id: 06094749
dt: a
an: 06094749
au: Feng, Haitang; Lumineau, Nicolas; Hacid, Mohand-Saíd; Domps, Richard
ti: Hierarchy-based update propagation in decision support systems.
so: Lee, Sang-goo (ed.) et al., Database systems for advanced applications.
    17th international conference, DASFAA 2012, Busan, South Korea, April
    15‒19, 2012. Proceedings, Part II. Berlin: Springer (ISBN
    978-3-642-29034-3/pbk). Lecture Notes in Computer Science 7239, 261-271
    (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: aggregate update propagation; data warehouses; decision support systems;
    dimension-hierarchy
ci: 
li: doi:10.1007/978-3-642-29035-0_20
ab: Summary: Sales forecasting systems are used by enterprise managers and
    executives to better understand the market trends and prepare
    appropriate business plans. These decision support systems usually use
    a data warehouse to store data and OLAP tools to visualize query
    results. A specific feature of sales forecasting systems regarding
    future predictions modification is backward propagation of updates,
    which is the computation of the impact of modifications on summaries
    over base data. In Data warehouses, some methods propagate updates in
    hierarchies when data sources are subject to modifications. However,
    very few works have been devoted so far, regarding update propagation
    from summaries to data sources. This paper proposes an algorithm called
    PAM (Propagation of Aggregate Modification), to efficiently propagate
    modifications on summaries over base data. Experiments on an
    operational application (Anticipeo) have been conducted.
rv: