Abstract Number of connected devices is steadily increasing and these devices continuously
generate data streams. Real-time processing of data streams is arousing interest despite …

In this paper we review studies of the growth of the Internet and technologies that are useful
for information search and retrieval on the Web. We present data on the Internet from several …

This comprehensive encyclopedia, with over 250 entries in an AZ format, provides easy
access to relevant information for those seeking entry into any aspect within the broad field …

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 …

Finding useful patterns in large datasets has attracted considerable interest recently, and
one of the most widely studied problems in this area is the identification of clusters, or …

This paper introduces the problem of combining multiple partitionings of a set of objects into
a single consolidated clustering without accessing the features or algorithms that …

Clustering is the division of data into groups of similar objects. In clustering, some details are
disregarded in exchange for data simplification. Clustering can be viewed as a data …

Business intelligence is a broad category of applications and technologies for gathering,
providing access to, and analyzing data for the purpose of helping enterprise users make …

Data clustering is an important technique for exploratory data analysis, and has been
studied for several years. It has been shown to be useful in many practical domains such as …

In this paper, we identify two issues involved in developing an automated feature subset
selection algorithm for unlabeled data: the need for finding the number of clusters in …