胶状 发表于 2025-3-26 21:11:45
http://reply.papertrans.cn/27/2636/263533/263533_31.pngCervical-Spine 发表于 2025-3-27 01:26:15
Semi-supervised Learning for Cyberbullying Detection in Social Networks,tudies on cyberbullying detection are mainly supervised learning approaches, assuming data is sufficiently pre-labelled. However this is impractical in the real-world situation where only a small number of labels are available in streaming data. In this paper, we propose a semi-supervised leaning apRODE 发表于 2025-3-27 08:26:20
http://reply.papertrans.cn/27/2636/263533/263533_33.pngIndurate 发表于 2025-3-27 09:30:12
Split Dictionaries for In-memory Column Stores in Mixed Workload Environments,orted dictionaries allow for more efficient query processing as comparisons can be performed directly on the compressed data whereas unsorted dictionaries are faster when inserting new values..In this work, we propose a new type of dictionary compression called Split Dictionaries. These organize theNICHE 发表于 2025-3-27 17:07:21
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XEdge: An Efficient Method for Returning Meaningful Clustered Results for XML Keyword Search, computing methodology, in order to make full use of the structural information of XML trees to extract features. In this method, we first propose the concept of Cluster Compactness Granularity (CCG) to partition the search results into different clusters, which enable users to precisely and quickly公社 发表于 2025-3-28 00:22:53
https://doi.org/10.1007/978-3-319-08608-8algorithms; big data; clustering; data management systems; data mining; data warehousing; database designCUB 发表于 2025-3-28 03:24:24
http://reply.papertrans.cn/27/2636/263533/263533_38.pngFLING 发表于 2025-3-28 06:46:51
Jun Pan,Billy Tak Ming Wong,Honghua Wangentity. Indexing techniques are used to efficiently extract a set of candidate records from the database that are similar to a query record, and that are then compared with the query record in more details. The sorted neighborhood indexing method, which sorts a database and compares records within aGlutinous 发表于 2025-3-28 12:46:40
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