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Gentle-Sketch: a high-performance and compact invertible sketch for top-K estimation [PDF]
Scientific ReportsTop-k estimation has been a significant research focus in network data stream processing, owing to its broad range of applications. However, the rapid detection of top-k frequent flows in massive network traffic poses considerable challenges, primarily ...
Yao Xin +5 more
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Efficient processing of top-k frequent spatial keyword queries [PDF]
Scientific Reports, 2022 The rapid popularization of high-speed mobile communication technology and the continuous development of mobile network devices have given spatial textual big data (STBD) new dimensions due to their ability to record geographical objects from multiple ...
Tao Xu +5 more
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Design of Branch Definition Algorithm for Top-k Inverse Queries for Image Processing
Applied Bionics and Biomechanics, 2022 Images are the main way for human beings to obtain and exchange information, and they play a crucial role in the process of human understanding and exploration of the world. Top-k inverse queries are widely used in real life.
Haixia Zhang, Qingxiu Peng
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Top-k sentiment analysis over spatio-temporal data [PDF]
PeerJ Computer ScienceIn recent years, social media has become much more popular to use to express people’s feelings in different forms. Social media such as X (i.e., Twitter) provides a huge amount of data to be analyzed by using sentiment analysis tools to examine the ...
Abdulaziz Almaslukh +5 more
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Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model [PDF]
EntropyWith advancements in computing technology and the rapid progress of data science, machine learning has been widely applied in various fields, showing great potential, especially in digital healthcare.
Yiqing Yang +4 more
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Transfer learning from rating prediction to Top-k recommendation. [PDF]
PLoS ONERecommender system has made great strides in two major research fields, rating prediction and Top-k recommendation. In essence, rating prediction is a regression task, which aims to predict users scores on other items, while Top-k is a classification ...
Fan Ye +3 more
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Enhancing SLAM algorithm with Top-K optimization and semantic descriptors [PDF]
Scientific ReportsTo address the computational challenges faced by edge devices using deep learning to process LiDAR point cloud data, this paper proposes a SLAM algorithm incorporating Top-K optimization to generate semantic descriptors and global semantic map for laser ...
Yang Jiang, Yao Wu, Bin Zhao
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Top-k Densest Subgraphs Search in Temporal Graphs [PDF]
Jisuanji kexue, 2021 The dense subgraph search problem is one of the most important graph analysis problems.It is widely used in many fields,such as the social user correlation analysis in social networks,the community discovery in the Web,etc.However,the current research ...
MU Cong-cong, WANG Yi-shu, YUAN Ye, QIAO Bai-you, MA Yu-liang
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Dr. Top-k: Delegate-Centric Top-k on GPUs
CoRR, 2021 Recent top-$k$ computation efforts explore the possibility of revising various sorting algorithms to answer top-$k$ queries on GPUs. These endeavors, unfortunately, perform significantly more work than needed. This paper introduces Dr. Top-k, a Delegate-centric top-$k$ system on GPUs that can reduce the top-$k$ workloads significantly. Particularly, it
Anil Gaihre +7 more
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IEEE Access, 2023 Finding periodic-frequent patterns in temporal databases is a prominent data mining problem with bountiful applications. It involves discovering all patterns in a database that satisfy the user-specified minimum support ( $min{\_{}}sup$ ) and maximum ...
Palla Likhitha +4 more
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