Recent developments in techniques for modeling, digitizing and visualizing 3D shapes has
led to an explosion in the number of available 3D models on the Internet and in domain …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

We present a novel approach to the automatic acquisition of taxonomies or concept
hierarchies from a text corpus. The approach is based on Formal Concept Analysis (FCA), a …

The notion of graph which is most useful in computer science is that of a directed graph or
just a graph. A graph is a combinatorial structure consisting of a finite nonempty set of …

Detecting changes by comparing data snapshots is an important requirement for difference
queries, active databases, and version and configuration management. In this paper we …

We present an external-memory algorithm for computing a minimum-cost edit script between
two rooted, ordered, labeled trees. The I/O, RAM, and CPU costs of our algorithm are …

The aim of this book is to introduce the reader to some of the best techniques for data mining
in bioinformatics in the hope that the reader will build on them to make new discoveries on …

Our goal is to enhance multidimensional database systems with advanced mining primitives.
Current Online Analytical Processing (OLAP) products provide a minimal set of basic …

Many activities in business process management, such as process retrieval, process mining,
and process integration, need to determine the similarity or the distance between two …

Comparative analysis of metabolic pathways in different genomes can give insights into the
understanding of evolutionary and organizational relationships among species. This type of …