To address this issue, FP-Growth-based algorithms with tree data structures, incremental high utility pattern (IHUP) [2] and high utility patterns in incremental databases (HUPID) [14], were proposed.
In addition, the detection method also provides a solution for realizing the automation of cadastral database incremental updating.
To address this issue, taking parcels as an example, a new change detection method including event semantics is proposed and used in cadastral database incremental updating.
Chen et al. [15] also introduced the notion of verifiable database with incremental updates (Inc-VDB), i.e., the client can efficiently update the ciphertext with the previous one, rather than from scratch.
After that, when new transaction information is added to the original databases, the incremental approaches update the data structures, optimize them, and conduct mining processes.
In contrast to the previous static approaches where the whole mining processes have to be conducted whenever a target database is increased, incremental high utility pattern mining methods simply reflect new information to the current data structures for dealing with the dynamic database.
In order to improve real-time ability, Levy and Silberschatz [18] proposed an incremental recovery strategy in main-memory database.
Second is the use of incremental analysis, employed on the created database, to obtain a first estimation of discontinuity parameters.
We conducted a retrospective claims database analysis to evaluate incremental cardiovascular costs in diabetic versus non-diabetic patients hospitalized for a cardiovascular event.
As the sizes of many contemporary databases continue to grow rapidly, incremental clustering has emerged as an essential issue for conducting data analysis on contemporary databases.
