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SEKE
1993
Springer
14 years 2 months ago
Recovering Conceptual Data Models is Human-Intensive
1 To handle the complexity of modern software systems, a software comprehension strategy pointing out the al abstraction level is necessary. In this context, the role of technology...
Fabio Abbattista, Filippo Lanubile, Giuseppe Visag...
DEXAW
2007
IEEE
142views Database» more  DEXAW 2007»
13 years 12 months ago
Synopsis Data Structures for XML Databases: Models, Issues, and Research Perspectives
Due to the lack of efficient native XML database management systems, XML data manipulation and query evaluation may be resource-consuming, and represent a bottleneck for several ...
Angela Bonifati, Alfredo Cuzzocrea
DMDW
2001
127views Management» more  DMDW 2001»
13 years 11 months ago
MAC: Conceptual data modeling for OLAP
In this paper we address the issue of conceptual modeling of data used in multidimensional analysis. We view the problem from the end-user point of view and we describe a set of r...
Aris Tsois, Nikos Karayannidis, Timos K. Sellis
DOLAP
2005
ACM
14 years 2 days ago
A relevance-extended multi-dimensional model for a data warehouse contextualized with documents
Current data warehouse and OLAP technologies can be applied to analyze the structured data that companies store in their databases. The circumstances that describe the context ass...
Juan Manuel Pérez, Rafael Berlanga Llavori,...
KDD
1999
ACM
142views Data Mining» more  KDD 1999»
14 years 2 months ago
Mining GPS Data to Augment Road Models
Many advanced safety and navigation applications in vehicles require accurate, detailed digital maps, but manual lane measurements are expensive and time-consuming, making automat...
Seth Rogers, Pat Langley, Christopher Wilson