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MULTIDIMENSIONAL ADAPTIVE/PROGRESSIVE INDEX. In exploratory data analysis, multidimensional indexes must be created concerning four main objectives. (1) They�...
We present three novel incremental multidimensional indexing techniques that represent three sample points on a Pareto front for this multi-objective�...
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We present three novel incremental multidimensional indexing techniques that represent three sample points on a Pareto front for this multi-objective�...
Exploratory data analysis is used by data scientists to extract knowledge from new data. The analysis consists of an interactive trial and error process,�...
The Adaptive KD-Tree is a multidimensional adaptive indexing technique that follows the same principles as Adaptive. Indexing [5]: (1) It uses the query�...
Several approaches like database cracking and adaptive indexing have been adopted in data exploration scenarios. The basic idea of these is to incrementally�...
Mar 26, 2021ABSTRACT. Modern applications require managing large data in main mem- ory. Adaptive indexing allows for building an index incremen-.
Mar 26, 2021Adaptive indexing allows for building an index incremen- tally in response to queries, rather than upfront; in its default form, it treats each�...
Sep 21, 2024Multidimensional Adaptive/Progressive Indexing presents the same problem since it only groups the data if they have filters. Hence�...
In this paper, we introduce the Adaptive Incremental R-tree (AIR- tree): an inherently multidimensional adaptive hierarchical in-mem- ory index structure that�...