Titlebook: Database Systems for Advanced Applications; 22nd International C Selçuk Candan,Lei Chen,Wen Hua Conference proceedings 2017 Springer Intern

模范

Research Synthesis in Software Engineeringwhich can provide a good load balancing for query processing by using . to capture data distribution. Analysis of theoretical and experimental results on standard benchmark illustrate the efficacy of the proposed methods in a distributed environment.

Anticlimax

Can There Be Religion Without Gender?fective to incorporate the annotation data to learn better representation vectors. In this paper, we propose an order sensitive semi-supervised framework for network embedding. Specifically, we first propose an novel order sensitive network embedding method: StructuredNE to integrate node order info

手工艺品

Exaggerate

Catrien Notermans,Maya Turolla,Willy Jansen algorithm, we can obtain representation vectors incorporating both network topology and node property information. We extensively evaluate our framework through two data mining tasks on five datasets. Experimental results show the superior performance of PPNE.

Vertebra

A General Fine-Grained Truth Discovery Approach for Crowdsourced Data Aggregationthe correctness matrix to learn the patterns. Then PTD conducts the answer aggregation by incorporating captured patterns, producing a more accurate estimation. Therefore, our approach is compatible with all tasks and can better demonstrate the correlation among tasks and sources. Experimental resul

陈列

词汇表

Category-Level Transfer Learning from Knowledge Base to Microblog Stream for Accurate Event Detectio) Events are detected accurately on category-level word time series, due to richer semantics and less noise. (4) Experiment verifies the quality of category-level topics extracted from knowledge base, and the further study on the benchmark . validates the effectiveness of our proposed transfer learn

indoctrinate

AngleCut: A Ring-Based Hashing Scheme for Distributed Metadata Managementata cache mechanism is also adopted in AngleCut to improve the query efficiency. In general, our scheme preserves the metadata locality essentially as well as maintaining high load balancing between MDS’s. The theoretical proof and extensive experiments on trace data exhibit the superiority of Angle

allergen

An Efficient Bulk Loading Approach of Secondary Index in Distributed Log-Structured Data Storeswhich can provide a good load balancing for query processing by using . to capture data distribution. Analysis of theoretical and experimental results on standard benchmark illustrate the efficacy of the proposed methods in a distributed environment.

侵蚀

Semi-Supervised Network Embeddingfective to incorporate the annotation data to learn better representation vectors. In this paper, we propose an order sensitive semi-supervised framework for network embedding. Specifically, we first propose an novel order sensitive network embedding method: StructuredNE to integrate node order info