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Basically there are are two Views regarding to DBMS.
(1)Regression based Views
(2) Interpolation based Views

Regression based Views:

Regression techniques are routinely and very successfully

used in many application domains to model the values of a

continuous dependent variable as a function of the values of

a set of independent or predictor variables. These models are

thus a natural fit in many environmental monitoring applications

that use sensor networks to monitor physical properties

such as temperature, humidity, light etc

Interpolation based Views:

We describe a second type of view in this section, the interpolation

view. In an interpolation view an interpolation function is used to estimate the missing values from known

values that bracket the missing value. The process is similar

to table lookup: given a table T of tuples of the form

(T, V ), and a set of T0 values with unknown V 0 values, we

can estimate the v0 2 V 0 value that corresponds to a particular

t0 2 T0 by looking up two pairs (t1, v1) and (t2, v2)

in T such that t1 _ t0 _ t2. We then use the interpolation

function to compute the value v0 from v1 and v2..
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