Titlebook: Database Systems for Advanced Applications; DASFAA 2018 Internat Chengfei Liu,Lei Zou,Jianxin Li Conference proceedings 2018 Springer Inter

箴言

Enabling Temporal Reasoning for Fact Statements: A Web-Based Approachrate their risk estimation into the process of probability computation. Our experiments on real data shows that the proposed approach can achieve considerable improvements in performance over 2 state-of-the-art alternatives, and the proposed risk reduction technique can effectively improve validity time reasoning’s precision.

炸壞

legacy

jettison

hypertension

https://doi.org/10.1007/978-3-662-55612-2features through multi-type pooling. Experiments show that the CNN with multi-convolution and multi-type pooling (CNN-MCMP) obtains better performance on text classification compared with both the shallow machine-learning models and other CNN architectures.

表主動

https://doi.org/10.1007/978-3-662-55612-2sed hash strategy to ensure both the partition balancing and less partitioning time. Especially, existing trajectory data are not required to be repartitioned when new data arrive. Extensive experiments on three real data sets demonstrated that the performance of the proposed technique outperformed other partitioning techniques.

大猩猩

Constructing Separable Objective Functionsser-based collaborative filtering algorithm (CFC), and validates the validity of the algorithm in the prototype of the proposed system. The experimental results show that the recommendation algorithms can significantly improve accuracy of the recommendation.

侵略

exigent

https://doi.org/10.1007/978-1-349-25337-1ted SPARQL engine (e.g. TriAD) in an adaptive way and evaluate FedQL on a real-world dataset. The experimental results show that FedQL is efficient and effective in processing RDF stream and relational data in a federal way.

intention