Benchmarking Attribute Selection Techniques for Data Mining

Data engineering is generally considered to be a central issue in the development of data mining applications. The succe

436 75 265KB

English Pages 15 Year 2003

Report DMCA / Copyright

DOWNLOAD PDF FILE

Recommend Papers

Applying Data Mining Techniques to Credit Scoring

‼SAS' advanced analytical techniques have a proven ability to quickly and accurately forecast the risk of credit lo

607 28 281KB Read more

Visual Data Mining: Techniques and Tools for Data Visualization and Mining [1st ed.] 9780471149996, 0-471-14999-3

Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use th

507 54 20MB Read more

Bayesian Networks for Data Mining

A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. When used

523 96 362KB Read more

Data mining: concepts and techniques [2 ed.] 9781558609013, 1558609016

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and

548 113 249KB Read more

Data Mining: Concepts and Techniques [2 ed.] 9781558609013, 1558609016

This book explores the concepts and techniques of data mining, a promising and ourishing frontier in database systems an

528 113 4MB Read more

Data Mining: Concepts and Techniques [2 ed.] 1558609016, 9781558609013

Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real bu

707 39 7MB Read more

Data Mining Techniques for the Life Sciences [1 ed.] 9781603272407, 1603272402

Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the mi

369 19 5MB Read more

Data Mining Techniques for the Life Sciences [2 ed.] 1493935704, 9781493935703

This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Sec

513 61 11MB Read more

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R 9781118879368, 1118879368

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Rpresents an applied approach to data mini

1,196 84 25MB Read more

Data Mining Techniques for the Life Sciences (Methods in Molecular Biology, 1415) 1493935704, 9781493935703

This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Sec

121 116 Read more

Benchmarking Attribute Selection Techniques for Data Mining

Author / Uploaded
Hall M.A.
Holmes J.

0 0 0
Like this paper and download? You can publish your own PDF file online for free in a few minutes! Sign Up

File loading please wait...

Citation preview

!

! " # $ Æ %$ $ $ & $ % ' $ ( ' $ ' $ % ' ' ' ) $ $ * ! $ ( + $ $ ,

$ $( + - .

( $ / %$

$ $ $ $ !

$ " $ $ ! ( $ $ $ " $ ! 0 / 0 $ $ ! ' $ $ " 0 $ 1 ' $2 $ 3' 3 4 5 $ 0 $ '6 7 ! - (

%$ " $ -

$ 0 8 - 9(: 9: $ $ ; 0 $ % ' $ $ 0 4 6 $ 4 6 $ !

$ $ " ' $ $½ $ " $ $ ! 0 - % $ $ $ $ $ ) " $ ( ½

$ $ $ ! $ $/ $ $ $ $ $ > ' $ $ ( $ $ . $ * $ ( $ $ ! $ $ ) 4 $ $ $ 6 $ $ $

$ $ ! $ $ ! $ $ $ ! $ $ $ ! * $ "

! 4 6 $ ' - ;1℄ $ " . $ 3" , ? $ $ $

4 6 @ 4

¾

6@

4 6¾ 4 6

¾

46

¾

4 6¾ 4 6

4,6

4?6

! $ 2 0 $ $ $ ;,A℄ 3 $ $ $ B

.C

@ @ @

4 6 4 6 4 6 4 6 4 6 D 4 6 4 6

416

$ ( - > . ;7℄

+ $ $ $ E + ;F℄ $ E ;G℄ + $ $ ! $ $ $ ! ( $ ! $ $ + ( 0 $ ' 4+ >6 0 ;G℄ + > 2 $ $ 0 $ $ 0 $ ( $ $ $ $$ H " 0 $0 $ ! $ $ ( ' $ ' ! 4 6 ( $ $ 3 $

! ( $ 0

. $ " # $ 8 0 $ $ $ $ ! 0 $

> 4 0$ > 6 ;I℄ ( $ $ $ % $

! 43" 76 $ $

@ D 4 ,6

476

9: $ 0 0 0 ! $ 0 / ! $ + $ 0 $ . 3" 7 4 6 $ $ > ( - " > . ;7℄ 4 3" 1 - $ $ 6 $

! "#

$ $ ;, J℄ ! $ $ $ 0 * $ $

8 0$ $ & K ;J℄

B

4I6 $ $ $ $ $ $

$ $ * $ $ $ @ ,

$ ( - > . ;7℄ $

% "#

% $ $ $ $ 0

(

$ $ 8 (0 0

0

( $ ; , ( 3'

!$ ?B + $ )

)

(

"%#& $!$! $ "" !! "#" $&!' $!& "!"! '%'! '! '&"$ $# '$$ $ %

Æ0

* "&!& $%& $$'$ "&! '& "% ! $% $ ! $"' ' & '$& '&! $'' $! $'#

Æ Æ Æ

Æ Æ Æ

+,-

.

-

/+.

"!!' $ $"% "% !$! "%!! $ $&' "#"' '%"% '#"" '&&" $ "' $%$ $"'

"!$% $$ $""% "$ $! "%$ $!&$ $%% " '% & ''" '&# $%"$ $'' $"'

"!$ $$% "#' "#"! '& "! $#' '" ' $"'' '&& '!%& '!! "##! '$% "# %

"!"& $ & $"'% "& '#$ "% ! $%#' $!% $" ' " '!# '&!! $"#! $!# $'

"&!& $ $ "$ " & '%# "%"! $% $& $%'' ' '$ '&!% $"%' $ ""

Æ Æ Æ Æ

Æ Æ Æ

Æ Æ Æ

Æ Æ Æ

Æ Æ Æ

Æ Æ

1

¾ 233 4 (3

Æ Æ Æ

Æ Æ

Æ Æ Æ

Æ Æ Æ

> ,B 3' !$ 1B

$ )

/+. - * +,) .

/ ,

/

,

!# ' ! ' '

!& ' " $ '

& & " " !% &&

!$ ? $ ) ! $ ( $ 4 $ Æ6 4 $ 6 4 ?6 ! $ ( ( ,L

0 > !$ ? $ $ ) ' > $ ( ! " 4.C6 ' ! 4 6 ) ' ( + > $ $ H (

!$ 1 $ % $ ! $ (

$ $ 9: 9: > $ $ $ 17 > !$ 7B + $ 7 I

&%

(

" '$ ' $"'& '!'& " & '$ "&$ ' & ''"' $# '%% '!$' " " "$%$ $%&&

Æ0

* " % $&% $"& '!" "%$& '' "& '$"% '$!% $# '!#" '!'% " $ "$' $&$

Æ

Æ

-

"# $%!! "#" '! ' "% % '"" "& '" '$%! $ '!& '!' " "& "$&' $!"&

"! % $& "#% '!' "%"$ ' "&! $#! ''#% '"'! '%&! '& " $' "$ % $&

Æ Æ Æ Æ

Æ Æ

Æ

+,-

/+.

""% $ "&! '!%$ "%'" ' ! "&! $#& '"%! '"%! ' $! ''' " $" "$'! $&"

"#&% $ "$ '!% "%'& '! "" '' ' %! '$!! ' ! '!&! " " "$ $&&

Æ

Æ

.

Æ Æ

"&" $ $$$ '% "#' "!& $!'% $ % & $$ '& '# "!"% " '$$

Æ

Æ Æ

1

!$ IB

$ 7 I

+, &% - /+. * .

/ ,

/

,

% ' % % &

# ! ' %

' $ ! %$

!$ 7 $ 7 I !$ I 9: 9: ! ) ! $ 7 I + > 7 IK . ?? 7 I/

7 IK > >

7 IK 4 6 $ !

!

+ > 7 I $ $$ $ $ 4 6 . $ $

7 I $ $ ) 0 $ $ $ $ !

7 I > 4 6 $ $ $ ! K $ #( 0 $ $ !$ FB - $ 7 I $

&%

(

% & !&$& %$ &%& # & %#% "' &!& !'$ " '& !$ $$ &"'% $%'

Æ0

* ! $& & "&& %'!& $ % "' &$$ &' #&' $#$ &$&% $

Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ

- !'& "$ & %" $ & #!" $$" "&% $ &!% # $# %## %'%

Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ

!&& !% '& %& "" $ "% &$ $ %#" '"&& & $! $$

Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ

+,!#& ! ' '& " $% " !' ' %&$ &% $ $#" & '! # &

Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ

/+. !"$ &" !" '# "' !&$ "#'% & ! &&! $& '"% &$ ! #"

Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ

. !# &$ ##& !#% #&& #"$ $$$& $ $ %$$ $$ '' " !$"& &

Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ Æ

1

!$ $ # $ &'(# ')*& +'' , # $' +)-(# +*

.*' * '$

.$ ' -& # ' + &&+

! ! ! " ! " " !

" ! !" ! " ! ! !

! ! " ! ! " ! ! ! ! ! !

! " ! ! "! !" " ! " ! ! ! !"

! ! ! ! ""! ! ! " "" !" !

! ! " ! ! " "

! " " ! " ! ! " ! ! ! ! "

!$ JB $ )

- * /+. +, .

/ ,

/

,

& " % $

& !% !% !#

$ & ! ! &"

!$ G $ $ $ ) !$ J 9: 9: !$ G 4 ' 6 0 $ $ $ IAL H $ > !$ J $

> # 7GL $ !

# * IAL $

!$ ,A $ $

7 I !$ ,, 9: 9: % $ ' $ 7 I ) > $ 7?L + >

I?L % ) > 7 I 4!$ ,,6 + > $ !$ ,, $ - *( $

!$ ,AB $ 7 I > $ # $' &'(# .*' ,

.$ ')*& # $ +'' +*

+)-(# * '$ ' -& &&+

" ! ! ! ! ! ! ! " ! ! ! " !" ! ! " ! ! !" ! ! " !" ! ! ! " " " " ! ! !

! "! ! ! ! ! "

! !" " " ! "! !" "

! ! !" " " !! " !! !" "

! " !" " ! ! " ! " " ! "

!$ ,,B $ 7 I

- /+. * . +,-

/ ,

/

,

& ! $ $ !

!% !# $ '

' & % !&

. $ " 4 ! 6 ( $ $ ! $ !$ ,? 9: 9: $ ) > % ' $ H

$$ ' 0 0 $ ¿ 5 6 7

Æ

!$ ,?B $ )

- * +,. /+.

/ ,

/

,

%# &" ! # !

%' % !$ " ' &

' ' % !" %! '#

!$ ,1B $ 7 I

* - +,. /+.

/ ,

/

,

!& " % !&

& & &# ! # &

! % & %& '#

!$ ,1 $ $ 7 I . $ $0 " #

7 I ! $ $ $ . $ 7 I 9 : ! ) $ $ " % + > $ $ 7 I ! 0$ " $

! $ ' $ " $ ! $ $ $(

. $ $ $ " $ $ $ 4 $6 % 0 $ $ " > ' ) $

4 $ $ 6 $ $ 7 I ! $

$ $ 8 > + > > $ $ + > $

!

;,℄ % ! C & 0 . I7