Système d'information stratégique et agriculture (serveur d'exploration)

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Exploratory attributes search for time-series data : An experimental system for agricultural application

Identifieur interne : 000227 ( PascalFrancis/Curation ); précédent : 000226; suivant : 000228

Exploratory attributes search for time-series data : An experimental system for agricultural application

Auteurs : K. Matsumoto [Japon]

Source :

RBID : Pascal:98-0533268

Descripteurs français

English descriptors

Abstract

This paper reports an experimental agricultural datamining system which purposes to find weather patterns influencing yield of rice. Necessary data for this system are separately maintained in various databases. We then show how this system integrate them into one database with an assistance of support databases. Next we discuss the attribute selection problem for the data in the integrated database. Our method first exploratory search for a candidate set of attributes. In this case, the support databases is used to avoid a searching space explosion. Once the candidate set is identified, we apply a greedy search in the set to find the most useful subset of attributes.
pA  
A01 01  1    @0 0302-9743
A05       @2 1510
A08 01  1  ENG  @1 Exploratory attributes search for time-series data : An experimental system for agricultural application
A09 01  1  ENG  @1 PKDD'98 : principles of data mining and knowledge discovery : Nantes, 23-26 September 1998
A11 01  1    @1 MATSUMOTO (K.)
A12 01  1    @1 ZYTKOW (Jan M.) @9 ed.
A12 02  1    @1 QUAFAFOU (Mohamed) @9 ed.
A14 01      @1 System Integration Tcchnology Center, TOSHIBA, 3-22 Katamachi @2 Fuchu, Tokyo, 183-8512 @3 JPN @Z 1 aut.
A20       @1 388-395
A21       @1 1998
A23 01      @0 ENG
A26 01      @0 3-540-65068-7
A43 01      @1 INIST @2 16343 @5 354000070123550440
A44       @0 0000 @1 © 1998 INIST-CNRS. All rights reserved.
A45       @0 8 ref.
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A60       @1 P @2 C
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A66 02      @0 USA
C01 01    ENG  @0 This paper reports an experimental agricultural datamining system which purposes to find weather patterns influencing yield of rice. Necessary data for this system are separately maintained in various databases. We then show how this system integrate them into one database with an assistance of support databases. Next we discuss the attribute selection problem for the data in the integrated database. Our method first exploratory search for a candidate set of attributes. In this case, the support databases is used to avoid a searching space explosion. Once the candidate set is identified, we apply a greedy search in the set to find the most useful subset of attributes.
C02 01  X    @0 001D02C02
C03 01  X  FRE  @0 Système intelligent @5 01
C03 01  X  ENG  @0 Intelligent system @5 01
C03 01  X  SPA  @0 Sistema inteligente @5 01
C03 02  X  FRE  @0 Système information @5 02
C03 02  X  ENG  @0 Information system @5 02
C03 02  X  SPA  @0 Sistema información @5 02
C03 03  X  FRE  @0 Architecture système @5 03
C03 03  X  ENG  @0 System architecture @5 03
C03 03  X  SPA  @0 Arquitectura sistema @5 03
C03 04  X  FRE  @0 Traitement information @5 04
C03 04  X  ENG  @0 Information processing @5 04
C03 04  X  SPA  @0 Procesamiento información @5 04
C03 05  X  FRE  @0 Algorithme glouton @5 05
C03 05  X  ENG  @0 Greedy algorithm @5 05
C03 05  X  SPA  @0 Algoritmo glotón @5 05
C03 06  X  FRE  @0 Agriculture @5 06
C03 06  X  ENG  @0 Agriculture @5 06
C03 06  X  GER  @0 Landwirtschaft @5 06
C03 06  X  SPA  @0 Agricultura @5 06
N21       @1 349
pR  
A30 01  1  ENG  @1 Principles of data mining and knowledge discovery. European symposium @2 2 @3 Nantes FRA @4 1998-09-23

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Pascal:98-0533268

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