Titlebook: Databases Theory and Applications; 32nd Australasian Da Miao Qiao,Gottfried Vossen,Lei Li Conference proceedings 2021 Springer Nature Switz

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发现

Twitter Data Modelling and Provenance Support for Key-Value Pair Databases, ensures the reliability of data by providing details about the origin and historical paths of data. In recent years, the preponderance of big data and its applications are increasingly using Apache Cassandra due to its high availability and linear scalability. In this paper, we present a data prove

出汗

Analyzing Tweets to Understand Factors Affecting Opinion on Climate Change,e of a man-made climate change and its impacts on environment as well as society. The opinion of the masses is critical to dealing with various issues arising due to climate change, such as global warming. In this work, we study people’s opinion on climate change and analyze the data to identify the

圆柱

Optimal Placement of Taxis in a City Using Dominating Set Problem,rs. However, the pick-up demand in any area is not always matching with the supply or drop-off request in the same area. Urban planners and researchers are working hard to balance this demand and supply situation for taxi requests. The existing approaches have mainly focused on clustering of the spa

关心

Adaptive Fault Diagnosis for Data Replication Systems,departments. When services are disrupted, IT administrators must be able to find the faults and rectify them quickly. Due to the scale and complexity of the data replication environment, the fault diagnostic effort is both tedious and laborious. This paper proposes an approach to fault diagnosis of

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Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning,ing (GZSL) is to recognise both seen and unseen classes. Most GZSL methods typically learn to synthesise visual representations from semantic information on the unseen classes. However, these types of models are prone to overfitting the seen classes, resulting in distribution overlap between the gen

BYRE

红肿

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The Effect of Regional Economic Clusters on Housing Price,research, which limit their investigations to neighbourhoods within 1 km radius of the house, we expand the investigation beyond the local neighbourhood and to the whole metropolitan area, by introducing the connection to significant influential economic nodes, which we term .. By consolidating with

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