Titlebook: Web and Big Data; APWeb-WAIM 2018 Inte Leong Hou U,Haoran Xie Conference proceedings 2018 Springer Nature Switzerland AG 2018 artificial in

Stress

Measuring the Spatio-Temporal Similarity Between UsersIn this paper, we define co-occurrence patterns based on the time similarity and the location similarity. Then, we propose the spatio-temporal similarity by utilizing the most similar co-occurrence patterns. Finally, we verify the spatio-temporal similarity is effective by applying it to time-aware POI recommendation.

CHART

groggy

An Image Processing Method via OpenCL for Identification of Pulmonary Noduless in 3D shapes. Extensive experimental results have shown that image processing can be accelerated significantly on GPU. In addition, the experiments on 500 patients indicate that our proposed method improved the performance by . and achieved . sensitivity rate for segmentation.

Lumbar-Spine

事先無(wú)準(zhǔn)備

Conference proceedings 2018ssions. The papers originating from five workshops present cutting-edge ideas, ?results, experiences, techniques, and tools from all aspects of web data ?management with the focus on mobile web data analytics; knowledge graph management and analysis; data management and mining on MOOCs; Big data analytics for healthcare; data science.

POWER

Hybrid Decision Based Chinese News Headline Classificationg, Chinese short text classification has great impact on public opinion analysis and sentiment mining. Among social media texts, news headline classification has substantial influence on both academia and Internet economy. The issues such as semantic sparsity caused by the limited length of texts, a

integrated

Hybrid Decision Based Chinese News Headline Classificationg, Chinese short text classification has great impact on public opinion analysis and sentiment mining. Among social media texts, news headline classification has substantial influence on both academia and Internet economy. The issues such as semantic sparsity caused by the limited length of texts, a

EWE

A Self-representation Model for Robust Clustering of Categorical Sequencespairwise similarity between sequences. In this paper, a self-representation model is proposed as a representation of categorical sequences. Based on the model, we transform the robust clustering to a subspace clustering problem. Furthermore, an efficient algorithm for robust clustering of categorica

鞏固

受人支配

Diversified Spatial Keyword Query on Topic Coverageually are relevant to the query but not diversified each other. Motivated by this, we study the problem of diversified spatial keyword query on topic coverage, which returns . relevant objects close to the query, and they together can cover a certain number of topics for the purpose of diversificati