Titlebook: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Grow; 14th International C Stanisław Koziel

agglomerate

https://doi.org/10.1007/978-1-4614-0266-4 row stores, column stores use lightweight compression methods and, generally, compression granularity is at entire column level. In this paper we outline and explore an alternative compression strategy for column stores that works at a different granularity and adapts itself to data, on-the-fly, us

receptors

Comparative Education in Europehese index structures, different approaches are presented by several authors, including horizontal vectorization with SIMD and efficient cache-line usage..In this work, we compare the adapted index structures Seg-Tree/Trie, FAST, VAST, and ART and evaluate the usage of SIMD within these. We extract

蛙鸣声

Cupping

Overview of ILSAs and Aspects of Data Reused the data to process might not fit into the GPU memory entirely and cause a memory overflow. Fortunately, this problem has many possible solutions, like splitting the data and processing each portion separately, or storing the data in the main memory and transferring it to the GPU on demand. This p

EVADE

Agnes Stancel-Piątak,Knut Schwippertn and interpretation in probabilistic databases require probabilistic models for data clustering and query processing. Thus, the associated probability measures are required to be heterogeneous as well as computable. This paper proposes a formal model of composite discrete measures in metric spaces

brassy

https://doi.org/10.1007/978-3-030-88178-8cessing, which helps to preserve data consistency. The configuration of storage space in database management system has significant influence on efficiency of transaction processing, which is crucial to workload processing in information system. The choice of block device and filesystem for local st

胶水

Joachim Kimmerle,Frank Fischer,Ulrike Cressal of a novel method for induction of action rules directly from a dataset. The proposed algorithm follows the so-called covering schema and employs a pruning procedure, thus being able to produce comprehensible rule sets. An experimental study shows that the proposed method is able to discover stro

Hirsutism

ALIAS

Joachim Kimmerle,Frank Fischer,Ulrike Cress the form widely regarded as interpretable by humans. We apply state-of-the-art credit scoring-oriented classification algorithms, such as logistic regression, gradient boosting decision trees and random forests, as components of the proposed algorithms of decision tree building. We use four real-wo

insidious