The dominant non-local color pair set is constructed by taking advantage of a linear bounding volume hierarchy while the local color pair set is produced by removing duplicate instances of local color pairs.
However, with oversampling, classifiers are prone to overfitting, due to duplicate instances.
Hence, to eliminate data redundancy from a data mining perspective, as a final step in the creation of the datasets, we detect and remove duplicate instances in the data.
Considering the stage of postprocessed optimization several algorithms have been proposed to remove duplicated instances.
For both solutions, it can be noticed that a kind of flyweight pattern is reproduced from duplicated instances.
It also reduces the risk of inconsistencies due to duplicate VM instances running simultaneously in both the source and destination DCs.
More broadly, data filtering, enrichment and transformation are needed to improve the quality of the data ahead of analytics or modeling phase and remove or appropriately deal with noise, outliers, missing values, duplicate data instances, etc.
In addition to institution entities, co-authorship patterns were also used to detect authors who moved between affiliations, further reducing duplicate author instances.
For instance, duplicate submissions can quickly be identified, location information for each complaint is more accurate than ever before, and the person who submitted the request can also see how many other people complained, what has been done about it and how long it will take to get a final resolution.
Within the butterflies, for instance, duplicate copies of opsin genes have been found both within and between families [ 5], and our previous work suggested the possible utility of one of the opsins for phylogenetic purposes[ 6].
For instance, duplicate transcription factors are specifically retained in plant and animal genomes and both positive selection and transcriptional divergence appear to have played a role in their diversification.
