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Behaviour Analysis of Multilayer Perceptrons with Multiple Hidden Neurons and Hidden Layers

Behavioral analysis of different number of hidden layers and differentNumber of hidden neurons is discussed, it's very difficult to select number ofhidden layers and hidden neurons.
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Association Rule Hiding by Heuristic Approach to Reduce Side Effects and Hide Multiple R. H. S. Items

Experimental results show that both proposed algorithms outperform DSRRC in terms of side effects generated and data quality in most cases.

A Survey: Privacy Preservation Techniques in Data Mining

Current scenario of privacy preserving data mining framework and techniques are presented and no privacy preserving algorithm exists that outperforms all others on all possible criteria.
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Initial Classification Through Back Propagation In a Neural Network Following Optimization Through GA to Evaluate the Fitness of an Algorithm

It is eastliblished that back propagation neural network works successfully for the purpose of classification and the issue of improving the fitness (weight adjustment) of Back propagation algorithm is addressed.
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A Survey and Comparative Analysis of Data Mining Techniques for Network Intrusion Detection Systems

The current state of art data mining techniques are reviewed, various data mining techniques used to implement an intrusion detection system such as Decision Trees, Artificial Neural Network, Naïve Bayes, Support Vector Machine and K-Nearest Neighbour Algorithm are compared and advantages and disadvantages are highlighted.

Improved Decision Tree Induction Algorithm with Feature Selection , Cross Validation , Model Complexity and Reduced Error Pruning

Data mining is the process of finding new patterns. Classification is the technique of generalizing known structure to apply to new data. Classification using a decision tree is performed by routing…

Gain Ratio and Decision Tree Classifier for Intrusion Detection

This paper proposes architecture of IDS where GainRatio is used for feature selection and decision tree for classification using NSL-KDD99 dataset, and includes the evaluation of the performance of the Decision tree on the dataset and also on the reduced dataset.
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A Study on Association Rule Hiding Approaches

This paper provides a survey of association rule hiding methods for privacy preservation and summarizes them and survey current existing techniques for associationRule hiding.

A Survey and Current Research Challenges in Multi-Label Classification Methods

The task of multi-label classification, methods for multi- label classification and evolution measure for multi -label classification are introduced and comparative analysis of multi label classification methods is done on the basis of theoretical study and simulation.

Efficient constraint-based Sequential Pattern Mining (SPM) algorithm to understand customers’ buying behaviour from time stamp-based sequence dataset

This article focuses on purchase trend of customer, where timing of purchase is more important than association of item to be purchased, and which can be found out with Sequential Pattern Mining (SPM) methods.
Taylor & Francis (opens in a new tab)
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