International Journal of Applied Information Systems 

About: International Journal of Applied Information Systems is an academic journal. The journal publishes majorly in the area(s): Cloud computing & Encryption. It has an ISSN identifier of 2249-0868. Over the lifetime, 468 publications have been published receiving 2720 citations.

Face Photo-Sketch Synthesis and Recognition

Abstract: Today in Modern Society Face Recognition has gained much attention in the field of network multimedia access. After the 9/11 tragedy in India, the need for technologies for identification, detection and recognition of suspects has increased. One of the most common biometric recognition techniques is face recognition since face is the convenient way used by the people to identify each other. In this paper we are going to study a method for representing face which is based on the features which uses geometric relationship among the facial features like mouth, nose and eyes .Feature based face representation is done by independently matching templates of three facial regions i.e eyes, mouth and nose .Principal Component Analysis method which is also called Eigen faces is appearance based technique used widely for the dimensionality reduction and recorded a greater performance in face recognition. Here we are going to study about PCA followed by Feed Forward Neural Network called PCA-NN.

Multi-Class Twitter Emotion Classification: A New Approach

Abstract: Micro blogging today has become a very popular communication tool among Internet users. Millions of users share opinions on different aspects of life every day. Therefore micro blogging web-sites are rich sources of data for opinion mining and sentiment analysis. Because micro blogging has appeared relatively recently, there are a few research works that are devoted to this topic. In this paper, we are focusing on using Twitter, the most popular micro blogging platform, for the task of Emotion analysis. We will show how to automatically collect a corpus for Emotion analysis and opinion mining purposes and then perform linguistic analysis of the collected corpus and explain discovered phenomena. Using the corpus, we will build a Emotion classifier that will be able to determine the emotion class of the person writing.

Applying Machine Learning Methods in Diagnosing Heart Disease for Diabetic Patients

Abstract: Classifying data is a common task in Machine learning. Data mining plays an essential role for extracting knowledge from large databases from enterprises operational databases. Data mining in health care is an emerging field of high importance for providing prognosis and a deeper understanding of medical data. Most data mining methods depend on a set of features that define the behaviour of the learning algorithm and directly or indirectly influence the complexity of resulting models. Heart disease is the leading cause of death in the world over the past 10 years. Researches have been using several data mining techniques in the diagnosis of heart disease. Diabetes is a chronic disease that occurs when the pancreas does not produce enough insulin, or when the body cannot effectively use the insulin it produces. Most of these systems have successfully employed Machine learning methods such as Naive Bayes and Support Vector Machines for the classification purpose. Support vector machines are a modern technique in the field of machine learning and have been successfully used in different fields of application. Using diabetics’ diagnosis, the system exhibited good accuracy and predicts attributes such as age, sex, blood pressure and blood sugar and the chances of a diabetic patient getting a heart disease.

Tokenization and Filtering Process in RapidMiner

Abstract: Text mining is defined as a knowledge-intensive process in which a user interacts with a document collection. As in data mining[2,4,9], text mining seeks to extract useful information from data sources through the identification and exploration of interesting patterns. A key element of text mining is its focus on the document collection. A document collection can be any grouping of text-based documents. Most text mining solutions are aimed at discovering patterns across very large document collections. The number of documents can range from the many thousands to millions. In this paper, we will see how text mining is implemented in Rapidminer.

Effort Estimation in Agile Software Development using Story Points

Abstract: Agile software development has been gaining popularity and replacing the traditional methods of developing software. However, estimating the size and effort in Agile Software development still remains a challenge. This paper gives an overview of the different size estimation methods traditionally used and discusses in details the method based on Story Points, which is at present the most widely used estimation technique in Agile Software Development. The paper describes the steps followed in Story Point based method and highlights the area which needs to be looked into further.