Titlebook: Data Warehousing and Knowledge Discovery; 14th International C Alfredo Cuzzocrea,Umeshwar Dayal Conference proceedings 2012 Springer-Verlag

易于交談

meritorious

Susumu Furukawa,Shinji Mukap,Mitsuru Kurodaements. The base algorithm Matrix Apriori works without candidate generation, scans database only twice and brings additional advantages. Performance studies show that Incremental Matrix Apriori provides speed-up between 41% and 92% while increment size is varied between 5% and 100%.

不妥協(xié)

Serenity

Enhancing Coverage and Expressive Power of Spatial Data Warehousing Modeling: The SDWM Approachtiatives, by pinpointing their limitations. We complete our analytical contribution by means of a real-life application implemented via SDWM, which highlights the benefits deriving from applying SDWM in contrast with traditional SDW modeling methodologies.

Nefarious

Sprint Planning Optimization in Agile Data Warehouse Designerted into a multi-knapsack problem with constraints, given a linear programming formulation, and solved using the IBM ILOG CPLEX Optimizer. Finally, the proposed approach is validated through effectiveness and efficiency tests.

報(bào)復(fù)

Using OCL for Automatically Producing Multidimensional Models and ETL Processesdel for the ETL workflow and a set of Query/View/Transformation(QVT) mapping rules from the conceptual level to the logical level and then to the physical one. At the end, we describe the implemented prototype architecture.

glowing

ARM

Neolithic

0302-9743 rnational Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on data warehouse design methodologies,

PAGAN