Multi-label classification has attracted a great deal of attention in recent years. This paper presents an approach exploits a ranking model to learn which neighbor’s labels are more trustable candidates for a weighted KNN-based strategy, and then assigns higher weights to those candidates when making weighted-voting decisions. Our experiment results demonstrate that the proposed method outperf...

People are regularly asked to report on their likelihoods of carrying out consequential future behaviors, including complying with medical advice, completing educational assignments, and voting in upcoming elections. Despite these stated self-predictions being notoriously unreliable, they are used to inform many strategic decisions. We report two studies examining stated self-prediction about w...

This paper presents an expert system for differential diagnosis of erythemato-squamous diseases incorporating decisions made by three classification algorithms: nearest neighbor classifier, naive Bayesian classifier and voting feature intervals-5. This tool enables doctors to differentiate six types of erythemato-squamous diseases using clinical and histopathological parameters obtained from a ...

This paper is about the implementation of a visual tool for Differential Diagnosis of Erythemato-Squamous Diseases based on the classification algorithms; Nearest Neighbor Classifier (NN), Naive Bayesian Classifier using Normal Distribution (NBC) and Voting Feature Intervals-5 (VFI5). This tool enables the doctors to differentiate six types of ErythematoSquamous Diseases using clinical and hist...

Background: Internet social media platforms have become quite popular, enabling a wide range of online users to stay in touch with their friends and relatives wherever they are at any time. This has led significant increase virtual crime from the inception these present day. Users harassed when confidential information about them is stolen, or another user posts insulting offensive comments the...

Mu et al. have proposed an electronic voting protocol and claimed that it protects anonymity of voters, detects double voting and authenticates eligible voters. It has been shown that it does not protect voter's privacy and prevent double voting. After that, several schemes have been presented to fulfill these properties. However, many of them suffer from the same weaknesses. In this p...

Wireless sensor networks (WSNs) deployed in unattended environment energy recharging is difficult. WSN satisfy application specific QoS requirements i.e., reliability, timeliness, security and minimize energy consumption to prolong system useful lifetime with limited resources. The drawbacks of existing work include redundancy management scheme that did not addresses heavy query traffic. Ambigu...

Prediction and correct voting is critical task in imbalance data multi-class classification. Accuracy and performance of multi-class depends on voting and prediction of new class data. Assigning of new class of imbalance data generate confusion and decrease the accuracy and performance of classifier. Various authors and research modified the multiclass classification approach such as one agains...

Most of currently interaction recognition methods always need to segment the spatio-temporal features to the individuals involved in the interaction or need to build complex action models to present the human interaction. A novel method is proposed without considering the feature segmentation and complex action model in this paper. The proposed method utilizes two simple features i.e., improved...

Protein structure classification is an important issue in understanding the associations between sequence and structure as well as possible functional and evolutionary relationships. Recently structural genomes initiatives and other high-throughput experiments have populated the biological databases at a rapid pace. In this paper, three types of classifiers, k nearest neighbors, class center an...