Paper Info
Title
Innovative Approaches for efficiently Warehousing Complex Data from the Web.
Abstract
Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. With the development of Internet, the availability of various types of data has increased. Thus, users require applications to help them obtaining knowledge from the Web. One possible solution to facilitate this task is to extract information from the Web, transform and load it to a Web Warehouse, which provides uniform access methods for automatic processing of the data. In this chapter, we present three innovative researches recently introduced to extend the capabilities of decision support systems, namely (1) the use of XML as a logical and physical model for complex data warehouses, (2) associating data mining to OLAP to allow elaborated analysis tasks for complex data and (3) schema evolution in complex data warehouses for personalized analyses. Our contributions cover the main phases of the data warehouse design process: data integration and modeling and user driven-OLAP analysis.
Year
Venue
Field
2017
arXiv: Databases
Data warehouse,Data science,Information system,Data integration,Data mining,Computer science,Schema evolution,World Wide Web,XML,Decision support system,Dimensional modeling,Online analytical processing,Database
DocType
Volume
Citations 
Journal
abs/1701.08643
0
PageRank 
References 
Authors
0.34
46
8
Name
Order
Citations
PageRank
Fadila Bentayeb119836.79
Nora Maiz211.37
Hadj Mahboubi3928.60
Cécile Favre411014.96
S. Loudcher595.17
Nouria Harbi6539.37
Omar Boussaid731246.88
Jérôme Darmont838250.93