Related Information Systems Research Articles

An incremental approach to attribute reduction of dynamic set-valued information systems

Set-valued information systems are important generalizations of single-valued information systems. In this paper, three relations are proposed for attribute reduction of set-valued information systems. Then, we convert a large-scale set-valued information system into a smaller relation information system. An incremental algorithm is designed to compress dynamic set-valued information systems. Concretely, we mainly address the compression updating from three aspects: variations of attribute set, immigration and emigration of objects and alterations of attribute values. Finally, several illustrative examples are employed to demonstrate that attribute reduction of dynamic set-valued information systems are simplified significantly by our proposed approaches.

Improving patient care and safety in the community through technology

Introduction: The Central Community Care Access Centre (CCAC) in Ontario, Canada is leveraging technology to improve patient care and safety in the community by: • Implementing leading practices in e-health and health assessment technology to drive outcomebased care. • Enabling evidence-based decision-making through databases and software that systematically measure patient health status and outcomes. • Ensuring consistent, accurate patient information is available across the continuum of care with multiple health partners. These innovations reinforce system sustainability through efficiencies and value for dollar services. Aims and objectives Key examples: • Chaired provincial committee to implement the Client Health Related Information System (CHRIS) standardized database across Ontario’s CCACs, supported by mobile technology that enables care coordinators to work in patient’s home rather than CCAC office. • Implemented Resource Matching & e-Referral (RM&R) electronic health system with Central region hospitals, including first in Canada to automate referrals from emergency departments (ED) to community care. • Studied use of Resident Assessment Instrument for Home Care (RAI-HC) data to inform quality improvement through evidence-based care coordination. Used RAI-HC data to validate outcomes in leading practice initiatives and population health models. • Developed standardized in-home Medication Management Support Services (MMSS), backed by mobile technology and web-based software. • Partnered with Sunnybrook Health Sciences to pilot MyChartTM – a web-based personal health record that allows patients to access and manage selected health information from their CHRIS record. International Congress on Telehealth and Telecare 2013, London, July 01-03, 2013. 2 International Journal of Integrated Care –Volume 13, XX November –URN:NBN:NL:UI:10-1-115684– http://www.ijic.org/

Contribution of Ivan Gams to Slovenia’s Regional Geography and Regionalization

The Slovenian geographer Ivan Gams made his greatest research contribution in the second half of the twentieth century, when regional geography was primarily characterized by a decline in its theory and exceptional development of its methodology. In recent years, the role of thematic cartography and related geographic information systems has been strengthening, and the humanist(ic) component of regional geography has been emphasized. In Slovenia, regional geography gained new impetus with the country’s independence in 1991. Gams enriched Slovenian regional geography especially through various regionalization schemes for Slovenia and secondary-school textbooks, as the leader of a long-standing regional geography research project, and as an advisor to junior researchers in regional geography.

On the order-theoretic properties of lower concept formula systems

Domain Theory and Rough Set Theory are relatively independent but have much close relationship worthy of further investigation. In this paper, we propose the notion of (orientated) lower concept formula (for short, lcf) of relational information systems and study the order-theoretic properties of the derived lcf systems. Particularly, we show that every orientated lcf system is an algebraic lattice and conversely every algebraic lattice is order-isomorphic to the orientated lcf system of an appropriate relational information system. Moreover, we obtain the one-to-one correspondence between approximable mappings and Scott continuous functions. In addition, we investigate the connection between the orientated lcf systems on the relational information systems and the topped $$\bigcap $$ ? -structures on the lower concept lattices. Our results demonstrate the power of Rough Set Theory in studying domain structures.

FAST REAL TIME ANALYSIS OF WEB SERVER MASSIVE LOG FILES USING AN IMPROVED WEB MINING ARCHITECTURE

The web has played a vital role to detect the information and finding the reasons to organize a system. As the web sites were increased, the web log files also increased based on the web searching. Our challenge and the task are to reduce the log files and classify the best results to reach the task which we used. Aimed to overcome the deficiency of abundant data to web mining, the study proposed a path extraction using Euclidean Distance based algorithm with a sequential pattern clustering mining algorithm. First, we construct the Relational Information System using original data sets. Second, we here cluster the data by the Sequential Pattern Clustering Method for the data sets which make use of the data to produce Core of Information System. Web mining core data is the most important and necessary information which cannot reduce an original Information System. So it can get the same effect as original data sets to data analysis and can construct classification modeling using it. Third, we here used Sequential pattern clustering method with the help of Path Extraction. The experiment shows that the proposed algorithm can get high efficiency and avoid the abundant data in follow-up data processing.

Extracting correspondences between terminologies for an easier access to biomedical information

Extracting correspondences between terminologies for an easier access to biomedical information

Maintainability Prediction for Aircraft Mechanical Components Utilizing Aircraft Feedback Information

This paper attempts to utilise aircraft maintenance historical data and information for future aircraft design from the perspective of maintanability. Aircraft feedback information contains various types of information that could be used for future improvement rather than just the failure elements. The study shows that the aircraft maintenance related feedback information systems analyses were very useful for deciding maintainability effectiveness; these include planning, organising maintenance and design improvement. There is no doubt that historical data information has the ability to contribute with an important role in design activities. The results also show that maintainability is an importance measure that can be used as a guideline for managing efforts made for the improvement of aircraft components.

Rough set analysis of relational structures

In classical rough set theory, objects are partitioned into equivalence classes based on their attribute values, which essentially represent the functional information associated with the objects. Therefore, rough set theory can be viewed as a theory of functional granulation. In contrast, relational information systems (RISs) specify the relationships between objects, instead of their properties. This study presents a rough set analysis of relational structures, which are more general than functional information systems (FISs) and RISs. Unlike classical rough set theory, in which the attribute values of objects fully determine the indiscernibility relation, the rough set analysis of relational structures must account for the relationships between objects. This study considers three important concepts of indiscernibility with respect to relational structures: congruence, bisimulation, and exact equivalence. Using these indiscernibility relations, we investigate rough approximations and knowledge reduction. This study extends the application scope of rough set analysis from table-style information systems to relational structures. This extension is important because relational structures play a crucial role in the processing of complex data, such as graph mining or social network analysis.

New directions in health care and disability: the need for a shared understanding of human functioning

Human 'functioning' is about how people live on a day-to-day basis. This paper sets out the case for adopting a common language about functioning that would improve population health information and information sharing across health and community service systems. Modern health systems recognise the importance of human functioning in addition to diagnosis and disease prevention. 'Functioning' is important in the context of chronic disease, mental health, healthy ageing, and the right of people with disabilities and their carers to participate in society. We outline major directions in the health system and their relationship to the concept of functioning. The concept of functioning has not been used explicitly and consistently in Australian health and human service systems, which nevertheless deal with the 20% of the population who experience difficulties in functioning. The International Classification of Functioning, Disability and Health (ICF) is the international standard for definition, classification, information and measurement of functioning. While it has been partially implemented in Australia, it should be used more broadly, across health and community services, as the basis for information on functioning. This is an intended parallel to the use of the ICD as the standard classification and code list for disease monitoring and related health information systems. Monitoring health status and planning interventions and resources require information about people's functioning in their daily lives as well as their diseases. Such information should be based on the international standards developed for this purpose.

Improving marketing process using Six Sigma techniques (case of Saman Bank)

PurposeThe purpose of this paper is to highlight the significance of improvement of marketing process using Six Sigma methodology, in the context of a banking environment.Design/methodology/approachBased on Six Sigma's DMAIC model, the paper uses Define, Measure, Analyze, Improve and Control phases to study marketing process improvement in Saman Bank.FindingsResearch states the way concepts of marketing performance management relates to the improvement of a bank marketing process using Six Sigma. Low quality was observed in the process and then regarding customer relations as one of the main priorities, improvement actions were planned. A major marketing failure for the bank was decline of online banking usage, which justifies the importance of loyal online banking customers in marketing plans.Practical implicationsThis paper helps marketing departments in financial institutions to analyze their current performance and execute improvement actions to optimize their process. One fact in designing marketing improvement actions for banks is effectively using related information systems to organize the high amount of marketing data and to respond quickly to customer needs.Originality/valueMarketing performance measurement is done in a new way as the research describes how a general marketing process can adopt Six Sigma tools to have stronger customer relations, reduced marketing costs and how to prioritize improvement actions systematically.

마리나항만 건설과 저수지특별법 시행에 따른 수상레저스포츠 발전 방안

The purpose of this study is to analyze the present condition of the water leisure sports in accordance with the implementation of Marina Harbor Construction & Reservoir Special Act in order to present a development plan, and related data will be collected and analyzed to present a plan for revitalizing water leisure sports. As a plan to revitalize the water leisure sports, this study presented development of waterside resort, actualization of facilities standards, consideration of accessibility and convenience, harmonization with surrounding environment and promotion of cluster of water leisure industry for facility sector and reinforcement of PR by local governments, cultivation of professional managers, promotion of water leisure sports, development of marine sports related information system and reinforcement of safety awareness for the operation sector. As to the institution sector, it is required to promote development of waterside resort or revitalization of water leisure sports by adjusting contradicting matters between Tourism Promotion Act, Eastern, Western, Southern Coast & the Interior Development Special Act, Fishing Villages and Fishery Harbors Act, Maritime-Fisheries Development Act, Harbor Act, Marina Harbor Act, Water Leisure Safety Act and Foreshore Legislation.

A Data Preprocessing Algorithm for Classification Model Based On Rough Sets

Abstract Aimed to solve the limitation of abundant data to constructing classification modeling in data mining, the paper proposed a novel effective preprocessing algorithm based on rough sets. Firstly, we construct the relation Information System using original data sets. Secondly, make use of attribute reduction theory of Rough sets to produce the Core of Information System. Core is the most important and necessary information which cannot reduce in original Information System. So it can get a same effect as original data sets to data analysis, and can construct classification modeling using it. Thirdly, construct indiscernibility matrix using reduced Information System, and finally, get the classification of original data sets. Compared to existing techniques, the developed algorithm enjoy following advantages: (1) avoiding the abundant data in follow-up data processing, and (2) avoiding large amount of computation in whole data mining process. (3) The results become more effective because of introducing the attributes reducing theory of Rough Sets.

Telemedicine System Designed in Wireless Network Environment

Wireless telemedicine systems have been considered as an important industry in the future. Via a network of this study, many of the features was integrated with the telemedicine system, eg, a number of wireless measuring devices and related information systems, so that patients could have completed care at home or in hospital. In this experiment, we used 802.11g wireless network transmission protocol, and repeated experiment in the same area and to increasing the number of nodes in wireless network. Each wireless node is presented a patient to send out the same packet and data size, also the nodes could randomly move for simulating patients walking in environments. Then through analysis of packet reception rate, the first packet receive time, End to End delay time and throughput, to understand the fixed area can accommodate how many wireless nodes at the same time for transfer data; And telemedicine system still could response the physiological information in real time. It is expected to increase wireless telemedicine system performance of data transmission and save building costs.

An Association-Analysis Based Web Mining Preprocessing Algorithm

Aimed to overcome the deficiency of abundant data to web mining, the paper proposed an association-analysis based algorithm. Firstly, we construct the relation Information System using original data sets. Secondly, make use of attribute reduction theory of Rough sets to produce the Core of Information System. Core is the most important and necessary information which cannot reduce in original Information System. So it can get a same effect as original data sets to data analysis, and can construct classification modeling using it. Thirdly, construct indiscernibility matrix using reduced Information System, and finally, get the classification of original data sets. The experiments shows that the proposed algorithm can get high efficiency and can avoid the abundant data in follow-up data processing.

English

The objectives of this study were (i) to assess soil fertility quality changes in time and space using grey relational analysis (GRA) and geographic information systems (GIS) in the urban-rural transition zone of Beijing and (ii) to explore thevariation features of soil fertility under different land use types and soil management practices. The distribution map of soil fertility quality showed that soil fertility quality was best in the north, south, southeast and middle part of the district in 1980. The first-grade quality (I) was mainly in the southeast and the third-grade quality (III) was mainly in the north, south, northwest, east and middle part of the district. The area of first-grade quality (I) and the third-grade quality (III) increased from 79.17 to 120.10 km2 and from 111.59 to 184.53 km2 from 1980 to 2007, respectively, while the area of second-grade quality (II) decreased from 81.64 to 70.68% of the total land area from 1980 to 2007. The main factors influencing the spatial distribution of soil fertility quality were land use and soil management practices. The increasing trend of soil fertility quality might be attributed to the widespread practices of straw returning and organic manure applications. Key words: Soil fertility quality, spatial-temporal variability, geographic information systems (GIS), grey relational analysis (GRA), urban-rural transition zone, land use, soil management practices.

VEBLEN'S PLACEBO: ANOTHER HISTORICAL PERSPECTIVE ON ADMINISTRATIVE EVIL

Thorstein Veblen was a turn of the 20th century American economist concerned with the implications of financial capitalists directing the means of production. Veblen proposed that the rationality of “material science” as practiced by the “production engineers” is fundamentally different from the rationality of market capitalism. If this claim is valid, our previous contentions regarding accounting, as a facilitating technology, for administrative evil warrant reconsideration. Veblen's position provides a historical perspective on one dimension of administrative evil that is generally unquestionably accepted, especially within accounting. That is, technology, such as accounting and the related information systems, is amoral, and it is only through ideologically instigated applications that any moral value accrues. We discuss administrative evil and the role of instrumental rationality generally, and accounting specifically, in creating it. Veblen's characterization of financial capitalism and production engineers and his arguments for the primacy of economic efficiency versus “pecuniary gain” provide a basis for evaluating the legitimating action. We consider how Veblen's work relates to notions of instrumental rationality and then undertake a critical assessment of the ideas. Some of Veblen's ideas, while utopian, might be seen as an elixir for the detrimental influences of financial capital; however, at best, they provide a placebo for the ills of administrative evil and, as such, do not provide an amoral basis for legitimating the associated accounting systems.

Redesigning the supplier reporting process and system in public procurement case Hansel

In this paper, we report the findings of a supplier reporting system redesign project in a public organisation, Hansel Ltd., the central procurement unit of the Finnish Government. With the agency theory as the theoretical lense, the action design research (ADR) as the research method, and electronic invoicing as the facilitating technology, we identify and formulate design principles for building an effective and efficient supplier reporting process and the related information system. In addition to being useful for our case company, we illustrate how these design principles can be applied to a class of similar problems. With this study, we contribute to the knowledge on organisational and information systems design, as well as to the understanding of agency relationships and problems in the public sector.

Cybersquatting at the Intersection of Internet Domain Names and Trademark Law

This is a tutorial about the basic elements of domain name system and trademark law focussing on the interactions between them and specifically on the concept of cybersquatting. Cybersquatting is the registration (with the intent to profit) of a domain name that is the trademark of another. The tutorial reviews the structure of the domain name space and it's associated protocols as well as the legal context for trademarks and the recent advances for adjudication of disputes related to cybersquatting. Intermixed with the technical discussion, the paper also provides four rationales for engineers concerned with the design of communications protocols and related information systems to give consideration to aspects of law, in this case trademark law, that may impact the design or usage of these protocols and information systems. Some potential impacts of recent extensions proposed for the gTLD domain name space are also considered.

Development of an igneous rock database with geologic functions: Application to Neogene bimodal igneous rocks and mineral resources in the Great Basin

Abstract Geologists routinely use sample data (descriptive, qualitative, quantitative) to characterize a hierarchy of larger geologic features that each have their own independent attributes, use physical relationships between geologic features to establish their relative ages, combine this information with dated features to understand evolutionary histories of study areas at various scales, and produce maps to display such information in space and time relative to other features of interest. This paper demonstrates how we integrated such routine geologic functions into an existing igneous rock relational database designed to store, organize, update, query, and retrieve sample data that have well-defined locations. The resulting igneous rock database is utilized to capture information on Neogene bimodal igneous rocks in northern Nevada and the eastern Great Basin Province. The database is a useful tool that facilitates queries to generate geographical information system displays and petrologic plots that elucidate the time-space-composition relationships of volcanic centers to one another and to geophysical anomalies, structural features, and mineral deposits. Database information is parsed into the following data tables: physical hierarchy of scale, absolute and relative age, chemistry, paleomagnetic, rock mode, image, cross section, X-ray diffraction, and igneous-related structure. Information is organized in a telescoping geologic hierarchy schema: igneous province, volcanic field, volcanic system or caldera, extrusive flow or intrusion, sample, and various subsamples. Absolute radiometric age determinations on samples from geologic features and expert interpretations of relative age relationships between different features may be captured and used together to constrain the ages of undated features. Such age information is linked to features of various scales in the hierarchy. Common attributes that are shared between the relational database and geographic information system (GIS) features include feature-identification or sample-identification, and they permit linking of geographic entities and tabular data for query, analysis, and display in GIS or derivative tables. Relational database keys merge analytical, map, and image data across this geologic hierarchy-age-location schema to facilitate queries that address geologic problems. Data acquired at the sample scale of observation is linked to increasingly larger features that have their own independent attributes using GIS. This schema enables users to retrieve information on one or more hierarchical features for input into external software for various GIS, statistical, petrologic, and other display, analysis, or comparison purposes. Fundamental interpretations resulting from such analyses or displays, e.g., rock classification, may be used to populate additional fields in the database. The database is designed for flexibility and can accommodate information resulting from both detailed and reconnaissance studies. The geologic functions that were developed and that we added to an existing igneous rock database (Lehnert et al., 2000) for this study have wide applicability and could readily be integrated into other geoscience databases.

AITP NCC BI GIS COMPETITION: A BI CASE PERSPECTIVE

A national competition problem in business intelligence (BI) is considered to provide an understanding of this competition and the case study problem used. This competition utilizes a commercially available, hosted software application that includes a rich econometric data set. The data are accessed using spatial queries and produce more than four dozen views of the data through predefined reports. Once the queries occur, the data can be analyzed further with other BI tools that include Microsoft Excel. The competition problem requires this analysis of external business data to furnish information for business decision making. This competition has been successful for the past four years. The experience of this competition can be applied to case-based, experiential learning in decision support systems and related information system courses that include a BI component. This usage of the competition problem has been found to work well in several of these courses and should be considered by others for similar courses.