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Titlebook: Web and Big Data; First International Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin

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31#
發(fā)表于 2025-3-27 00:10:31 | 只看該作者
Element-Oriented Method of Assessing Landscape of Sightseeing Spots by Using Social Images In this paper, we propose an element-oriented method of landscape assessment that analyzes images available on image-sharing web sites. The experimental results demonstrate that our method is superior to the existing ones based on low-level visual features and user behavior analysis.
32#
發(fā)表于 2025-3-27 04:56:24 | 只看該作者
Element-Oriented Method of Assessing Landscape of Sightseeing Spots by Using Social Images In this paper, we propose an element-oriented method of landscape assessment that analyzes images available on image-sharing web sites. The experimental results demonstrate that our method is superior to the existing ones based on low-level visual features and user behavior analysis.
33#
發(fā)表于 2025-3-27 07:50:46 | 只看該作者
34#
發(fā)表于 2025-3-27 10:42:36 | 只看該作者
Sifting Truths from Multiple Low-Quality Data Sourcesvalues from them. It is a critical part of an effective data integration solution. In order to solve this problem, we first propose a model to specify the tuple quality. Then we present a framework to infer the tuple quality based on the concept of .. In particular, we propose an algorithm underlyin
35#
發(fā)表于 2025-3-27 17:21:36 | 只看該作者
36#
發(fā)表于 2025-3-27 19:16:00 | 只看該作者
37#
發(fā)表于 2025-3-28 01:22:48 | 只看該作者
Time-Constrained Graph Pattern Matching in a Large Temporal Graphh is contrary to the fact that graphs in real life are intrinsically dynamic. Therefore, in this paper, we propose a new problem of Time-Constrained Graph Pattern Matching (TCGPM) in a large temporal graph. Different from traditional work, our work deals with temporal graphs rather than a series of
38#
發(fā)表于 2025-3-28 05:48:44 | 只看該作者
Time-Constrained Graph Pattern Matching in a Large Temporal Graphh is contrary to the fact that graphs in real life are intrinsically dynamic. Therefore, in this paper, we propose a new problem of Time-Constrained Graph Pattern Matching (TCGPM) in a large temporal graph. Different from traditional work, our work deals with temporal graphs rather than a series of
39#
發(fā)表于 2025-3-28 10:11:10 | 只看該作者
40#
發(fā)表于 2025-3-28 12:51:01 | 只看該作者
Efficient Compression on Real World Directed Graphstion of graph computation very challenging. Reducing graph size to fit in memory, for example by using the technique of lossless compression, is crucial in cutting the cost of large scale graph computation. Unfortunately, literature work on graph compression still suffers from issues including low c
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