Databases Reference
In-Depth Information
It is important that the function Tb makes it possible to use a simple
test of inequality instead of a rather complex computation. For example we
can use inequality b<Tb ! p,α,s ( a ) instead of the condition
a + b
( a + b )!
i !( a + b
i )! p i (1
p ) a + b−i
α
a
s
i = a
! p,α,s of lower critical implication, see [12]. An other form of
the table of critical frequencies for implicational quantifier is defined in [2].
Note that if we apply a corresponding data mining procedure then the
computation of the function Tb ! p,α,s
for quantifier
usually requires much less effort than
the evaluation of all conditions a + b
i = a
( a + b )!
i !( a + b−i )! p i (1
p ) a + b−i
s .It
depends on the cardinality of the set of relevant questions to be automatically
generated and verified, for more details see namely [12].
Letusremarkthatitcanbe Tb ( a )=
α
a
. A trivial example gives the
T
T
quantifier
defined such that
( a,b ) = 1 for each couple
a,b
.Then
it is Tb T ( a )=
for each a .
The partial table of maximal b and table of maximal b are called tables of
critical frequencies . Further tables of critical frequencies for Σ -double impli-
cational quantifiers and for Σ -equivalence quantifiers are defined in [8].
3 Classical Definability and TCF
3.1 Association Rules and Observational Calculi
Monadic observational predicate calculi (MOPC for short) are defined and
studied in [2] as a special case of observational calculi. MOPC can be under-
stood as a modification of classical predicate calculus such that only finite
models (i.e. data structures in which the formulas are interpreted) are admit-
ted and more quantifiers than and are used. These new quantifiers are
called generalized quantifiers . The 4ft quantifiers are special case of generalized
quantifiers.
Classical monadic predicate calculus (CMOPC for short) is a MOPC with
only classical quantifiers. In other words it is a classical predicate calculus with
finite models. The formulas (
x ) P 1 ( x )and(
x )(
y )(( x
= y )
P 1 ( x )
∧¬
P 2 ( y ))
are examples of formulas of CMOPC.
If we add the 4ft-quantifiers to CMOPC we get MOPC the formulas of
which correspond to association rules. Formulas (
p,Base x )( P 1 ( x ) ,P 2 ( x )and
(
P 4 ( x )) are examples of such association
rules. Values of these formulas can be defined in Tarski style see [2]. We sup-
pose that the formulas are evaluated in
p,Base x )( P 1 ( x )
P 3 ( x ) ,P 2 ( x )
- data matrices (i.e. finite data
structures), see example in Fig. 1 where predicates P 1 ,...,P n are interpreted
by columns - functions f 1 ,...,f n respectively.
{
0,1
}
 
Search WWH ::




Custom Search