The need for mining structured data has increased in the past few years. One of the best
studied data structures in computer science and discrete mathematics are graphs. It can …

Despite the rapid development, the field of data mining and knowledge discovery (DMKD) is
still vaguely defined and lack of integrated descriptions. This situation causes difficulties in …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Data mining is the discovery of interesting, unexpected or valuable structures in large
datasets. As such, it has two rather different aspects. One of these concerns large …

Database Management Systems provides comprehensive and up-to-date coverage of the
fundamentals of database systems. Coherent explanations and practical examples have …

The intent of this book is to describe some recent data mining tools that have proven
effective in dealing with data sets which often involve unc-tain description or other …

It is not unusual in the information technology (IT) literature to see different perspectives
expressed on the same technology, particularly when it is of critical concern as an …

This paper proposes a novel approach named AGM to efficiently mine the association rules
among the frequently appearing sub-structures in a given graph data set. A graph …

CARDWATCH, a database mining system used for credit card fraud detection, is presented.
The system is based on a neural network learning module, provides an interface to a variety …

Data mining is a new discipline lying at the interface of statistics, database technology,
pattern recognition, machine learning, and other areas. It is concerned with the secondary …