Titlebook: Beyond Databases, Architectures, and Structures; 10th International C Stanislaw Kozielski,Dariusz Mrozek,Daniel Kostrzew Conference proceed

Clinical-Trial

书目名称Beyond Databases, Architectures, and Structures影响因子(影响力)




书目名称Beyond Databases, Architectures, and Structures影响因子(影响力)学科排名




书目名称Beyond Databases, Architectures, and Structures网络公开度




书目名称Beyond Databases, Architectures, and Structures网络公开度学科排名




书目名称Beyond Databases, Architectures, and Structures被引频次




书目名称Beyond Databases, Architectures, and Structures被引频次学科排名




书目名称Beyond Databases, Architectures, and Structures年度引用




书目名称Beyond Databases, Architectures, and Structures年度引用学科排名




书目名称Beyond Databases, Architectures, and Structures读者反馈




书目名称Beyond Databases, Architectures, and Structures读者反馈学科排名

增长

,The exIWO Metaheuristic – A Recapitulation of the Research on the Join Ordering Problem,zed by both the hybrid strategy of the search space exploration and three variants of selection of individuals as candidates for next population. The nub of the problem was recalled along with details of adaptation of the exIWO including representation of a single solution and transformation of an i

encomiast

FLAGR

Granular Indices for HQL Analytic Queries,of records. The usual technique to reduce their run-time is the materialization of partial aggregates of base data. In previous papers we have proposed the concept of metagranules, i.e. partially ordered aggregations of the fact table. When a query is posed, the actual aggregation level will be dete

jarring

TEM

outskirts

Liability

Isometric

多余

Data Quality Issues Concerning Statistical Data Gathering Supported by Big Data Technology,cal data gathering on job offers was used. This example allowed comparing data quality issues in two different methods of data gathering: traditional statistical surveys vs. Big Data technology. The case study shows that there are lots of barriers related to data quality when using Big Data technolo