibliographic data, many research fields work on def...
International audienceOLAP is a leading technology for analysing data and decision making. It helps ...
Online Analytical Processing (OLAP) is one of the most important technologies in data warehouse syst...
Online Analytical Processing (OLAP) is one of the most important technologies in data warehouse syst...
Online Analytical Processing (OLAP) is one of the most important technologies in data warehouse syst...
Abstract Databases and data warehouse systems have been evolving from han-dling normalized spreadshe...
87 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.In conclusion, the multi-dimen...
87 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.In conclusion, the multi-dimen...
Abstract: Analysts interact with OLAP data in a predominantly “drill-down ” fashion, i.e. gradually ...
OLAP cubes enable aggregation-centric analysis of transactional data by shaping data records into me...