Results 31 to 40 of about 9,334,973 (302)
Missing values imputation using Fuzzy K-Top Matching Value
Journal of King Saud University: Computer and Information Sciences, 2023 Missing data occurs when variables or observations are missing. Researchers exclude or impute influenced variables and data. This study proposes Fuzzy K-Top Matching Value (FKTM) for missing value imputation.
Azza Ali +3 more
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Efficient Top-k Graph Similarity Search With GED Constraints
IEEE Access, 2022 It is essential to identify similarity between graphs for various tasks in data mining, machine learning and pattern recognition. Graph edit distance (GED) is the most popular graph similarity measure thanks to its flexibility and versatility.
Jongik Kim
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Top-k Average Utility Co-location Pattern Mining of Fuzzy Features [PDF]
Jisuanji kexue yu tansuo, 2022 The spatial co-location pattern refers to a subset of non-empty spatial features whose instances are frequently located together in a spatial neighborhood.
LI Jinhong, WANG Lizhen, ZHOU Lihua
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Distributed top-k monitoring [PDF]
Proceedings of the 2003 ACM SIGMOD international conference on on Management of data - SIGMOD '03, 2003 The querying and analysis of data streams has been a topic of much recent interest, motivated by applications from the fields of networking, web usage analysis, sensor instrumentation, telecommunications, and others. Many of these applications involve monitoring answers to continuous queries over data streams produced at physically distributed ...
Brian Babcock, Chris Olston
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Efficient and Secure Top-k Queries With Top Order-Preserving Encryption
IEEE Access, 2018 Top-k queries can retrieve the most relevant tuples from massive datasets and have wide implementations, such as PageRank, healthcare analytics, and decision making.
Hanyu Quan +3 more
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Real-time recommendation algorithms for crowdsourcing systems
Applied Computing and Informatics, 2017 Crowdsourcing has become a promising paradigm for solving tasks that are beyond the capabilities of machines alone via outsourcing tasks to online crowds of people.
Mejdl Safran, Dunren Che
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Top-k Distance Queries on Large Time-Evolving Graphs
IEEE Access, 2023 Fast extraction of top- $k$ distances from graph data is a primitive of paramount importance in the fields of data mining, network analytics and machine learning, where ranked distances are exploited for several purposes (e.g., link prediction or ...
Andrea D'ascenzo, Mattia D'emidio
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CoRR, 2019 We consider the sorted top-$k$ problem whose goal is to recover the top-$k$ items with the correct order out of $n$ items using pairwise comparisons. In many applications, multiple rounds of interaction can be costly. We restrict our attention to algorithms with a constant number of rounds $r$ and try to minimize the sample complexity, i.e.
Mark Braverman, Jieming Mao, Yuval Peres
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Top-k trending topics for different values of α.
, 2021 Top-k trending topics for different values of α.
Tanjim Taharat Aurpa (11250554) +2 more
core +1 more source
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 The objective of top-k planning is to determine a set of k different plans with lowest cost for a given planning task. In practice, such a set of best plans can be preferred to a single best plan generated by ordinary optimal planners, as it allows the user to choose between different alternatives and thus take into account preferences that may be ...
David Speck 0001 +2 more
openaire +2 more sources