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Data stream mining is very popular in recent years with advanced electronic devices generating continuous data streams. The performance of standard learning algorithms is been compromised with imbalance nature present in real world data streams. In this paper we propose a novel algorithm dubbed as increment over sampling for data streams (IOSDS) which uses an unique over sampling technique to almost...
The main objective of this research is to develop a framework to classify the medical data. In order to achieve promising results in medical data classification, we have planned to utilize orthogonal local preserving projection and classifier. Initially, the pre-processing will be applied to extract useful data and to convert suitable sample from raw medical datasets. Here, input dataset will be as...
Cloud is a forthcoming revolution in organizations because of maintaining different services like SaaS, PaaS, DaaS, laaS for public and private users of information technology. To avail these services in an effective and efficient way users have to legalize with cloud service providers (CSP). In this process CSP requires highly secure authentication scheme because attackers are becoming more cosmopolitan...
Reliability of multicomputer system depends heavily upon the operational configuration of its interconnection network. As the folded hypercube shows potential for critical applications, the prediction of its reliability has become quite essential. This paper is devoted towards the reliability evaluation of folded hypercube interconnection network. The model is based on the principle of decomposition...
The objective of this research is to focus on handling QoS for Wireless Sensor Network (WSN). Packet dropping and modifying is common attack in wireless sensor networks. These attacks interrupt the communication network and are difficult to identify in multi hop sensor networks. This paper presents an effective scheme to identify the packet droppers and modifiers by using ranking algorithms on the...
Cluster analysis is a main task of exploratory data mining and plays important role in many applications. There are numerous of clustering techniques in data mining works efficiently for low dimensional data and fails to handle high dimensional data. In this paper we evaluated the performance efficiency of K-means and Agglomerative hierarchical clustering methods based on Euclidean and Manhattan distance...
The performance of an Interconnection network can be considered as a key factor in the construction of parallel computers. Such performance criteria are useful in the selection of the interconnection networks while constructing the parallel computers as they depend upon the applications that are used. In this paper, we propose a methodology where different criteria affecting the performance of Hypercube...
In parallel computing, processors must communicate with each other to exchange data or intermediate results. This can be achieved by message routing via an interconnection network in a multicomputer. Interconnection network is one of the major factors which determine the reliability of a multicomputer system. This paper presents an efficient analytical approach to compute the reliability of multicomputer...
This paper presents an efficient combinatorial approach to compute the reliability of Folded Crossed cube topology. The reliability measure has been defined as Task-based Reliability (TBR).The model is based on decomposition principle which is entirely task-based and can handle any degradation. The reliability results are obtained using recursive equation both optimistic and pessimistic are better...
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