Understanding the dynamics by which urban areas attract visitors is significant for urban development in cities. In addition, identifying services that relate to highly attractive districts is useful to make policies regarding the placement of such places. Thus, we present a framework for classifying districts in cities by their attractiveness to visitors, and relating Points of Interests (POIs...

Data mining has become an essential component in various fields of human life including business, education, medical and scientific. Cluster analysis is an important data mining technique used to find data segmentation and pattern recognition. This paper proposes the application of Fuzzy Subtractive Clustering (FSC) technique as an approach to define Big Five Patterns (B5P) using psychometric t...

Cluster analysis plays an important role in the analysis of gene expression data since the early beginning of microarray studies and is routinely used to find groups of genes with common expression pattern. In order to make cluster analysis helpful for users, visualization of cluster solutions is of utmost importance. Here, we present the new R package gcExplorer for the interactive exploration...

There is an absence of research examining associations between food and beverage intake patterns and most research has centered on soft drinks, whereas research on overall beverage patterns is absent. Using data from the National Health and Nutrition Examination Survey 99-02 for adults aged 19 y and older, we independently examined beverage and food intake patterns, as well as their interrelati...

Pattern recognition receptors are crucial in initiating and shaping innate and adaptive immune responses and often belong to families of structurally and evolutionarily related proteins. The human C-type lectin-like receptors encoded in the DECTIN-1 cluster within the NK gene complex contain prominent receptors with pattern recognition function, such as DECTIN-1 and LOX-1. All members of this c...

Data aggregation in wireless sensor networks eliminates redundancy to improve bandwidth utilization and energy-efficiency of sensor nodes. This paper presents a secure energy-efficient data aggregation protocol called ESPDA (Energy-Efficient Secure Pattern based Data Aggregation). Unlike conventional data aggregation techniques, ESPDA prevents the redundant data transmission from sensor nodes t...

We study occurrences of patterns on clusters of size n in random fields on Z. We prove that for a given pattern, there is a constant a > 0 such that the probability that this pattern occurs at most an times on a cluster of size n is exponentially small. Moreover, for random fields obeying a certain Markov property, we show that the ratio between the numbers of occurrences of two distinct patter...

A comparative morphological study was performed on the otolith growth patterns of 11 species of the genus Merluccius. The otolith growth pattern, based on the radius of the ¢rst eight growth increments (GI) from the otolith core, was determined from transverse sections of sagitta otoliths.The structure and periodicity of the GI were identi¢ed based on previous knowledge. Two cluster analyses we...

Load profiling refers to a procedure which leads to the formulation of daily load curve clusters based on the similarity of the curves shapes. This paper focuses on the investigation of the consumption patterns of an existing high voltage industrial consumer. The profiling process involves stages like the normalization of the recorded load data, the utilization of pattern recognition algorithms...