Human immune deficiency virus results a noncurable disease acquired immuno deficiency syndrome (AIDS). After a person is infected with virus, the virus gradually destroys all the infection fighting cells called CD4 cells and makes the individual susceptible to opportunistic infections which cause severe or fatal health problems. The most effective treatment for the disease is the...
In this paper, we apply the model of the extended linear expenditure system to measure housing affordability of urban households in Beijing, and calculate the affordable housing areas of urban households which are on different income levels in Beijing in 2014 and 2004. In this study, we find that, the household disposable incomes of urban households in Beijing increase along with...
The exponential distribution is one of the fundamental lifetime models and is widely used for describing a failure mechanism of a system. Different applications of this distribution in survival analysis and reliability theory can be found in statistical literature. In this article, some powerful tests for exponentiality based on the likelihood ratio are proposed. The critical...
Constructing a triple ordinal outcome model in one binary logistic regression is proposed. Various applied problems can be formulated with response variable of three ordinal categorical levels of negative–neutral–positive kind. Such a response is commonly considered in two ordinal logistic models or in two multinomial shares of three possible outcomes. The current work shows that...
The paper introduces a new approach for testing the validity of a model’s forecasts and it is established that the proposed test is exact for location–scale family. The results are used to introduce goodness-of-fit tests for the normal, exponential, uniform and Laplace distributions. Through Monte Carlo simulation, the power values of the proposed test under various alternatives...
Sensing enterprises make use of new technologies to capture real-time information and fed constantly the decision making process. Decision support systems (DSS) are exposed to these real-time events and it is possible to start the decision process from scratch in case any unexpected internal and external events take place. Thus, an event monitoring and management system should...
A step-by-step approach to taxonomy construction is presented. On the first step, the upper layer frame of taxonomy is built manually according to educational materials. On the next steps, the frame is refined at a chosen topic using the Wikipedia category tree and articles, both cleaned of noise. Our main tool in this is a naturally defined string-to-text relevance score, based...
A major challenge in consumer credit risk portfolio management is to classify households according to their risk profile. In order to build such risk profiles it is necessary to employ an approach that analyses data systematically in order to detect important relationships, interactions, dependencies and associations amongst the available continuous and categorical variables...
There is increasing interest in the data mining and network management communities in improving existing techniques for the prompt analysis of underlying traffic patterns. Anomaly detection is one such technique for detecting abnormalities in many different domains, such as computer network intrusion, gene expression analysis, financial fraud detection and many more. Clustering...
Big Data is a revolutionary phenomenon which is one of the most frequently discussed topics in the modern age, and is expected to remain so in the foreseeable future. In this paper we present a comprehensive review on the use of Big Data for forecasting by identifying and reviewing the problems, potential, challenges and most importantly the related applications. Skills, hardware...
In data science, anomaly detection is the process of identifying the items, events or observations which do not conform to expected patterns in a dataset. As widely acknowledged in the computer vision community and security management, discovering suspicious events is the key issue for abnormal detection in video surveillance. The important steps in identifying such events...
This paper deals with the estimation of stress-strength reliability parameter, \(R = P\left( Y < X \right) \), based on progressively type II censored samples when stress, strength are two independent generalized Pareto random variables. The maximum likelihood estimators, their asymptotic distributions, asymptotic confidence intervals, bootstrap based confidence intervals and...
Support Vector Machines (SVM) is one of the well known supervised classes of learning algorithms. SVM have wide applications to many fields in recent years and also many algorithmic and modeling variations. Basic SVM models are dealing with the situation where the exact values of the data points are known. This paper presents a survey of SVM when the data points are uncertain...
This paper briefly examines the question of how many judges are needed to obtain valid and consistent judgments when using the analytic hierarchy process. It turns out that if a judge is experienced and well versed in an area, he can be sufficient to provide the judgments instead of diluting his accuracy with the participation of others who may not be as good. How to discover...
We are using more and more devices connected to the Internet. Our smartphones, tablets and now everyday items can share data to make our life easier. Sharing data may harm our privacy and there is a need to control them. However, this task is complex especially for non technical users. To facilitate this task, we present a decision support system, named KAPUER, that proposes high...
Big data has received high attention from different industries and functional areas for now. At present, the applications of big data in Chinese real estate enterprises have achieved some success, while the systematic research about this is not sufficient so far. This paper focuses on the present applications of big data in Chinese real estate development and marketing. It...
Even though Big Data is a hot technology in the ICT industry with a large effect on economy and society, Big Data is a relatively indefinite concept, like a “laundry list”,compared with cloud computing and Internet of things. Fortunately, there is a consensus that Big Data standardization can promote the exchange and scoping of data, guarantee the data completeness and timeliness...
Based on previous paper titled in “Data, DIKW, Big data and Data science” presented in ITQM2014 and published in Procedia Computer Science we will make some modifications. We discuss the relationship between data and data–information–knowledge–wisdom. Now the big data occupies much attention in some extent for his volume, velocity, and variety. But in practical use the value...
Domain name system (DNS) provides a critical function in directing Internet traffic. Defending DNS servers from bandwidth attacks is a significant task of DNS service providers. Traditional rule-based anomaly or intrusion detection methods are not able to update the rules dynamically. Data mining based approaches are able to find various patterns in the massive dynamic query...
The Service Oriented Approach (SOA) is based on the idea that distributed applications can be flexibly composed by integrating independently developed component services. Due to the fact that a large number of available services offer similar functionality, when choosing actual services to be included in the composition their non-functional (Quality of Service – QoS) properties...
This paper introduces factor space theory, which provides a general coordinate system to describe the real world and a theoretical base for data science. Based on the theory, factorial databases is presented, which carries a new kind of statistics to do intelligent analysis for coming tide of Big Data.
The community modality how middle and small size ports work, consists of a group of associative enterprises and logistic chains. In order to optimize the efficiency of their activities at both strategic and operational levels, they require a continuous assessment of their knowledge management. Accordingly, this work proposes a business model design for managing a sea port...