Knowledge discovery in databases: application to chromatography

Knowledge Discovery in Databases Application to Chromatography

This paper reviews emerging computer techniques for discovering knowledge from data bases and their application to various sets of separation data The data sets include the separation of a diverse range of analytes using either liquid gas or ion chromatography The main conclusion is that the new techniques should help to close the gap between the rate at which chromatographic data is gathered a...

Ontologies Application to Knowledge Discovery Process in Databases

Nowadays one of the most important and challenging problems in Knowledge Discovery Process in Databases (KDD) or Data Mining is the definition of the prior knowledge; this can be originated either from the process or the domain. This contextual information may help select the appropriate information, features or techniques, decrease the space of hypothesis, represent the output in a more compre...

Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts

This presentation has two goals. The first goal is to compare ML and Knowledge Discovery in Data (KDD, also often called Data Mining, DM) in order to insist on how much they actually differ In order to make my ideas somewhat easier to understand, and as an illustration, I will include a description of several research topics that I find relevant to KDD and to KDD only. The second goal is to sho...

Knowledge Discovery in Databases

Knowledge Discovery in Databases

Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of traditional tools and techniques to discover knowledge is ruthless and does not give the right information at the right time. Knowledge discovery is defined as ``the non-trivial extraction of implicit, unknown, and potentially...