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

charter

書目名稱Database and Expert Systems Applications影響因子(影響力)




書目名稱Database and Expert Systems Applications影響因子(影響力)學(xué)科排名




書目名稱Database and Expert Systems Applications網(wǎng)絡(luò)公開度




書目名稱Database and Expert Systems Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database and Expert Systems Applications被引頻次




書目名稱Database and Expert Systems Applications被引頻次學(xué)科排名




書目名稱Database and Expert Systems Applications年度引用




書目名稱Database and Expert Systems Applications年度引用學(xué)科排名




書目名稱Database and Expert Systems Applications讀者反饋




書目名稱Database and Expert Systems Applications讀者反饋學(xué)科排名

精致

Continuum Analysis of Biological Systemsterference variables into state space models. In addition, to realize the trend shift model efficiently, we propose an effective trend detection method, TP-TBSM (two-phase TBSM), by extending TBSM (trend-based segmentation method). The experimental results validate the proposed model and method.

Foreshadow

預(yù)測(cè)

https://doi.org/10.1007/978-3-540-74298-2ata centers..We implemented BuckTop and compared its performance for processing top-k queries over encrypted data with that of the popular threshold algorithm (TA) over original (plaintext) data. The results show the effectiveness of BuckTop for outsourcing sensitive data in the cloud and answering top-k queries.

Abutment

ScaleSCAN: Scalable Density-Based Graph Clusterings as those of SCAN with much shorter computation time. Extensive experiments on both real-world and synthetic graphs demonstrate that the performance superiority of ScaleSCAN over the state-of-the-art methods.

存在主義

Answering Top-k Queries over Outsourced Sensitive Data in the Cloudata centers..We implemented BuckTop and compared its performance for processing top-k queries over encrypted data with that of the popular threshold algorithm (TA) over original (plaintext) data. The results show the effectiveness of BuckTop for outsourcing sensitive data in the cloud and answering top-k queries.

存在主義

Stochastic Modelling and Applied Probabilityee different sequence related approaches: process mining, dependency graph and sequential pattern mining. Then, we evaluate the impact of the recommender system. The result shows that all can improve the performance of students while the approach based on dependency graph contributes most.

創(chuàng)新

GLEAN

https://doi.org/10.1007/978-3-540-74298-2real-life setting. Our approach combines the trust, determined by the reputation of the provider, and the QoS. We present different algorithms for processing such selection queries and evaluate them through a set of experiments.

ETHER