It distinguishes between redundant data and duplicated data.
Duplicated data is present when an attribute has two or more identical values.
To prevent duplicated data, additional responses from the same hospital were not included.
Locality-based approaches (stateful or stateless routing schemes) work on the location of duplicated data and perform optimization [14].
The duplicated data packets are not included that were generated by loss of acknowledgments at the MAC layer.
Removing duplicated data As a post could include more than one hashtag, it could be extracted for multiple times.
Therefore, the large number of data as well as duplicated data in heavy traffic density leads to increased latency and lost data.
To avoid the transfer of duplicated data, it is supposed that a sink receives a response to its query only if the inline-node owns a new data.
Step 2 Consist of preprocessing the data as following: Removing duplicated data As a post could include more than one hashtag, it could be extracted for multiple times.
However, for the purposes of our experiment, which compares data fusion strategies using the same duplicated data, we do not expect this strategy to influence our recommendations for the preferred matching method.
Similarly, cluster deduplication and redundancy elimination algorithms that remove duplicated data for efficient data processing and useful knowledge discovery are primarily post-data collection methods [12, 13, 14, 15].
