• No results found

Privacy Preserving in Data Mining by Normalization

N/A
N/A
Protected

Academic year: 2020

Share "Privacy Preserving in Data Mining by Normalization"

Copied!
5
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1 is the sample data set used for experiment. Table 2 is the corresponding normalized values for the ‘Age’ attribute after applying min- max normalization
Fig 2: Step by Step Procedure
Fig 6: Snapshot for 3 clusters after Normalization.
Fig 5: Comparison Graph.

References

Related documents

On the stand, Feingold testified that in his professional opinion, Chrysotile asbestos, the type of asbestos found in the joint compound that was produced by Bondex and the

The objectives of this study were to carry out a primary screening for the phytochemicals and antibacterial activity of methanol extracts of Origanum majorana ,

This relationship was used to develop a methodology that related the number of channels to the oversampling ratio required to comply with a communication system ACI

Artists (not necessarily theatre professionals, although this is the majority) with an already existing professional practice who are seeking a new stage of

Platelet counts were low in children presenting with SMA (but only significantly so for the HIV-uninfected groups) than non-malaria controls, regardless of their HIV status (P

To identify additional genes that may play important roles in coat color regulation, Illumina sequencing technology was used to catalog global gene expression profiles in skin of

While advanced battery technology is growing very fast to support the rapidly-evolving technologies such as Smart Grid and Electric Vehicles (EV) with higher power and energy

tend to assume that the values of nuisance parameters provide strong support for a recent selective sweep, the limited number of summaries entails a considerable are known ( e.g .,