Exploring cider website descriptions using a novel text mining approach

Designing a System for Trend Analysis of Users in Website Surfing in Iran Using Data Mining and Text Mining Algorithms

Background and Aim: As of the entrance of web surfing to the lifestyle of a vast majority of people in the society and the need for a more accurate social and cultural policy making in the field, authors intended to analyze the behavior of the society users in viewing different websites so as to help politicians and practitioners. Methods: Design science research method is used in this research...

Exploring Health Website Users by Web Mining

Exploring text mining from MEDLINE

We present a text mining application that exploits the MeSH heading subheading combinations present in MEDLINE records. The process begins with a user specified pair of subheadings. Co-occurring concepts qualified by these subheadings are regarded as being conceptually related and thus extracted. A parallel process using SemRep, a linguistic tool, also extracts conceptually related concept pair...

Connectionist Approach for Website Visitors Behaviors Mining

In this paper, we propose a new version of the topological maps algorithm, which has been used to cluster web site visitors. These are characterized by partially redundant variables over time. In this version, we only consider the input vectors neurons that participate in the selection of the winning neuron in the map. In order to identify these neurons, we use a binary function. Subsequently, ...

A Novel Approach for Mining Chosen Keywords Using Text Summarization Extraction System

The objective of text summarization is to decrease the measure of the content while preserving its important information and overall meaning. The ever-increasing user generated digital data available through the Internet has become an important source of information for individuals, organizations and government agencies. And yet, for users to completely find and use that data remains a complex ...