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Over time, software development organizations have been interested into the implementation of best practices that facilitate the improvement of its software processes with the firm purpose of improving products quality. One of the best approaches to improve software processes is to adopt a Software Process Improvement (SPI) initiative, which evaluates current practices and the way software products...
To achieve digital transformation, organizations must gain control of the avalanche of data that is generated by supplier, customer, and employee interactions. This complex data environment has led enterprises to realize that new leadership is needed to take on responsibility for data and information value. The chief data officer (CDO) role has arisen to fill this need. The author examines this relatively...
The applied research for visualization methods in recommendation systems are demonstrated from the data analysis, results and explanation of the recommendations and human-computer interaction. First, various categories of visualization methods thoughts are described, and their characteristics, pros and cons are analyzed. Second, the typical application applying visualization methods are listed. Finally,...
Application of Big Data analytics to exploit for insight and assist in decision making have seen phenomenal growth among organizations in recent years. Although many organizations have invested heavily in Big Data technologies, there still seems to be a lack of common reference framework for organizations to derive business values and answer critical business questions from Big Data Analytics (BDA)...
This paper presents SkillsRec -- a novel teacher guidance based learner skills mining and filtering approach that identifies learner skills for Personal Learning Environment (PLE) based learning scenarios using Latent Semantic Analysis (LSA) technique. Skills Rec is developed on PLE design and development principles of the guided PLEs model [1]. Skills Rec takes teacher competencies/roles [2] and...
This paper presents the design, development and demonstrative case studies of the Social Data Analytics Tool, SODATO. Adopting Action Design Framework [1], the objective of SODATO [2] is to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. We report and discuss results from two demonstrative case studies...
Graph data is the default data organization mechanism used in large-scale Social Network Service (SNS) applications. Traditional graph data computing models are used to dig out useful hidden information inside the data. However, the ever growing data volume is adding more and more pressures. To retrieve and discover the information, the system has to introduce a larger number of data iterations. This...
Nowadays, datasets grow enormously both in size and complexity. One of the key issues confronted by large-scale dataset analysis is how to adapt systems to new, unprecedented query loads. Existing systems nail down the data organization scheme once and for all at the beginning of the system design, thus inevitably will see the performance goes down when user requirements change. In this paper, we...
Data mining is a technology in data analysis with rising application in sports. Basketball is one of most popular sports. Due to its dynamics, a large number of events happen during a game. Basketball statisticians have task to note as many of these events as possible, in order to provide their analysis. In this paper, we used data from the First B basketball league for men in Serbia, for seasons...
Businesses of all sizes and in different industries, as well as government agencies, are finding that they can realize significant benefits by implementing a data warehouse. A data warehouse provides the base for the powerful data analysis techniques that are available today such as data mining and multidimensional analysis, as well as the more traditional query and reporting. Having an enterprise...
The popularity of data warehouses for data analysis has grown tremendously. Data warehouse systems have emerged as the core of management information systems. Data warehouse is part of a larger infrastructure that includes legacy data sources, external data sources, data acquisition software, a repository, analytical tools, and user interface. The difficulties of data warehouse implementations have...
By analysis and research on physical storage devices organization strategy and physical storage mechanism that is proper for the migration of data flow in cloud storage node, in order to associate physical storage resources with logical data resources, to become more easy for data flow to flow sustainably and intellectually between data poolings. By establishing organization model of hybrid data and...
After an election campaign, it is important to identify events that marked change points in voter support. Pre-election polls provide a measure of the state of voter support at points in time during the election campaign. However, polling data is difficult to analyze because it is sparse and comes from multiple sources, which can be individually biased. In this paper, we propose a change point model...
Mining software repositories using analytics-driven dashboards provides a unifying mechanism for understanding, evaluating, and predicting the development, management, and economics of large-scale systems and processes. Dashboards enable measurement and interactive graphical displays of complex information and support flexible analytic capabilities for user customizability and extensibility. Dashboards...
To meet the organization process measurement need, this paper presented an integrated measurement model for the software process management, which establishes the relationship between organization unit, role definition and the GDM analysis result of business goal. This model supports such process measurement activities as the data collection, data analysis and communication of analysis result. When...
Grid operations rely on monitoring services fed by a multitude of sources. These services provide relevant information about the status of the resources and the quality of the services in the infrastructure. In a Grid, they must disseminate this information across multiple administrative domains and heterogeneous technical platforms to users organized in different virtual organizations. In order to...
In this paper, a modeling method for the data analysis solution is presented and the enterprise level of the data warehousing problem is introduced. The method includes the processes of the requirement elicitation, analysis stage and the initial design of the data warehouse. The extended operation model which can satisfy the need of the data warehouse is also presented in this paper because that it...
Several vulnerability analysis techniques in web-based applications detect and report on different types of vulnerabilities. However, no single technique provides a generic technology-independent handling of Web-based vulnerabilities. In this paper we present our experience with and experimental exemplification of using the application vulnerability description language (AVDL) to realize a unified...
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