共 50 条
- [31] Finding frequent items in sliding windows over data streams using EBF [J]. SNPD 2007: EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, VOL 3, PROCEEDINGS, 2007, : 682 - +
- [32] Mining Swarm Patterns in Sliding Windows over Moving Object Data Streams [J]. 25TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2017), 2017,
- [33] Density and sliding window-based clustering over evolving data streams [J]. ICIC Express Letters, Part B: Applications, 2015, 6 (08): : 2275 - 2283
- [34] Approximate Range Emptiness in Constant Time for IoT Data Streams over Sliding Windows [J]. 2019 28TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND NETWORKS (ICCCN), 2019,
- [35] Concept Shift Detection for Frequent Itemsets from Sliding Windows over Data Streams [J]. DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, 2009, 5667 : 334 - 348
- [36] New sampling-based summary structures for sliding windows over data streams [J]. ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES, 2007, 2 : 1242 - +
- [38] Truly Perfect Samplers for Data Streams and Sliding Windows [J]. Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2022, : 29 - 40
- [39] Truly Perfect Samplers for Data Streams and Sliding Windows [J]. PROCEEDINGS OF THE 41ST ACM SIGMOD-SIGACT-SIGAI SYMPOSIUM ON PRINCIPLES OF DATABASE SYSTEMS (PODS '22), 2022, : 29 - 40
- [40] Mining frequent itemsets over data streams with multiple time-sensitive sliding windows [J]. ALPIT 2007: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON ADVANCED LANGUAGE PROCESSING AND WEB INFORMATION TECHNOLOGY, 2007, : 486 - +