Optimized Approach for Collaborative eLearning using Real-Time Social Networks
نویسندگان
چکیده
منابع مشابه
Real-time Adaptive Tolling Scheme for Optimized Social Welfare in Traffic Networks
Connected and autonomous vehicle technology has advanced rapidly in recent years. These technologies create possibilities for advanced AI-based traffic management techniques. Developing such techniques is an important challenge and opportunity for the AI community as it requires synergy between experts in game theory, multiagent systems, behavioral science, and flow optimization. This paper tak...
متن کاملA Novel Ensemble Approach for Anomaly Detection in Wireless Sensor Networks Using Time-overlapped Sliding Windows
One of the most important issues concerning the sensor data in the Wireless Sensor Networks (WSNs) is the unexpected data which are acquired from the sensors. Today, there are numerous approaches for detecting anomalies in the WSNs, most of which are based on machine learning methods. In this research, we present a heuristic method based on the concept of “ensemble of classifiers” of data minin...
متن کاملA Novel Approach for Detecting Relationships in Social Networks Using Cellular Automata Based Graph Coloring
All the social networks can be modeled as a graph, where each roles as vertex and each relationroles as an edge. The graph can be show as G = [V;E], where V is the set of vertices and E is theset of edges. All social networks can be segmented to K groups, where there are members in eachgroup with same features. In each group each person knows other individuals and is in touch ...
متن کاملCollaborative Filtering Approach For Big Data Applications in Social Networks
In this paper Collaborative Filtering approach (Club CF) is planned recruiting similar services in the same clusters to recommend services collaboratively (Recommender Service System).Technically this approach is enacted around two stages: In first stage, the available services are divided into small-scale clusters in logic for further processing. In second stage, a collaborative filtering algo...
متن کاملFaceTrust: Collaborative Threat Mitigation Using Social Networks
Unwanted traffic mitigation can be broadly classified into two main approaches: a) centralized security infrastructures that rely on a limited number of trusted monitors to detect and report malicious traffic; and b) highly distributed systems that leverage the experiences of multiple nodes within distinct trust domains. The first approach offers limited threat coverage and slow response times....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Networking Applications
سال: 2018
ISSN: 0975-0290,0975-0282
DOI: 10.35444/ijana.2018.10022