Titlebook: Web Technologies and Applications; 18th Asia-Pacific We Feifei Li,Kyuseok Shim,Guanfeng Liu Conference proceedings 2016 Springer Internatio

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Conference proceedings 2016bmissions...the focus of the conference was on following subjects:?...Spatio-temporal,Textual and Multimedia Data Management..Social Media Data Analysis..Modellingand Learning with Big Data..Streamingand Real-time Data Analysis..Recommendation System..Data Quality and Privacy..QueryOptimization and Scalable Data Processing. .

ARCH

Flexible and Adaptive Stream Join Algorithm model on distributed stream joins and supports arbitrary join predicates. It can handle data skew perfectly since it randomly routes tuples to cells with each steam corresponding to one side of the matrix. Designing of the partitioning scheme of the matrix is a determining factor to maximize system

消極詞匯

orthopedist

Albinism

Irrepressible

Flexible and Adaptive Stream Join Algorithm model on distributed stream joins and supports arbitrary join predicates. It can handle data skew perfectly since it randomly routes tuples to cells with each steam corresponding to one side of the matrix. Designing of the partitioning scheme of the matrix is a determining factor to maximize system

Feature

STENT

Facilities

A Workload-Driven Vertical Partitioning Approach Based on Streaming Frameworkement for large scale OLTP and OLAP applications. Horizontal and vertical database partitioning can improve the performance and manageability for shared-nothing systems which are popular in nowadays. However, the existing partitioning techniques can’t deal with dynamic information efficiently and ca

引導(dǎo)

A Target-Dependent Sentiment Analysis Method for Micro-blog Streamsdependent sentiment analysis methods can not get acceptable accuracy. Recently some new sentiment analysis methods using Recursive Neural Networks (RNN) are promissing but they are not target-dependent. In this paper we propose a target-dependent sentiment analysis method for micro-blog streams base