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This paper proposes an image encryption scheme based on Cellular Automata (CA). CA is a self-organizing structure with a set of cells in which each cell is updated by certain rules that are dependent on a limited number of neighboring cells. The major disadvantages of cellular automata in cryptography include limited number of reversal rules and inability to produce long sequences of states by these...
Discovering the effective subset of models in a pool of classifiers is an important and remarkable topic in ensemble learning scope. Using meticulously selected subset instead of entire ensemble leads to more efficient and effective results. This paper introduces a novel hybrid ensemble selection method of firefly and forward search algorithms. Because of the two different selection phases in the...
The main idea behind social participatory sensing is to leverage social friends as crowd workers to participate in mobile sensing tasks. A main challenge, however, is the recruitment of sufficient number of well-suited participants. Contributing sensing data requires time and monetary cost and may potentially impose privacy risks. This may lead to the unwillingness of the participants to contribute...
With rise of web 2.0, its associated user-centric applications have attracted a lot of users. Folksonomy plays an important role in these systems, which is made of labeling data. Discovery triadic frequent closed patterns is an important tool in knowledge discovery in folksonomy. The huge volume of data and the number of dimensions in these systems, including users, tags and resources are challenging...
Leveraging social networks as an underlying infrastructure for participatory sensing systems provides an effective means to have access to a reasonable number of participants, which is essential for the success of this new and exciting paradigm. Another important issue is assessing the quality of the contributions prepared by the participants, who are, on the other hand, the social network members...
In order to increase the life time of wireless sensor networks, using hierarchical methods which transfer its data toward sink through multi-hop would be suitable and significantly decreases the energy consumption, Also the management of networks with a lot of Nodes would be done much better. In this paper we have presented fuzzy hierarchy method FUMOR (Fuzzy Multi-hop Routing for Wireless sensor...
Association rule mining is based on the assumption that users can specify the minimum-support for mining their databases. It has been identified that setting the minimum support is a difficult task to users. This can hamper the widespread applications of these algorithms. This paper proposes a method for computing minimum supports for each item. It therefore will run the fuzzy multi-level mining algorithm...
Association rule mining is based on the assumption that users can specify the minimum-support for mining their databases. It has been identified that setting the minimum support is a difficult task to users. This can hamper the widespread applications of these algorithms. This paper proposes a method for computing minimum supports for each item. It therefore will run the fuzzy multi-level mining algorithm...
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