| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0106314 |
| utime |
20240111140605.2 |
| mtime |
20050527235959.9 |
| title
(primary) (eng) |
Information analysis of census data by using statistical models |
| specification |
| page_count |
7 s. |
| media_type |
CD-ROM |
|
| serial |
| title
|
Proceedings of the International Conference on Statistics - Investment in the Future |
| page_num |
1-7 |
| publisher |
| place |
Prague |
| name |
Czech Statistical Office |
| year |
2004 |
|
| editor |
|
|
| title
(cze) |
Informační analýza dat ze sčítání lidu pomocí statistických modelů |
| keyword |
statistical databases |
| keyword |
information analysis |
| keyword |
statistical models |
| author
(primary) |
| ARLID |
cav_un_auth*0101091 |
| name1 |
Grim |
| name2 |
Jiří |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0021091 |
| name1 |
Hora |
| name2 |
J. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101069 |
| name1 |
Boček |
| name2 |
Pavel |
| institution |
UTIA-B |
| full_dept |
Department of Stochastic Informatics |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101197 |
| name1 |
Somol |
| name2 |
Petr |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0021092 |
| name1 |
Pudil |
| name2 |
P. |
| country |
CZ |
|
| source |
|
| COSATI |
05A |
| COSATI |
05W |
| COSATI |
05R |
| cas_special |
| project |
| project_id |
507752 |
| country |
XE |
| agency |
EC |
| ARLID |
cav_un_auth*0200689 |
|
| project |
| project_id |
GA402/02/1271 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0008983 |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
We describe a new method of information oriented data analysis (data mining) based on a quick evaluation of a virtual list of several hundreds of thousands of sub-populations. The sub-populations can be ordered according to different criteria like conditional probability of a value, conditional entropy of a variable or mutual informativity of a pair of variables. In this way we can identify causal relations between values and variables in a qualitatively new way. |
| abstract
(cze) |
V práci je popsána kvalitativně nová možnost informační analýzy statistických databází (datamining) s využitím statistického modelu. Metoda je založena na rychlém vyhodnocení virtuálního seznamu několika set tisíc subpopulací a jejich uspořádání z hlediska zvoleného kriteria, jako je např. podmíněná pravděpodobnost nějaké vlastnosti, podmíněná entropie nebo Shannonovská informace dvojice proměnných. Uvedeným způsobem lze identifikovat např. kauzální vztahy nominálních proměnných |
| action |
| ARLID |
cav_un_auth*0129887 |
| name |
Statistics - Investment in the Future |
| place |
Prague |
| dates |
06.09.2004-07.09.2004 |
| country |
CZ |
|
| reportyear |
2005 |
| RIV |
AO |
| permalink |
http://hdl.handle.net/11104/0013496 |
| ID_orig |
UTIA-B 20040126 |
| arlyear |
2004 |
| mrcbU56 |
47 kB |
| mrcbU63 |
Proceedings of the International Conference on Statistics - Investment in the Future 1 7 Prague Czech Statistical Office 2004 |
| mrcbU67 |
Krovák J. 340 |
|