Purpose The data economy, emerging from the current hyper-technological landscape, is a
global digital ecosystem where data is gathered, organized and exchanged to create …

Networks are one of the most common ways to represent biological systems as complex sets
of binary interactions or relations between different bioentities. In this article, we discuss the …

This chapter will provide a detailed survey of frequent pattern mining algorithms. A wide
variety of algorithms will be covered starting from Apriori. Many algorithms such as Eclat …

Automatic text classification is the task of organizing documents into pre-determined classes,
generally using machine learning algorithms. Generally speaking, it is one of the most …

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 …

Dimensionality reduction techniques can be categorized mainly into feature extraction and
feature selection. In the feature extraction approach, features are projected into a new space …

We present V-measure, an external entropybased cluster evaluation measure. V-measure
provides an elegant solution to many problems that affect previously defined cluster …

In this paper, we introduce and compare between two novel approaches, supervised and
unsupervised, for identifying the keywords to be used in extractive summarization of text …

One of the main themes supporting text mining is text representation, ie, looking for the
appropriate terms to transfer the documents into numerical vectors. Recently, many efforts …

Disclosed information exploration system and method embodiments operate on a document
set to determine a docu ment cluster hierarchy. An exclusionary phrase index is deter mined …