In this paper, we focus on a method of analysis of data in a digital communication channel, using the Digital Profiling technique. We believe, in fact, that the massive use of cloud computing and pervasive technology compels us to improve the results of investigative analysis, in case of cyber-crime, reducing the times of job and maximizing the outcome. The method suggested highlights relations...

In this paper we demonstrate how a gamification approach increases the attractiveness of an assessment exercise in the context of expertise profiling. We present an online game, in two difficulty modes, where users have to guess the authors of publications. We analyze the collected data along different dimensions and identify four types of gaming personalities based on behavioral patterns. Furt...

In this paper, the author studies the application of network user behavior data mining under the background of big data. In this research work we focused mainly on the precise mobility profile building thorough trajectory and behavioral pattern mining using the GSM CGI Cell-ID, where all the concerned issues like precise spatial extraction, stay points detection and mobility profiling are addre...

aim and background: the role of behavioral inhibition and activation systems as predisposing factors in readiness for emotional and behavioral problems in adolescents has been increasingly studied in recent years. the purpose of this study was to investigate the role of these two systems in predicting the development of psychopathology in adolescents. methods and materials: the study population...

With the advancesin Web-based oriented technologies, experts are able to capture user activities on the Web. Users’ Web browsing behavior is used for user identification. Identifying users during their activities is extremely important in electronic commerce (e-Commerce)as it has the potential to prevent illegal transactions or activities particularly for users who enter the system through the ...

Nervous and neuroendocrine systems mediate environmental conditions to control a variety of life history traits. Our goal was to provide mechanistic insights as to how neurosecretory signals mediate division of labor in the honey bee (Apis mellifera). Worker division of labor is based on a process of behavioral maturation by individual bees, which involves performing in-hive tasks early in adul...

The success of conception in buffalo is greatly dependent on precise estrus detection and time of artificial insemination (AI). Various visual, behavioral, biochemical and gyneco-clinical parameters have been tracked closely and a cost-effective combinatorial model has been developed to detect estrus in buffaloes. Pheromones play pivotal roles in reproduction and behavior of mammals. Urine, an ...

Implementing effective training and education programs is of critical importance for sport management coaching academic programs. This exploratory ­­­­­research examined the implementation effectiveness DISC behavioral profiling in classrooms at university level. Over four years (eight semesters), pre- post-tests were collected from multiple samples students (N = 216) two universities United St...

People Analytics is a powerful tool with immense promise for enhancing organizational insights. However, this Note argues that employers’ unfettered use of opaque predictive algorithms, which are trained on behavioral data to profile workers and guide employment outcomes, represents significant threat individual autonomy. Part II explores the emergence as continuation merger historical approach...

Driver profiling has a major impact on traffic safety, fuel consumption and gas emission. LSTM CNN based neural network models were developed to classify assess bus driver behavior characterized by deceleration, engine speed pedaling, corner turn lane change attempts. Deceleration, test scenarios performed concrete paved track while changing tests conducted commercial asphalt highway. Despite t...