Data Science and Engineering
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K-Connected Cores Computation in Large Dual Networks
Data Science and Engineering - Tập 3 Số 4 - Trang 293-306 - 2018
Computing $$k\text {-}core$$ s is a fundamental and important graph problem, which can be applied in many areas, such as community detection, network visualization, and network topology analysis. Due to the complex relationship between different entities, dual graph widely exists in the applications. A dual graph contains a physical graph and a conceptual graph, both of which have the same vertex ......
An Efficient Algorithm of Star Subgraph Queries on Urban Traffic Knowledge Graph
Data Science and Engineering - Tập 7 - Trang 383-401 - 2022
Knowledge graph has wide applications in the field of computer science. In the knowledge service environment, the information is large and explosive, and it is difficult to find knowledge of common phenomena. The urban traffic knowledge graph is a knowledge system that formally describes urban traffic concepts, entities and their interrelationships. It has great application potential in applicatio......
Link Prediction on Complex Networks: An Experimental Survey
Data Science and Engineering - - 2022
Complex networks have been used widely to model a large number of relationships. The outbreak of COVID-19 has had a huge impact on various complex networks in the real world, for example global trade networks, air transport networks, and even social networks, known as racial equality issues caused by the spread of the epidemic. Link prediction plays an important role in complex network analysis in......
Learning with Small Data: Subgraph Counting Queries
Data Science and Engineering - Tập 8 - Trang 292-305 - 2023
Deep Learning (DL) has been widely used in many applications, and its success is achieved with large training data. A key issue is how to provide a DL solution when there is no large training data to learn initially. In this paper, we explore a meta-learning approach for a specific problem, subgraph isomorphism counting, which is a fundamental problem in graph analysis to count the number of a giv......
On the Meaningfulness of “Big Data Quality” (Invited Paper)
Data Science and Engineering - Tập 1 Số 1 - Trang 6-20 - 2016
Big Data Management: What to Keep from the Past to Face Future Challenges?
Data Science and Engineering - Tập 2 - Trang 328-345 - 2017
The emergence of new hardware architectures, and the continuous production of data open new challenges for data management. It is no longer pertinent to reason with respect to a predefined set of resources (i.e., computing, storage and main memory). Instead, it is necessary to design data processing algorithms and processes considering unlimited resources via the “pay-as-you-go” model. According t......
Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis
Data Science and Engineering - Tập 2 - Trang 178-186 - 2017
With the rapid growth of social media, sentiment analysis has received growing attention from both academic and industrial fields. One line of researches for sentiment analysis is to feed bag-of-words (BOW) text representation into classifiers. Usually, raw BOW requires weighting schemes to obtain better performance, where important words are given more weights while unimportant ones are given les......
A Multi-level Mesh Mutual Attention Model for Visual Question Answering
Data Science and Engineering - Tập 7 - Trang 339-353 - 2022
Visual question answering is a complex multimodal task involving images and text, with broad application prospects in human–computer interaction and medical assistance. Therefore, how to deal with the feature interaction and multimodal feature fusion between the critical regions in the image and the keywords in the question is an important issue. To this end, we propose a neural network based on t......
Efficient and Secure Storage for Outsourced Data: A Survey
Data Science and Engineering - Tập 1 - Trang 178-188 - 2016
With the growing popularity of cloud computing, more and more enterprises and individuals tend to store their sensitive data on the cloud in order to reduce the cost of data management. However, new security and privacy challenges arise when the data stored in the cloud due to the loss of data control by the data owner.
This paper focuses on the techniques of verifiable data storage and secure da......
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