Journal of Information Engineering and Applications 

About: Journal of Information Engineering and Applications is an academic journal. The journal publishes majorly in the area(s): The Internet & Population. It has an ISSN identifier of 2224-5782. Over the lifetime, 509 publications have been published receiving 2081 citations.

Evaluation Measures for Models Assessment over Imbalanced Data Sets

Abstract: Imbalanced data learning is one of the challenging problems in data mining; among this matter, founding the right model assessment measures is almost a primary research issue. Skewed class distribution causes a misreading of common evaluation measures as well it lead a biased classification. This article presents a set of alternative for imbalanced data learning assessment, using a combined measures (G-means, likelihood ratios, Discriminant power, F-Measure Balanced Accuracy, Youden index, Matthews correlation coefficient), and graphical performance assessment (ROC curve, Area Under Curve, Partial AUC, Weighted AUC, Cumulative Gains Curve and lift chart, Area Under Lift AUL), that aim to provide a more credible evaluation. We analyze the applications of these measures in churn prediction models evaluation, a well known application of imbalanced data Keywords: imbalanced data, Model assessment, accuracy , G-means, likelihood ratios, F-Measure, Youden index, Matthews correlation coefficient, ROC, AUC, P-AUC,W-AUC, Lift, AUL

A Comparative Study of SOAP Vs REST Web Services Provisioning Techniques for Mobile Host

Abstract: Web services are moving towards mobile wireless world as a new emerging technology for mobile applications communication. Now mobile devices can operate as web service providers due to the advancement in mobile device capabilities and it has also become possible due to improvement in web service development technologies and wireless communication techniques. Today’s most important need is to provide uninterrupted, lightweight, continuous web services to resource constrained mobile device in wireless environment. This paper presents a detailed comparison between two frameworks used for providing web services through SOAP and REST and also discusses the problems and challenges in these two frameworks. With the help of comparison we can decide which frame work is most suitable for wireless environment and fulfills the current needs of accessing lightweight mobile web services continuously from resource constrained mobile device. Keywords Mobile Web Services, SOAP, REST, RESTful

Mobile Cloud Computing: Implications and Challenges

Abstract: During the last few years, there is a revolutionary development in the field of mobile computing, multimedia communication and wireless technology. Together with an explosive growth of the mobile computing and excellent promising technology of cloud computing concept, Mobile Cloud Computing (MCC) has been introduced to be a potential technology for mobile services. MCC integrates the cloud computing into the mobile environment and overcomes opportunities and its issues related to this environment (e.g., heterogeneity, scalability, and availability), performance (e.g., storage, battery life, and bandwidth), and security (e.g., reliability and privacy). This paper will explain how cloud computing and mobile devices can be combined for future opportunities, implications and legal issues for developing countries. Keywords: Cloud computing, SaaS, PaaS, IaaS, MCC.

Fuzzy k-c-means Clustering Algorithm for Medical Image Segmentation

Abstract: Medical image segmentation is an initiative with tremendous usefulness. Biomedical and anatomical information are made easy to obtain as a result of success achieved in automating image segmentation. More research and work on it has enhanced more effectiveness as far as the subject is concerned. Several methods are employed for medical image segmentation such as Clustering methods, Thresholding method, Classifier, Region Growing, Deformable Model, Markov Random Model etc. This work has mainly focused attention on Clustering methods, specifically k-means and fuzzy c-means clustering algorithms. These algorithms were combined together to come up with another method called fuzzy k-c-means clustering algorithm, which has a better result in terms of time utilization. The algorithms have been implemented and tested with Magnetic Resonance Image (MRI) images of Human brain. Results have been analyzed and recorded. Some other methods were reviewed and advantages and disadvantages have been stated as unique to each. Terms which have to do with image segmentation have been defined along side with other clustering methods. Keywords: Clustering algorithms, Fuzzy c-means, K-means, Segmentation

Comparative Analysis between DCT & DWT Techniques of Image Compression

Abstract: Image compression is a method through which we can reduce the storage space of images, videos which will helpful to increase storage and transmission process's performance. In image compression, we do not only concentrate on reducing size but also concentrate on doing it without losing quality and information of image. In this paper, two image compression techniques are simulated. The first technique is based on Discrete Cosine Transform (DCT) and the second one is based on Discrete Wavelet Transform (DWT). The results of simulation are shown and compared different quality parameters of its by applying on various images Keywords: DCT, DWT, Image compression, Image processing