Thư viện Cơ sở dữ liệu

This model identifies underlying semantic structure of a document collection from word to topic and topic to document quickly, effectively without human intervention. Initially, this model creates the topics based on Dirichlet Distribution using vector space model.

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To set our current mechanism as scalable, we suggest a partition based approach that outplays the baseline algorithm by up to an offer the magnitude. The appropriateness of the current framework and the achievement of the algorithms are check out real locations data.

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The query language will be in English and documents will be retrieved from Marathi documents collection. English query translation will be done dictionary based approach. To improve performance of the proposed system, query expansion using WordNet and pre-processing techniques will be employed to get good precision and recall.

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This system also increase the lifetime of sensor nodes using an efficient AVGDRA(Advanced Virtual Grid Dynamic Route Adjustment) routing scheme. In this scheme a limited number of nodes to readjust their data delivery routes toward the mobile sink.

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Clustering is an unsupervised learning problem which is used to determine the intrinsic grouping in a set of unlabeled data [3]. The grouping of objects is done on the principle of maximizing the intra-cluster similarity and minimizing the inter-cluster similarity in such a way that the objects in the same group/cluster share some similar properties/traits [4].

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The HAN energy management system (HAN ems) and Smart Grid energy management system (SG ems) are moved to cloud through virtualization technique, where the cloud provides monitoring and control of smart home appliances. Since the HAN communication with the cloud involves private data from home, security and privacy of that data are deemed important factors.

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In our proposed system, introduced new meta heuristic algorithm to perform the load balancing. The Ant Colony Optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.

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A suspect hides the data in these files so that they are not accessible to anyone. There are various ways to hide the data in NTFS file system. This paper discusses about the hiding the data on the NTFS file system with alternate data stream.

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Data security is the very important thing in recent years. One organization has to share the data with other for business purpose. The owner of the data can also be called as data distributer and the other business organization can also be called as data agents. Agents should not share the important business data with other agents or third-party. How to detect who among the agents are guilty and done data leakage is challenging issue.

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In this paper we start with a brief summary of the existing approaches commonly used in heterogeneous database integration followed by a new and unique approach of integration of heterogeneous databases based on XML. Compared to conventional models, this model is simple, efficient and cost effective and hence can be widely used in businesses spread across multiple locations.

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