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The paper presents a number of research challenges for medical data storing into Health Information Systems (HIS), such as complex-data modeling features, advanced classification structures, integration of very complex data, and demonstrates how this area may benefit from the functionality offered by data warehousing. In addition it is presented a case study that configures a data warehouse developed...
Internet is a rich source of information, but it consists of miscellaneous data fragments. Analytical “surfing” on World Wide Web opens extraordinary prospects for attain and maintain competitive advantage of enterprises and for scientific researches. Exploratory OLAP is one of the main agenda of analytical processing of heterogeneous data sources. The author proposes an original approach to exploratory...
ETL systems are responsible for populating data warehouses' storage structures with historical subject-oriented business data. To do that in the most appropriated manner ETL systems require special computational means, involving frequently the manipulation of large amounts of data that come usually from disparate information sources. Planning and designing ETL systems are very complex tasks, where...
This paper describes a business-oriented analysis environment facilitating analyses of coherent data from Data Warehouses (DWs) and Linked Open Data (LOD) datasets. Specifically, we present a multidimensional modeling solution, named Unified Cube, which provides a single, comprehensive representation of data from multiple sources. Unified Cubes include both concepts close to business terms and user-friendly...
Nowadays, many MOOC platforms have arisen to provide free knowledge. These platforms have a large catalog of courses for different specializations that progressively demand more specific learning resources and assessment methods to evaluate the progression of students. Current MOOC platforms are gradually giving support to these new requirements but with a limited assistance. This paper presents the...
In view of the current problems of system evaluation and decision support, an advanced theory of evaluation based on data station was proposed. The system effectiveness from different aspects was analyzed. For massive and non-structural characteristics a model of simulation data refinement and reconstruction processing was constructed, in order to meet different demands for system analysis a data...
In a regular retail shop the behavior of customers may yield a lot to the shop assistant. However, when it comes to online shopping it is not possible to see and analyze customer behavior such as facial mimics, products they check or touch etc. In this case, clickstreams or the mouse movements of e-customers may provide some hints about their buying behavior. In this study, we have presented a model...
The present article is concerned about the knowledge of the different tools of Business Intelligence used to generate bases for Knowledge Management Systems that allow doing a better decisions making with less risk at any level of the organization. Tests will be made using a relational database management system and performing results in a common business application.
Learning analytics can give powers to teachers and learners to optimize their teaching and learning. This paper presents the design and implementation of learning analytics system for teachers and students based on a special LMS -- THEOL LMS, which is commonly used in blended learning in universities and colleges. The technical architecture of learning analytics system for teachers and students is...
Data warehouses are at the core of enterprise IT and enable the efficient storage and analysis of structured data. Besides, unstructured content, e.g., emails and documents, constitutes more than half of the entire enterprise data and contains a lot of implicit knowledge about warehouse entities. Thus, holistic ana-lytics require the integration of structured warehouse data and unstructured content...
While OLAP (On-Line Analytical Processing) is now a mature, efficient technology, very little attention has been paid to the effectiveness of the analysis and the user-friendliness of a technology often considered tedious of use. This work summarizes various contributions to developing user-centric OLAP, focusing on the use of former queries to enhance subsequent analyses. We first introduce a logical...
This paper describes the building process of the warehouse platform on the e-commerce systems, including research the basic theory, the system design, the ETL design of data preprocessing, as well as the OLAP analysis. The last part is a data warehouse implementation within the electronic commerce system. The paper realizes the real-time data warehouse modeling on the web platform. ETL data processing...
Based on intelligent control technique, this paper carries on research on college financial intelligent system framework, financial analysis models, and financial analysis results and gives advices on stimulating the university informatization development.
According to the involved information which is dynamic and enormous in the current decision-making, this paper applies the data warehouse technique to build the structure of a decision assistant system. After that, the authors analyze and develop the data mining process in the built decision assistant system.
Aiming at a supermarket data, and draws up the data mining system of basic applications, according to the market marketing idea, advanced data warehouse and data mining tool SQL Server2005 and front-end development tool for developing platform, Excell designed supermarket data mining system framework.
Based on the data warehouse, data mining techniques, using the method of system, The paper analyzed the use of data mining strategy in enterprise financing decisions, Studied the financing decision system design goal, the function and the logic structure model, explored the data warehouse model and data mining model structure and realization method. It is found that heterogeneous data integration...
In data warehousing Gibbs Sampling is applied in missing value processing due to the many defects in the traditional methods. As long as Full Conditional Distribution Condition (FCDC) is met, Gibbs sampling can solve issues such as high workload and biased data. The method's high operability - it even can be completed in common used tool like Excel - makes it a practical method for real data preprocessing.
This paper suggests the structure of patent data integration and analysis based on business intelligence (BI) to help enterprises make the effective decisions about patent strategy and orientation of technological development by extracting effective information from mass data. Firstly, the patent data is acquired from heterogeneous data sources into the local database. Then, we can load the business...
The hypothesis of this work is that information systems development is possible with lower TCO (Total Cost of Ownership), if OLAP (On-Line Analytical Processing) data model is developed together with OLTP (On-Line Transaction Processing) data model and if those two models are in relation to each other. By using Model-Driven (MDA) development methods, that kind of combined model makes possible to deploy...
Web log files store data related to the use of a website. Analyzing these data in detail is therefore crucial for improving the user browsing experience. However, usually Web log data are stored in flat files in different formats which hinders their analysis, thus obliging to use specific Web log analysis tools. In this context, approaches for structuring Web log data to better analyze them are highly...
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