The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kaedah untuk menemui undang-undang disemak daripada kedua-dua pendekatan statistik dan pendekatan kecerdasan buatan dengan lebih penekanan diberikan pada yang kedua. Dimensi yang dibincangkan ialah semakan kebergantungan berubah-ubah, pengumpulan data pasif atau aktif, penemuan undang-undang tunggal atau berbilang, gelagat statik (keseimbangan) atau dinamik (transien), penemuan undang-undang kuantitatif (numerik) atau kualitatif atau struktur, dan penggunaan pengetahuan umum domain. Beberapa sistem penemuan perwakilan juga dibincangkan secara ringkas bersama dengan kaedah yang digunakan dalam dimensi di atas.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Salinan
Hiroshi MOTODA, Takashi WASHIO, "Discovery of Laws" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 1, pp. 44-51, January 2000, doi: .
Abstract: Methods to discover laws are reviewed from among both statistical approach and artificial intelligence approach with more emphasis placed on the latter. Dimensions discussed are variable dependency checking, passive or active data gathering, single or multiple laws discovery, static (equilibrium) or dynamic (transient) behavior, quantitative (numeric) or qualitative or structural law discovery, and use of domain-general knowledge. Some of the representative discovery systems are also briefly discussed in conjunction with the methods used in the above dimensions.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_1_44/_p
Salinan
@ARTICLE{e83-d_1_44,
author={Hiroshi MOTODA, Takashi WASHIO, },
journal={IEICE TRANSACTIONS on Information},
title={Discovery of Laws},
year={2000},
volume={E83-D},
number={1},
pages={44-51},
abstract={Methods to discover laws are reviewed from among both statistical approach and artificial intelligence approach with more emphasis placed on the latter. Dimensions discussed are variable dependency checking, passive or active data gathering, single or multiple laws discovery, static (equilibrium) or dynamic (transient) behavior, quantitative (numeric) or qualitative or structural law discovery, and use of domain-general knowledge. Some of the representative discovery systems are also briefly discussed in conjunction with the methods used in the above dimensions.},
keywords={},
doi={},
ISSN={},
month={January},}
Salinan
TY - JOUR
TI - Discovery of Laws
T2 - IEICE TRANSACTIONS on Information
SP - 44
EP - 51
AU - Hiroshi MOTODA
AU - Takashi WASHIO
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2000
AB - Methods to discover laws are reviewed from among both statistical approach and artificial intelligence approach with more emphasis placed on the latter. Dimensions discussed are variable dependency checking, passive or active data gathering, single or multiple laws discovery, static (equilibrium) or dynamic (transient) behavior, quantitative (numeric) or qualitative or structural law discovery, and use of domain-general knowledge. Some of the representative discovery systems are also briefly discussed in conjunction with the methods used in the above dimensions.
ER -