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It does not require multiple database scans and do not generate trivial clusters during the process.
All of these subspace clustering algorithms discussed so far require multiple database scans.
The former utilizes a candidate generation-and-test approach, which causes the performance degradation since this method makes a large number of candidates and requires multiple database scans.
These base clusters are then merged based on the number of the intersecting points to find the maximal subspace cluster approximations, but this algorithm requires multiple database scans.
Most of these algorithms require multiple database scans and generate a large number of redundant subspace clusters, either implicitly or explicitly, during the clustering process.
Multiple database scans (O |D B|2)) are required for determining the occupancy of each and every data point while merging these candidate clusters where, |D B| is the size of the dataset.
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From Table 1, it can be observed that both MaxFIA [9] and SWA [10] are primary data hiding techniques offering multiple advantages over others in terms of simplicity, required number of database scans etc.
SPADE discovers all frequent sequences in only three database scans.
It provides multiple database failover, replicas and configuration failover policies.
A common motivation is for load-balancing the database workload across multiple database manager instances [26],[26].
He was trying to sell them on the idea of a high-powered analysis platform that could scan multiple databases simultaneously— a tool that government officials and corporations could use to tackle complex problems.
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multiple database searches
multiple database analyses
multiple database checks
multiple database analysis
multiple phase scans
multiple image scans
multiple database contexts
multiple database entries
multiple sound scans
multiple database sources
multiple database lookups
multiple database crashes
multiple database relations
multiple database configurations
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