Name
Abstract | ||
|---|---|---|
Computers store and exploit knowledge, at least that is one of the aims of Artificial Intelligence and Information Systems
research fields. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to
extract useful information from stored data. Scientific and engineering disciplines are developing daily. This progress is
strongly connected to complex techniques and methods. However, it is surprising to observe that the majority of data tables
(Information Systems) considered have binary attributes, and therefore discrete attributes values, and of course, the methods
and techniques used are binary based. This paper presents an approach for handling data tables with multiple valued continuous
attributes by considering an unusual algebra. The proposed algebra does not handle raw data, it handles declarative descriptions
of the data.
|
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-75867-9_13 | EUROCAST |
Keywords | Field | DocType |
information systems,proposed algebra,artificial intelligence,continuous attribute,binary attribute,discrete attributes value,data table,unusual algebra,information systems research field,raw data,complex technique,information system,artificial intelligent | Information system,Information systems research,Computer science,Raw data,Theoretical computer science,Exploit,Artificial intelligence,Strongly connected component,Machine learning,Binary number | Conference |
Volume | ISSN | ISBN |
4739 | 0302-9743 | 3-540-75866-6 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Margaret Miró-julià | 1 | 17 | 6.44 |