Exploring Forensic Data with Self-Organizing Maps

Semantic visualization with hyperbolic self-organizing maps: a novel approach for exploring structure in large data sets

Green Product Consumers Segmentation Using Self-Organizing Maps in Iran

This study aims to segment the market based on demographical, psychological, and behavioral variables, and seeks to investigate their relationship with green consumer behavior. In this research, self-organizing maps are used to segment and to determine the features of green consumer behavior. This was a survey type of research study in which eight variables were selected from the demographical,...

Landforms identification using neural network-self organizing map and SRTM data

During an 11 days mission in February 2000 the Shuttle Radar Topography Mission (SRTM) collected data over 80% of the Earth's land surface, for all areas between 60 degrees N and 56 degrees S latitude. Since SRTM data became available, many studies utilized them for application in topography and morphometric landscape analysis. Exploiting SRTM data for recognition and extraction of topographic ...

Visual Correlation in the Context of Post-mortem Analysis

One of the biggest challenges in the field of digital forensics lies in the ability to bring all potential evidence into a chronological correlation, and to draw appropriate conclusions to allow plausible and reproducible chains of activity. The ever-growing size of storage devices results in a considerable amount of information to process. Analysing forensic data, as a general rule, is a time-...

Geo-Temporal Visual Analysis of Customer Feedback Data Based on Self-Organizing Sentiment Maps

The success of a company is often dependent on the quality of their Customer Relationship Management (CRM). Knowledge about customer’s concerns and needs can be a huge advantage over competitors but is hard to gain. Large amounts of textual feedback from customers via surveys or emails has to be manually processed, condensed, and lead to decision makers. As this process is quite expensive and e...