Title :
Enhancing database information retrieval by exploiting uncertainty measuring and multiple-valued decision diagrams
Author :
Hakeem, N.A. ; Popel, D.V.
Author_Institution :
Dept. of Comput. Sci., Wollongong Univ., NSW, Australia
Abstract :
Summary form only given. A database management system is an essential component of data warehousing and knowledge discovery. We utilize graph structures and information theory methods in order to: (i) simplify database modeling, (ii) implement enhanced online data retrieval functions, and (iii) achieve faster data transmission in e-commerce applications. In particular, we apply information measures to the process of querying online databases, and use multiple-valued decision diagrams as a tool to represent interactive database systems in order to optimize the time needed to respond to online queries of Internet customers.
Keywords :
Internet; database management systems; decision diagrams; electronic commerce; graph theory; interactive systems; multivalued logic; query processing; Internet customers; data warehousing; database information retrieval enhancement; database management system; decision making; e-commerce application; graph structures; information theory; interactive database systems; knowledge discovery; multiple-valued decision diagrams; multiple-valued logic; online data retrieval function; online databases; online query; optimization; uncertainty measuring exploitation; Artificial intelligence; Business; Computer science; Data communication; Database systems; Information retrieval; Information theory; Measurement uncertainty; Particle measurements; Warehousing;
Conference_Titel :
Computer Systems and Applications, 2003. Book of Abstracts. ACS/IEEE International Conference on
Conference_Location :
Tunis, Tunisia
Print_ISBN :
0-7803-7983-7
DOI :
10.1109/AICCSA.2003.1227533
