Title :
Effective rule induction using incremental approach for a dynamic information system
Author :
Tripathy, B.K. ; Kumaran, K. ; Sumaithri, M. ; Swathi, T.
Author_Institution :
SCSE, VIT Univ., Vellore, India
Abstract :
In the present day scenario, there are large volumes of data available in several fields, which we can make use of effectively, for decision making. This can be achieved by inducing rules through various rule induction approaches that are available. In this paper, we proposed a rule induction algorithm, ELEM, which is an enhanced version of one of the existing rule induction algorithms, LEM1 (3). This is made effective by reducing the database scans required to generate the rules. Also, it provides an incremental approach which makes use of ELEM and deals with any kind of data changes in a dynamic information system.
Keywords :
decision making; learning (artificial intelligence); very large databases; ELEM; database scans; decision making; dynamic information system; effective rule induction; incremental approach; Computer aided software engineering; Data mining; Databases; Heuristic algorithms; Information systems; Set theory; Temperature distribution; ELEM; Global cove; Incremental approach; Rule Induction;
Conference_Titel :
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4244-8678-6
Electronic_ISBN :
978-1-4244-8679-3
DOI :
10.1109/ICECTECH.2011.5941761
