Book Review: Knowledge Discovery in Bibliographic Databases

Book Review: Knowledge Discovery in Multiple Databases

In this digital world, we are inundated with terrabytes of data every day. The databases are being stored in distributed environment as companies become global and have offices all over the world. This lead to an interesting research problem in the field of data mining termed multi-database mining. Most solutions in this regard specify merging the databases into a single dataset. But this kind ...

CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases

This article presents a description and case study of CiteSpace II, a Java application which supports visual exploration with knowledge discovery in bibliographic databases. Highly cited and pivotal documents, areas of specialization within a knowledge domain, and emergence of research topics are visually mapped through a progressive knowledge domain visualization approach to detecting and visu...

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...

Knowledge Discovery in Databases

Knowledge Discovery in Databases (KDD) is a relatively new field of research. Interest generated by KDD has been huge. International companies are looking to KDD techniques to maximise profit and enhance decision support. The aim of this paper is to provide an overview and understanding of the ideas, techniques and applications found within this field.