Titlebook: Database and Expert Systems Applications; 29th International C Sven Hartmann,Hui Ma,Roland R. Wagner Conference proceedings 2018 Springer N

比賽用背帶

BFASTDC: A Bitwise Algorithm for Mining Denial Constraintse dataset. This paper presents BFASTDC, a bitwise version of FASTDC that uses logical operations to form the auxiliary data structures from which DCs are mined. Our experimental study shows that BFASTDC can be more than one order of magnitude faster than FASTDC.

Adornment

假設(shè)

0302-9743 Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018..The 35 revised full papers presented together with 40 short papers were carefully reviewed and selected from 160 submissions. The papers of the first volume discuss a range of topics including: Big data analytics

笨拙的我

Derogate

forbid

BOUNCER: Privacy-Aware Query Processing over Federations of RDF Datasetsof the entities in an RDF dataset and their privacy regulations. Furthermore, BOUNCER implements query decomposition and optimization techniques able to identify query plans over RDF datasets that not only contain the relevant entities to answer a query, but that are also regulated by policies that

accessory

cacophony

客觀

Efficient Aggregation Query Processing for Large-Scale Multidimensional Data by Combining RDB and KVdivided into several subsets called grids, and the aggregated values for each grid are precomputed. This technique improves query processing performance by reducing the amount of scanned data. We evaluated the efficiency of the proposed method by comparing its performance with current state-of-the-a

苦笑

Learning Interpretable Entity Representation in Linked Dataper proposes RWRDoc, an RWR (random walk with restart)-based representation learning method which learns representations of entities by weighted combinations of minimal representations of whole reachable entities w.r.t. RWR. Comprehensive experiments on diverse applications (such as ad-hoc entity se