Recent work has revealed the existence of a class of small non-coding RNA species, known
as microRNAs (miRNAs), which have critical functions across various biological processes …

Data mining and knowledge discovery in databases have been attracting a significant
amount of research, industry, and media attention of late. What is all the excitement about …

Introduction to Data Mining Page 1 CHAPTER 14 ■ ■ ■ 369 Introduction to Data Mining In
this chapter, we’ll explore the incredibly powerful tools included with SQL Server Analysis …

We propose a novel approach for solving the perceptual grouping problem in vision. Rather
than focusing on local features and their consistencies in the image data, our approach aims …

During the past decade there has been an explosion in computation and information
technology. With it have come vast amounts of data in a variety of fields such as medicine …

Pattern recognition is a fast growing area with applications in a widely diverse number of
fields such as communications engineering, bioinformatics, data mining, content-based …

Clustering is the unsupervised classification of patterns (observations, data items, or feature
vectors) into groups (clusters). The clustering problem has been addressed in many contexts …

The primary goal of pattern recognition is supervised or unsupervised classification. Among
the various frameworks in which pattern recognition has been traditionally formulated, the …

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 …

This paper addresses the problem of segmenting an image into regions. We define a
predicate for measuring the evidence for a boundary between two regions using a graph …