Abstract
Knowledge discovery is an emerging field where we combine techniques from algorithmics, artificial intelligence, mathematics and statistics to deal with the theoretical and practical issues of extracting knowledge, i.e., new concepts or concept relationships hidden in volumes of raw data. Knowledge discovery offers the capacity to automate complex search and data analysis tasks.
Data mining is the main phase in the knowledge discovery process. It consists in extracting nuggets of knowledge, i.e., pertinent patterns, pattern correlations, estimation or rules, hidden in bodies of data. The extracted nuggets of knowledge will be used in the verification of hypothesis or the prediction and explanation of knowledge.
In this paper, we present a new survey on Knowledge Discovery and Data Mining (KDD).