论文信息 - Data-mining behavioural data from the web

Data-mining behavioural data from the web

In the online world today, web pages have the opportunity to save the attributes of their visitors' software and hardware environment and also some of their behavioural aspects. This data might contain valuable information about them. This paper presents research, where all the available data from the visitors of an online e-learning environment was saved and various data-mining techniques were performed on it to reveal hidden rules. As a result, intelligence and life satisfaction traits of the visitors can be predicted based on their behaviour in the online environment. This information can be used to profile the visitor and targeted advertisements can be sent to them.

Zoltán Balogh | Z. Balogh

[1] Philip S. Yu,et al. Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.

[2] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .

[3] Erik Cambria,et al. Common Sense Knowledge Based Personality Recognition from Text , 2013, MICAI.

[4] Ramakrishnan Srikant,et al. Fast algorithms for mining association rules , 1998, VLDB 1998.

[5] Gillian Stevens,et al. Can Personality Type be Predicted by Social Media Network Structures , 2013 .

[6] T. Graepel,et al. Private traits and attributes are predictable from digital records of human behavior , 2013, Proceedings of the National Academy of Sciences.