Titlebook: Web Information Systems Engineering – WISE 2017; 18th International C Athman Bouguettaya,Yunjun Gao,Qing Li Conference proceedings 2017 Spr

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A Network Based Stratification Approach for?Summarizing Relevant Comment Tweets of?News Articlesbe exploited by news media sources to obtain user reactions centered around different news articles. A comprehensive summary of the user reactions with respect to a news article can be crucial due to various reasons like: (i) obtaining insights about the diverse opinions of the readers with respect

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consolidate

Dynamic Relationship Building: Exploitation Versus Exploration on a Social Networke formalize this question using the dynamic network building problem. Two strategies stand out to solve this problem: The first directs the individual to exploit their social proximity by linking to nodes that are close-by, while the second tries its best to explore distant regions of the network. W

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Social Personalized Ranking Embedding for?Next POI Recommendationhelp users explore their surrounding living environment and improve the quality of life. Recently, some researchers proposed next POI recommendation, which not only exploiting the users personal interests but also considers the sequential information of users check-ins. There are some next POI recom

Prognosis

Assessment of Prediction Techniques: The?Impact of Human Uncertaintyns, e.g. for comparative analysis and finding a competition winner with best prediction performance. In real life, human beings meet their decisions with considerable uncertainty. Its assessment and resulting implications for the statistically evident evaluation of predictive models are in the main

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Incremental Structural Clustering for Dynamic Networkstant approach for this task, which has attracted much attention in recent years. The . algorithm can not only use to identify cohesive structures, but it is also able to detect outliers and hubs in a static network. Most real-life networks, however, frequently evolve over time. Unfortunately, the .

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Palliation

Spatial Information Recognition in Web Documents Using a Semi-supervised Machine Learning Methodications such as building semantic maps and indoor robotic navigation. In this paper, we present a novel methodology to identify spatial information in web documents using semi-supervised trained machine learning classifiers. The semi-supervised models trained with the half amount of data available