TY - GEN
T1 - A model of RSDM implementation
AU - Fernández-Baizán, María C.
AU - Menasalvas Ruiz, Ernestina
AU - Wasilewska, Anita
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1998.
PY - 1998
Y1 - 1998
N2 - Today’s Data Base Management Systems do not provide functionality to extract potentially hidden knowledge in data. This problem gave rise in the 80’s to a new research area called Knowledge Discovery in Data Bases (KDD). In spite the great amount of research that has been done in the past 10 years, there is no uniform mathematical model to describe various techniques of KDD. The main goal of this paper is to describe such a model. The Model integrates in an uniform framework various Rough Sets Techniques with standard, non Rough Sets based techniques of KDD. The Model has been already partially implemented in RSDM (Rough Set Data Miner) and we plan to complete the implementation by integrating all the operations in the code of database management systems. Operations that are defined in the paper have successfully been implemented as part of RSDM.
AB - Today’s Data Base Management Systems do not provide functionality to extract potentially hidden knowledge in data. This problem gave rise in the 80’s to a new research area called Knowledge Discovery in Data Bases (KDD). In spite the great amount of research that has been done in the past 10 years, there is no uniform mathematical model to describe various techniques of KDD. The main goal of this paper is to describe such a model. The Model integrates in an uniform framework various Rough Sets Techniques with standard, non Rough Sets based techniques of KDD. The Model has been already partially implemented in RSDM (Rough Set Data Miner) and we plan to complete the implementation by integrating all the operations in the code of database management systems. Operations that are defined in the paper have successfully been implemented as part of RSDM.
UR - https://www.scopus.com/pages/publications/38049029986
U2 - 10.1007/3-540-69115-4_26
DO - 10.1007/3-540-69115-4_26
M3 - Conference contribution
AN - SCOPUS:38049029986
SN - 3540646558
SN - 9783540646556
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 186
EP - 193
BT - Rough Sets and Current Trends in Computing - 1st International Conference, RSCTC 1998, Proceedings
A2 - Polkowski, Lech
A2 - Skowron, Andrzej
PB - Springer Verlag
T2 - 1st International Conference on Rough Sets and Current Trends in Computing, RSCTC 1998
Y2 - 22 June 1998 through 26 June 1998
ER -