Users of the web have their own areas of interest. Given the tremendous growth of the web, it is very difficult to redirect the users to their page of interest. Web usage mining techniques can be applied to study the users navigational behaviours based on their previous visit data. These user navigational patterns can be extracted and used for web personalization or web site reorganization reco...

Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. One of them is to use frequent pattern discovery methods in Web log data. Discovering hidden information from Web log data is called Web usage mining. The aim of discovering frequent patterns in Web log data is to obtain information about the navigational behavior of the users. This...

OBJECTIVES This study sought to investigate user interactions with an electronic health records (EHR) system by uncovering hidden navigational patterns in the EHR usage data automatically recorded as clinicians navigated through the system's software user interface (UI) to perform different clinical tasks. DESIGN A homegrown EHR was adapted to allow real-time capture of comprehensive UI inter...

Navigational control of avian migration is understood, largely from the study of terrestrial birds, to depend on either genetically or culturally inherited information. By tracking the individual migrations of Atlantic Puffins, Fratercula arctica, in successive years using geolocators, we describe migratory behaviour in a pelagic seabird that is apparently incompatible with this view. Puffins d...

The immense capacity of web usage data which survives on web servers contains potentially precious information about the performance of website visitors. Pattern Mining involves applying data mining methods to large web data repositories to extract usage patterns. Due to the emerging reputation of the World Wide Web, many websites classically experience thousands of visitors every day. Examinat...

In this paper we present a novel technique to capture Web users’ behaviour based on their interest-oriented actions. In our approach we utilise the vector space model Random Indexing to identify the latent factors or hidden relationships among Web users’ navigational behaviour. Random Indexing is an incremental vector space technique that allows for continuous Web usage mining. User requests ar...

Mental representation of the future is a fundamental component of goal-directed behavior. Computational and animal models highlight prospective spatial coding in the hippocampus, mediated by interactions with the prefrontal cortex, as a putative mechanism for simulating future events. Using whole-brain high-resolution functional magnetic resonance imaging and multi-voxel pattern classification,...