Book — 1 online resource (xi, 109 pages) : illustrations. Digital: text file; PDF.
Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data
Frequent Item-set Border Approximation by Dualization
Dynamic Materialization for Building Personalized Smart Cubes
Opening up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS.
This volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.