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Business intelligence (BI) builds upon a set of tools and applications that enable the analysis of vast amounts of information (Big Data). Educational institutions handle large volumes of Big Data every year. There is a strong need for the use of BI in these institutions to improve their processes and support decision making. The core technology in a BI project is a datawarehouse (DW). This paper...
Over the years, many organizations have implemented business intelligence (BI) systems as an initiative towards dynamically creating and managing information that enables real-time responses to business and process variations using focused analytical assessments. This study captures the essence of BI practices that are most responsible for optimizing organizational performance by applying analytic...
A new model of decision support system is presented in this paper. The system is designed in four layers structure and is based on three library. Firstly, we analysis the existing problem of the efficiency and expandability of the system. Then, we study the knowledge management and the B/S model based on Web technology. Based on this, the paper gives the model of the decision support system based...
Skyline cube is the crucial mechanism in multidimensional skyline queries and preference analysis, and has attracted much attention recently in knowledge management community. This is mainly due to the importance of skyline cube in many applications, such as data mining and visualization, user-preference queries, and multi-criteria decision making. In this paper, we propose a novel multidimensional...
In order to make Knowledge Management play its active role to improve working efficiency and support making decision in E-Commerce enterprises, this paper firstly introduced the prominent role of Knowledge Management in E-Commerce enterprises, then it adopted Web Mining to Knowledge Management in E-Commerce enterprises. And the purpose of this study can be boiled down into implementing Web Mining...
Knowledge map is considered as one of powerful tools for the knowledge management. In this paper, we elucidate the relevant concepts, and propose the definition and characteristics of enterprise knowledge map based on geospace. By synthesizing the existing knowledge acquisition and representation techniques, it suggests the constructive process. Enterprise knowledge and Geospace knowledge are used...
In the knowledge-based economy, business intelligence (BI) and knowledge management (KM) are posed to solve information glut and knowledge sharing to improve decision-making in enterprises. KM and BI are different but interrelated in terms of common foundation, complementarity and synergy. First, this paper gives a brief introduction of BI and KM, and then discusses the relation between them as well...
Small and middle businesses (SMBs) play an increasingly important role, but their decision making process mostly relies on skilled employees which are usually not available. Information systems can help to solve this problem to a certain extent, meanwhile they also cause information explosion or even knowledge overload which confuses the decision makers. As an extended research of intelligent knowledge...
Knowledge can be mined to make new knowledge, and rules which can be organized and presented for decision making. Data and knowledge coming from heterogeneous sources and formats are required to be efficiently extracted, transformed and stored for decision making. The information about different architecture and tools available in the literature could not handle extraction, transformation and storing...
The two most important tasks in information extraction from the Web are webpage structure understanding and natural language sentences processing. However, little work has been done toward an integrated statistical model for understanding webpage structures and processing natural language sentences within the HTML elements. Our recent work on webpage understanding introduces a joint model of Hierarchical...
The world-wide deployment of GIS in urban underground pipeline network (UPN) has led to a rapid growth in the amount of information. To improve the management and gather useful knowledge from the UPN's database more effectively, we integrate the UPN GIS system with data mining technology. In this paper, we study the spatial characteristics of UPN, analyze the basis of data warehouse-based data mining...
In the era of knowledge-based economy, knowledge has become the core competitiveness of enterprise gradually. In the implementation of knowledge management, how to evaluate knowledge contribution of employee or an organization is an important problem which cannot be avoided. This paper first bring forward the definition of knowledge contribution, and then the necessity of knowledge contribution is...
The implementation of knowledge management in our country's IT enterprise is at the preliminary stage basically. Data mining is a very crucial part of knowledge management which is an effective knowledge management process of using data and which can quickly-efficiently explore effective information and knowledge on management and decision-making and improve the efficiency of enterprise's knowledge...
The importance of employees' knowledge training in enterprise management was expatiated, and the deficiencies of employees' knowledge training management were pointed out firstly. On the base of above, it was figured out that, the knowledge lack of employees must be understood through analyzing the employees' knowledge requirements firstly if enterprise carries out knowledge training effectively....
In sustaining and being competitive in business area, sales and financial is one of the core sector to be managed. Future prediction of sales growth, profit-making opportunities and staff performance tracking are some of the key areas to gain competitive advantages. This study aims at producing a comprehensive sales and financial management framework to be incorporated by organizations with the capabilities...
The firm can develop some firm-specific institutional knowledge, with which the firm coordinate specialists' work under the condition of labor division. Due to the bounded rationality, the complexity of decision-making, uncertainty about the future and imperfect information, efficiency differences occur in developing firm-specific knowledge, and some firms gain knowledge capital. Besides, some isolating...
The following topics are dealt with: intelligent systems design; evolutionary algorithms; soft computing in intelligent agents and Web technologies; genetic fuzzy systems; intelligent image processing and artificial vision; hybrid learning for artificial neural networks; swarm intelligence; tags and recommendations in Web 2.0; representation and approximation of fuzzy numbers; from business intelligence...
Under the enormous uncertainty environmental condition, rational and procedures of decision making has been difficult to work effectively. Making decisions by intuition is increasingly viewed as a viable approach at a time of rapid and unprecedented change in the business environment. In this article, we empirical test the proposition that Dane, Pratt(2007) proposed. And, it also expands the research...
In the current age of recession, human resource department of every organization is facing a real challenging task of recruiting right talent peoples who can do the project in different problem domain and complete it within timeline. The main responsibility of any HR personnel is to propose right talent pool to the interviewers to save their time in selecting the right talent for their organization...
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