Samaneh Ghods Articles List

List of Articles Samaneh Ghods

Open Access Article
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1 - Spam Detection by Game theory
Samaneh Ghods

There are number of datamining applications that are fighting with Adversaries, Spam filtering to intrusion detection is as an example. For reducing the classifier accuracy, Adversary intentionally manipulate data. Consequently, in all these applications initially succe More

There are number of datamining applications that are fighting with Adversaries, Spam filtering to intrusion detection is as an example. For reducing the classifier accuracy, Adversary intentionally manipulate data. Consequently, in all these applications initially successful classifiers will decline easily. In this paper, we model the interaction between the classifier and the adversary as a two players sequential game then we model the interaction as an optimization problem and solve it using evolutionary strategy. Finally, simulation results show the good performance of the proposed algorithm, and improves accuracy spam detection on several real world data sets. Manuscript profile
Open Access Article
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2 - Coupled fixed point in Fuzzy metric spaces
Samaneh Ghods

In this present work, we prove fixed point theorem for contractive mapping F: X × X → X in fuzzy metric spaces that have a nonempty F −invariant complete subspace E, then prove the uniqueness the fixed point in E. Though many theorems in fuzzy metric sp More

In this present work, we prove fixed point theorem for contractive mapping F: X × X → X in fuzzy metric spaces that have a nonempty F −invariant complete subspace E, then prove the uniqueness the fixed point in E. Though many theorems in fuzzy metric space in this case, our theorem is a new type of these theorems. because we prove unique fixed point is in F − invariant complete subset E in X. Finally, we give an interesting example in complete fuzzy metric space that satisfies in the conditions of our theorem. Manuscript profile
Open Access Article
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3 - Improved SVM for Multi-class Classification by fuzzy game theory
Samaneh Ghods

SVM is one of the popular classification algorithms based on statistics learning, which is presented for two-class problems. In real environments, the problem is usually multi-class. Thus, multi-class separation methods are very important compared to binary classes. In More

SVM is one of the popular classification algorithms based on statistics learning, which is presented for two-class problems. In real environments, the problem is usually multi-class. Thus, multi-class separation methods are very important compared to binary classes. In this work, to decrease the complexity of the model and the resulting loss of accuracy, fuzzy game theory is derived, which will be able to map the non-linear to a linear problem. Fuzzy game theory is obtained from the probability of data in each class by using two players (in our problem, each player is equivalent to a class label). Here, the decision matrix is yielded by the fuzzy logic, and then the equations are solved by the linear programming. Obtained results from the computer simulation validate the SVM model by fuzzy game theory. Manuscript profile

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List of Articles Samaneh Ghods