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In the field of deep learning persistent research is going on to train the system by applying various algorithms and techniques. With a view to developing a well trained system many language corpus are built and then let the system to recognize the data. In this paper, we have proposed and implemented an automated comment advisor system that suggest emotion for comments after extracting writings (status...
In this research, we present a technique of developing university ranking prediction system by analyzing global university performance indicators. Here, we consider standardized dataset of Times higher education world university rankings. Firstly, we perform country wise university ranking data analysis to observe the variation of performance indicators to find out the top influential features. To...
Recommender system refers to an information system that predicts the intuition of user observing behavior of all the users. The idea of collaborative filtering lies in producing a set of recommendations based on similarity as well as knowledge of users' relationships to items. In this paper, we combine some traditional similarity metrics to find three types of similar users which are super similar,...
Each year a large number of students apply for graduate studies into well-known universities all around the world. Students trying to pursue higher study in a better institution strengthen their academic profile by obtaining better CGPA, high scores in standardized tests like GRE, TOEFL, IELTS, noteworthy publication records. Some of the applicants become successful by getting admission in desired...
Career-oriented social networking sites are very much useful for job seekers to find a suitable job and useful for recruiters as well to find the right candidate for a job. Job recommendation system helps job seekers to find appropriate jobs matching with their profile. So, it can be considered as recruiters approaching a suitable candidate whenever they have an appropriate job for them. In this paper,...
In this paper, we present an applied research on designing and developing a recommender system for graduate admission seekers which can help them to choose graduate school matching their entire academic profile. Here we have developed a technique to transform relational database for students' all types of relevant information into a universal database format using academic data of successful students...
Discovering the hidden knowledge from large volume of educational data and applying it properly for decision making is essential for ensuring high quality education in any academic institution. This knowledge is extractable through data mining techniques. Association Rule Mining technique aims at discovering implicative tendencies that can provide valuable information for the decision maker. In this...
Socialization refers to the lifelong process of inheriting and disseminating norms, customs and ideologies, providing an individual with the skills and habits necessary for participating within his or her own society. The process of socialization is operative not only in childhood but throughout life. Traditional agents of socialization include family, age mates, teachers and mass media. But now-a-days,...
Delay Tolerant Networks (DTNs) are intermittently connected mobile networks, in which a fully connected path from source to destination does not exist. Therefore in these networks, message delivery relies on opportunistic routing where nodes use store-carry-and-forward paradigm to route the messages. However, effective forwarding based on a limited knowledge of contact behavior of nodes is challenging...
In this paper, we present an algorithm for visible edge determination from moving viewpoint in 2D-space by an easier approach. We show implementation details and performance analysis of the algorithm to justify the efficiency and correctness of the proposed algorithm. The time complexity of the algorithm is O(n2) in the worst case but we hope time complexity can be reduced practically because of the...
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