Abhishek Raghuvanshi

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All rights reserved by www.ijsrd.com 213 Abstract—Sequential rule mining has been applied in several domains such as stock market analysis [3], weather observation and drought management [4].The most famous approach for sequential rule mining is that of Mannila et al. [3] and other researchers afterward that aim at discovering partially ordered sets of(More)
The data retrieval process needs a storage and search methodology to find the data according to the query inputs. The presented work is focused on the image data retrieval using the query inputs. There are two different kinds of input are frequently used for image search namely text or images. But the text query can be misguiding the search outcomes and(More)
The paper gives an overview of privacy preserving in association rule mining techniques. In this paper, all the present privacy preserving using association rule hiding techniques are discussed. This paper also proposes a classification hierarchy that sets the basis for analyzing the work which has been performed in this context. A detailed review of the(More)
The data mining architecture works on facts and figures which are used for any type of decision making. To perform any analysis and decision making, these facts must be complete so that the analyst can make a strategy for decision making. In fact the most important problem in knowledge discovery is the missing values of the attributes of the Dataset. The(More)
Dynamic Spectrum Access technology enables two types of users to operate on a channel- primary users, which have prioritized access to the channel and secondary users, which can use the channel when it is not in use by the primaries. We consider a scenario in which multiple primaries own bandwidth in a large region (e.g., a state), which is divided into(More)
-Knowledge discovery is the most discussed topic now a day. Data which is collected from various resources are processed through various stages and the output of this process is the knowledge which is previously hidden. Basically data mining is a technique whose outputs are previously unknown and potentially useful information from data. There are several(More)
In distributed system fault tolerance is an important issue. Many applications executing in present scenario with several processors have to face with problems related to consistency and availability. Complete process will fail with the failure of a single component. There are many existing approaches which assure reliable execution, are based on fault(More)
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