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Analysis of Road Traffic Fatal Accidents Using Data Mining Techniques Abstract-Roadway traffic safety is a major concern for transportation governing agencies as well as ordinary citizens. In order to give safe driving suggestions, careful analysis of roadway traffic data is critical to find out variables that are closely related to fatal accidents. In this paper…
Brain MRI Segmentation based on Different Clustering Algorithms Abstract-In this study, MR Image segmentation has been realized with some clustering algorithms. In the study, the performances kmeans, lloyds, llyds-kmeans, pso clustering, ga clustering and jaya optimisation algorithms on some MR images from BRATS 2012 dataset have been compared. For the comparison, the manual segmentation results…
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts Abstract-In this paper, we aim at tackling the problem of user clustering in the context of their published short text streams. Clustering users by short text streams is more challenging than in the case of long documents associated with them as it is dif?cult…
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts Abstract-In this paper, we aim at tackling the problem of user clustering in the context of their published short text streams. Clustering users by short text streams is more challenging than in the case of long documents associated with them as it is difficult…
Energy-balanced Unequal Layering Clustering in Underwater Acoustic Sensor Networks Abstract-Underwater acoustic sensor networks (UASNs) are used extensively in activities such as underwater data collection and water pollution detection. A UASN consists of acoustic sensors that use batteries as their power supply. Because of the complex underwater environments in which UASNs are employed, replacing these batteries…
Greedy discrete particle swarm optimization for large-scale social network clustering Abstract-Social computing is a new paradigm for information and communication technology.Social network analysis is one of the theoretical underpinnings of social computing. Community structure detection is believed to be an effective tool for social network analysis. Uncovering community structures in social networks can be regarded…
Hybrid Self-Organized Clustering Scheme for Drone based Cognitive Internet of Things Abstract-Network management by using cognitive approach is an attractive solution for drone based Internet of thing (IoT) environment to provide many modern facilities to IoT users. In this paper, we try to minimize the networking related issues for drone based IoT by providing a…
Sequential Clustering for Anonymizing Social Networks Abstract-The main contributions in this paper are sequential clustering algorithm for anonymizing a social network and a measure that quantifies the information loss in the anonymization process to preserve privacy. The algorithm significantly outperforms the SaNGreeA algorithm due to Campan and Truta which is the leading algorithm for achieving…
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