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To dig one level deeper into and include states as well, a ratio is created. In this research, we propose applying the apriori algorithm for data mining to determine the confidence value. Classification tasks, fake job posting prediction leaves a lot of challenges to face.
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The graph above shows that texas and california have a higher possibility of fake jobs than other states. An automated system to predict false job post opens a new window to face difficulties in the field of human resource management. Fake job posts create inconsistency for the job seeker to find their preferable jobs causing a huge waste of their time.
The data analysis part and data cleaning part are.
Below, the frequencies of the top 10 countries in our dataset can be seen. From this graph, we can see that most of the job offerings are located in the u.s., followed by great britain. The proposed framework consists of two main modules: In this paper, machine learning and deep learning algorithms are used so as to detect fake jobs and to differentiate them from real jobs.
Understanding Wasmo Somali Culture, Significance, And More
Wasmo Somali Queen Telegram The Ultimate Guide To Understanding The
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