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Summary: Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp, a short but intensive overview, explains what big data is and how you can use it in your company to become one of tomorrow?s market leaders. Along the way, it explains the very latest technologies, companies, and advancements. Big data holds the keys to delivering better customer service, offering more attractive products and marketing them better, and unlocking innovation. That's why, to remain competitive, every organization should become a big data company. It's also why every manager and technology professional should become knowledgeable about big data and how it is transforming not just their own industries but the global economy. And that knowledge is just what this book delivers. It explains components of big data like Hadoop and NoSQL databases; how big data is compiled, queried, and analyzed; how to create a big data application; and the business sectors ripe for big data-inspired products and services like retail, healthcare, finance, and education. Best of all, your guide is David Feinleib, renowned entrepreneur, venture capitalist, and author of Why Startups Fail. Feinleib?s Big Data Landscape, a market map featured and explained in the book, is an industry benchmark that has been viewed more than 150,000 times and is used as a reference by VMWare, Dell, Intel, the U.S. Government Accountability Office, and many other organizations. Feinleib also explains: Why every businessperson needs to understand the fundamentals of big data or get run over by those who do. How big data differs from traditional database management systems How to create and run a big data project The technical details powering the big data revolution Whether you?re a Fortune 500 executive or the proprietor of a restaurant or web design studio, Big Data Bootcamp will explain how you can take full advantage of new technologies to transform your company and your career.

Summary: Data Storage and Information Systems in libraries is a book which introduces the concept of libraries including its history, ancient stone libraries, its types and many more. An overview on the data storage systems and the relation of internet and the library has been provided with the help of this book.

Information Systems Governance has been studied by scholars and practitioners under different angles. Various research streams have been enrolled in these researches. Despite their richness, there has been no study that really considers the IS governance in a holistic way and that covers all the angles of view. This paper is an attempt to address this gap and to propose a model that provides a unifying holistic view of the IS governance based: GUMM ″Governance Unified Meta Model″. [ABSTRACT FROM AUTHOR]

This paper will present a need to create integrated information systems of the rail transport and their links with other means of public transportation. IT standards will be discussed that are expected to create the integrated information systems of the rail transport. Also the main tasks will be presented of centralized information systems, the concept of their architecture, business processes and their implementation as well as the proposed measures to secure data. A method shall be proposed to implement a system to inform participants of rail transport in Polish conditions. [ABSTRACT FROM AUTHOR]

The integrated risk management of construction project must be based on the information system. The paper presented the frame of integrated risk management information system, which was composed of three subsystems: risk management subsystem, risk management database and external support subsystem. The content and the function of all the subsystems were elaborated and the relationship between information system and the external system was explained. Based on the hierarchical risk breakdown structure, the field and coding of risk database are designed. The information system could provide risk management platform for the project participants, accelerate the information flow and implement the integrated risk management. [ABSTRACT FROM AUTHOR]

This paper presents the applicability of soft set theory for discovering a decision attribute in information systems. It is based on the notion of a mapping inclusion in soft set theory. The proposed technique is implemented with example test case and one UCI benchmark data; US Census 1990 dataset. The results from test case show that the selected decision attribute is equivalent to that under rough set theory. [ABSTRACT FROM AUTHOR]

The MISE Project (Mediation Information System Engineering) aims at providing virtual enterprises with a Mediation Information System (MIS) in charge of supporting interoperability in a collaborative network. MISE proposes an overall MIS design method according to a model-driven approach, based on model transformations. This MIS is in charge of (i) information management, (ii) services sharing and (iii) behavior orchestration. Semantic issues are accompanying those objectives: How to deal with information reconciliation? How to ensure the matching between business activities and technical services? How to identify workflow among business process? This article aims first, at defining these semantic gaps along the whole MISE approach. The second part of this article presents how some specific solutions have been found in the specific context of crisis management (French funded project ISyCri). Finally, the current and future works concerning semantic reconciliation (in a generic non « 1 to 1 » context) will be introduced. [ABSTRACT FROM AUTHOR]

Dependent people (especially the elderly) are nowadays surrounded by various health services, as well as by social and multi-technology monitoring devices. The PASPORD research project focuses on improving the management of processes involved in home care. These processes are known to be collaborative: their activities spread over different organizations, are carried out by diverse health or logistical actors. These activities must be coordinated by an integrated system, which is the purpose of the present project. However, the deployment of such a process takes place in a very dynamic and uncertain environment. In this paper, we seek to characterize and model this complex process. On the basis of its features, we define the principles of a system architecture to support the collaboration between the stakeholders and provide agility to overcome difficulties induced by its specificity. [ABSTRACT FROM AUTHOR]

The author is carrying out technology studies to explore and expand human emotions, sensibility, and consciousness by making innovative use of artistic creativity. We develop interfaces for experiencing and expressing the "essence of culture″ such as human feelings, ethnicity, and story. History has shown that human cultures have common and unique forms such as behavior and grammar. We suggest a computer model for that process and a method of interactive expression and experiencing cultural understanding using IT called "cultural computing". We particularly examine Japanese culture, although it is only a small subject of computing. [ABSTRACT FROM AUTHOR]

It is necessary to build animal disease information system in order to dynamically monitor and predict diseases distribution, and propagation, such as HPAI and FMD taking place, Powerful functions of data management analysis and display with the GIS can be applied oriented to animal disease information. This disease information platform can be applied to dynamiclly monitor and predict disease, as well as to support the disease prevention decision making, in order to decrease the loss. [ABSTRACT FROM AUTHOR]

This paper reports work done in conceptualizing, developing and testing of a mobile phone based graphical user interface (GUI) package targeted at users from the construction industry. System analysis and information design principles were adopted during the development processes. Starting from user requirements based on field studies the development of graphic icons and their testing has been outlined. In addition to integrating individual icons into a GUI, coding and loading the application on a mobile phone has been done to enable testing of the GUI prototype. Users from the construction trade (sample size = 29), randomly selected, were asked to evaluate the designed icons in terms of their acceptance, adaptability and learnability aspects. It was found that learnability of the new GUI was more dependent on age and education level of the user rather than on the length of prior experience they had with mobile phones in general. The length of experience of using mobiles may not be an indicator of learnability in new applications for such user segments due to rapid rise in `digital literacy΄ levels amongst semi literate users. [ABSTRACT FROM AUTHOR]

The basic concept of attribute reduction in Rough Sets Theory (RST) and the idea of Particle Swarm Optimization(PSO) are briefly combined. A new reduction algorithm based on PSO is developed. Furthermore, the thought of Cache is introduced into the proposed method, which reduces the algorithm complexity effectively, The experimental results demonstrate that the algorithm is simple and viable. [ABSTRACT FROM AUTHOR]

Starting point of rough set based data analysis is a data set, called an information system, whose columns are labeled by attributes, rows are labeled by objects of interest and entries of the table are attribute values. In fact, hierarchical attribute values exists impliedly in many real-world applications, but it has seldom been taken into consideration in traditional rough set theory and its extensions. In this paper, each attribute in an information system is generalized to a concept hierarchy tree by considering hierarchical attribute values. A hierarchical information system is obtained, it is induced by generalizing a given flat table to multiple data tables with different degrees of abstraction, which can be organized as a lattice. Moreover, we can choose any level for any attribute according to the need of problem solving, thus we can discovery knowledge from different levels of abstraction. Hierarchical information system can process data from multilevel and multiview authentically. [ABSTRACT FROM AUTHOR]

Combining the concept of attribute dependence and attribute similarity in rough sets, the pruning ideas in the attribute reduction was proposed, the estimate method and fitness function in the processing of reduction was designed, and a new reduction algorithm based on pruning rules was developed, the complexity was analyzed, furthermore, many examples was given. The experimental results demonstrate that the developed algorithm can got the simplest reduction. [ABSTRACT FROM AUTHOR]

We assume that there is a group of collaborating agents where each agent is defined as an Information System coupled with a Query Answering System (QAS). Values of attributes in an information system S form atomic expressions of a language used by the agent associated with S to communicate with other agents. Collaboration among agents is initiated when one of the agent΄s, say the one associated with S and called a client, is asked by user to resolve a query containing nonlocal attributes for S. Then, the client will ask for help other agents to have that query answered. As the result of this request, knowledge in the form of defnitions of locally foreign attribute values for S is extracted at information systems representing other agents and sent to the client. The outcome of this step is a knowledge-base KB created at the client site and used to answer the query. In this paper we present a method of identifying which agents are semantically the closest to S and show that the precision and recall of QAS is getting increased when only these agents are ask for help by the client. [ABSTRACT FROM AUTHOR]

Interoperable EHR (Electronic Health Record) necessitates at least the use of standardized medical terminologies. This paper describes a medical terminology server, LexCare Suite, which houses terminology management applications, such as a terminology editor, and a terminology repository populated with international standard terminology systems such as Systematized Nomenclature of Medicine (SNOMED). The server is to satisfy the needs of quality terminology systems to local primary to tertiary hospitals. Our partner general hospitals have used the server to test its applicability. This paper describes the server and the results of the applicability test. [ABSTRACT FROM AUTHOR]

ARES System was a data analysis tool supporting Rough Set theory. It has been expanded to cover other approaches like Emerging Patterns and Support Vector Machine. A special feature of ARES System is ability to identify exceptional objects within information systems by using credibility coefficients. The credibility coefficient is a measure, which attempts to weigh up a degree of typicality of each object in respect to the rest of information system. The paper presents an idea of credibility coefficients based on SVM approach. The new coefficients are compared with the others ones available in the ARES System. [ABSTRACT FROM AUTHOR]

This paper presents the applicability of soft set theory for discovering attribute dependency in multi-valued information systems. The proposed approach is based on the notion of multi-soft sets. An inclusion of value sets in soft set theory is used to discover degree of attributes dependency. The results obtained are equivalent to the rough attributes dependency. [ABSTRACT FROM AUTHOR]

Knowledge is increasingly playing a key role in achieving organizational success in modern organizations notably in leveraging core business competencies, accelerating innovation and time to market, improving cycle times and decision making, strengthening organizational commitment, and building sustainable competitive advantage. To acknowledge the critical role of knowledge in modern organizations, knowledge management has emerged as a scientific discipline. Nevertheless, the dominant view of knowledge management is overly tidy since it considers that knowledge management is technology oriented and sees it primarily as an integrated approach to identifying, retrieving, capturing, storing and sharing organization΄s information assets. This mechanistic and input-oriented view of knowledge management is the main cause of the failure of many knowledge management systems built within modern organizations. We think that the well-known input-oriented and mechanistic knowledge management approach has to be improved in order to facilitate building effective knowledge management systems which help modern organizations in their search of continuous and sustainable competitive advantage. The needed improvements require firstly, the identification of the differences between information systems and knowledge management systems and secondly, the description of their roles within modern organizations. In this paper, we propose a framework, based on the Popper΄s three worlds theory, which explains the complementary roles of information systems and knowledge management systems. [ABSTRACT FROM AUTHOR]

Ecosystems are complex associations of entities integrated in an abiotic environment. In this environment emergence arises from intra and inters specific relationships between entities, with interaction along the levels and interactions with an abiotic environment, throughout space and time. Ecosystem and complexity theory is used to support a meta-model that relies on the patterns emergence based approach. The purpose of this paper is presenting pattern΄s emergence approach as a way for designing a meta-model that makes possible dynamical adjust between information systems architectures and organization needs. From this approach, a key ecosystem characteristics, adaptation, emerges as the key factor for dynamical development of information system architecture. [ABSTRACT FROM AUTHOR]

Software development includes number of different type of meetings in the whole development process. The cognitive activities also play an important role in decision making activities in these meetings since they are carried out by human being. In this paper, we evaluated the relevance of meetings in different phases of the software development process with reference to cognitive aspects. [ABSTRACT FROM AUTHOR]

ARES System is an application dedicated to data analysis supported by Rough Set theory. Currently the system is expanded by such approaches as Emerging Patterns and Support Vector Machine. A unique feature of ARES System is applying credibility coefficients to identify improper objects within information systems. The credibility coefficient is a measure, which attempts to assess a degree of typicality of each object in respect to the rest of information system. The paper presents a concept of credibility coefficients in context of hybrid artificial intelligence systems combined on ARES System platform. Ordinal credibility coefficient supports aggregation of number incomparable credibility coefficients based on different approaches. [ABSTRACT FROM AUTHOR]

Due to recent development in Ubiquitous Healthcare now it΄s time to build such application which can work independently and with less interference of Physician. In this paper we are try to build the whole architecture of personal Healthcare information system for ubiquitous healthcare which also included Middleware, existing between application GUI and data source. To build this application we studied several existing application and ongoing projects and tried to build an architecture which can be appropriate to handle necessary information related to healthcare of individuals. We already succeed to design a prototype of Ubiquitous Healthcare Data Analysis and Monitoring Using Multiple Wireless Sensors for Elderly Person at home. Our proposed architecture will also provide diagnoses report to the doctors for further instructions. The diagnoses report will consist of healthcare data analysis results and history of patient. We have considered healthcare data like ECG, Accelerometer and temperature for experiment, which are important as a basic health need. [ABSTRACT FROM AUTHOR]

A reduct is a subset of attributes that are jointly sufficient and individually necessary for preserving a particular property of a given information system. The existing reduct approaches under soft set theory are still based on Boolean-valued information system. However, in the real applications, the data usually contain non-Boolean valued. In this paper, an alternative approach for attribute reduction in multi-valued information system under soft set theory is presented. Based on the notion of multi-soft sets and AND operation, attribute reduction can be defined. It is shown that the reducts obtained are equivalent with Pawlak΄s rough reduction. [ABSTRACT FROM AUTHOR]

In many cases enterprise models are considered as a part of enterprise knowledge. This paper examines the status of enterprise model as an artifact that is a part of organizational information system. In this view, the enterprise models are a part of information flow in the organization, and in their static state can be regarded as data rather than knowledge. This view helps to understand why the usability of enterprise models is still quite low in spite of the availability of powerful and sophisticated enterprise modeling tools and environments that allow to construct, analyze, maintain, configure, and integrate different types of models and even generate code and configure software subsystems on the bases of models amalgamated in the tools. [ABSTRACT FROM AUTHOR]

[Context & motivation] The need of organizational modelling during the requirements engineering process of an information system has been widely acknowledged, and business process modelling can be considered a must. Nonetheless, the specification of functional requirements can be inadequate if business processes are not properly analysed so as to elicit these requirements. [Question/problem] There is a gap between business processes and functional requirements that must be bridged in order to specify the functional requirements of an information system. In addition, means of precisely and homogeneously elicit these requirements from business processes are necessary. [Principal ideas/results] The goals of this paper are: 1) to present an approach that provides methodological guidance to properly specify functional requirements from business processes; and 2) to report on practical experience using the approach. The approach is based on the analysis and graphical enrichment of BPMN diagrams for the elicitation and specification of functional requirements in the form of task descriptions, and it has been applied in field trials with a software development company. [Contribution] The main contributions of the paper are: 1) the extension of BPMN for proper elicitation of task descriptions; 2) the provision of detailed guidance in order to adequately use BPMN diagrams for the specification of task descriptions; and 3) the presentation of the lessons learnt by using the approach. [ABSTRACT FROM AUTHOR]

The aim of the chapter is to give the basic principles and issues of extensions of information and dynamic information systems. Information systems are understood in the Pawlak΄s sense as the systems of knowledge representation. The extensions of information and dynamic information systems can be used in prediction problems. Assuming that objects of an information system represent states of a system of processes we can determine possibility of appearing new states in the system of processes in the future. Analogously, assuming that a dynamic information system includes, among others, information about transition between states of a system of processes, we can determine possibility of appearing new transitions between states in the future. [ABSTRACT FROM AUTHOR]

This paper discusses system consequence, a central idea in the project to lift the theory of information flow to the abstract level of universal logic and the theory of institutions. The theory of information flow is a theory of distributed logic. The theory of institutions is abstract model theory. A system is a collection of interconnected parts, where the whole may have properties that cannot be known from an analysis of the constituent parts in isolation. In an information system, the parts represent information resources and the interconnections represent constraints between the parts. System consequence, which is the extension of the consequence operator from theories to systems, models the available regularities represented by an information system as a whole. System consequence (without part-to-part constraints) is defined for a specific logical system (institution) in the theory of information flow. This paper generalizes the idea of system consequence to arbitrary logical systems. [ABSTRACT FROM AUTHOR]

The implementation and adoption of enterprise resource planning (ERP) system is currently a key issue for companies. The critical problem of implementing and adopting ERP system is that the system architectures are quite complex. This study focuses on the integration of the human factors issues in the ERP implementation process. The mental or cognitive differences between information systems concerning people and end users are compared in this study based on information related theories. This paper proposes a human-centered system implementation and adoption model. The main purpose of this model is to assist the ERP system implementation and adoption and creates maximum customer value. The paper shows how to carry out the model step by step with the final goal of increasing the efficiency and acceptability of the system to be implemented and adopted. [ABSTRACT FROM AUTHOR]

The aim of this paper is to discussed the potential of the new and emerging solutions that might be successfully applied for improvement of manufacturing system management in highly volatile environment of today΄s global economy. In order to remain competitive in the market manufacturing companies have to provide a quick-response to crisis economy shifts. Authors discuss the conditions that have to be met by new standards of IT systems supporting the operations management. The main characteristics of new IT solutions are defined. [ABSTRACT FROM AUTHOR]

The edutain@grid European project [1] is developing a support platform for deployment, management and execution of Real-Time Online Interactive Applications (ROIA) on Grid. In this paper we present an information system designed by the edutain@grid project which provides support for ROIA deployment and monitoring, and offers a generic frontend for ROIA-specific optimisations. We conduct a variety of experiments that justify various decisions of our design, and investigate the performance and scalability of our system with respect to various types of queries. [ABSTRACT FROM AUTHOR]

The Air Traffic System is composed of many superimposed complex flows structures following power-law distributions. We try to show that Air Traffic System flows such as airport and air traffic flows are bundles of refracted paths, which owe their global shape to the maximization of flow access, in accordance with the Constructal law. We investigate in parallel the development and evolution of Information Systems, which appear to follow the same underlying principle dictating the emergence of optimal airport architectures or street network geometries, with the apparition of typical tree shaped geometries, multiple scales architectures, self similarity, and power-law distribution in Information networks. The development in the last decades of approaches such as Emergent Design, Service Oriented Architecture, and sustainable management of Information System in general is then considered from the Constructal point of view. [ABSTRACT FROM AUTHOR]

The spatio-temporal information is becoming more popular day by day. Well known web services (google maps, virtual earth...) make this type of information available to the public. On the other hand the Web is tending to the Semantic Web. The OWL language, the ontology description language the Semantic Web is based on, lacks some of the desired features for representing spatio- temporal information. We have developed an OWL extension which tries to encompass this issue. In this work we focus on how the OWL language has been extended in order to consider properties for defining taxonomies. [ABSTRACT FROM AUTHOR]

Changes in the business process usually require changes in the computer supported information system and, vice versa, changes in the information system almost always cause at least some changes in the business process. In many situations it is not even possible to detect which of those changes are causes and which of them are effects. Nevertheless, it is possible to identify a set of changes that usually happen when one of the elements of the set changes its state. These sets of changes may be used as patterns for situation analysis to anticipate full range of activities to be performed to get the business process and/or information system back to the stable state after it is lost because of the changes in one of the elements. Knowledge about the change pattern gives an opportunity to manage changes of information systems even if business process models and information systems architecture are not neatly documented as is the case in many SMEs. Using change patterns it is possible to know whether changes in information systems are to be expected and how changes in information systems activities, data and users will impact different aspects of the business process supported by the information system. [ABSTRACT FROM AUTHOR]

This paper addresses an well-balanced menu planning by using fuzzy mathematical programming and rough set theory. Recently, lifestyle-related disease has been assumed as a critical problem in Japan. The cause of this problem has been considered to be westernization of eating habit, nutritional imbalance and shortage of exercise. Now Japanese government has cared about this social situation, so some public health measures have been established and various researches about nutritional information and dietary balance have appeared which expects the effect of health. In this paper, well-balanced menus corresponding to each user's favorite are obtained by the rough set theory. On rough set procedure, some invisible elements are visualized by our rough set model i.e., it takes notice of the visualization of nutritional information which hid behind a user's favorite. Each user's characteristic is grasped by rough set and effective menus for each user are presented. Here one menu consists of one or more dishes with various diets, and this combination is given by the rough set. All dishes have some information, including affinity with cooking, various groups, and etc. After filling all constraints, such as the affinity of cooking, and group composition, well-balanced menus are introduced. About menu planning, this paper gives the fuzzy mathematical programming. After filling constraints such as the affinity of cooking, and the group composition, the well-balanced menus to take more nutrients are created. [ABSTRACT FROM AUTHOR]

In this paper, we mainly discuss the relationship between the extended Pawlak flow graph (EFG) with granular computing (GrC), and develop a both simple and concrete model for EFG using GrC. The distinct advantage is that we can resort to merits of GrC to benefit us in analyzing and processing data using flow graph, for its structure is inherently consistent with GrC, which provides us with both structured thinking at the philosophical level and structured problem solving at the practical level. In pursuit of our purpose, at first, EFG will be mainly discussed in three aspects under GrC, namely, granulation of EFG, some relationships and operations of granules. Under the framework of GrC model, inference and reformation in EFG can be easily implemented in virtue of decomposition and composition of granules, respectively. Based on this scheme, two efficient reduction algorithms about EFG are also proposed. [ABSTRACT FROM AUTHOR]

In this paper, we discuss an approach to structural objects based on a generalisation of indiscernibility relation used in rough set theory. The existing results in rough set theory are based on the assumption that objects are perceived by attribute value vectors. We propose the new point of view on rough set theory. We replace information systems with the knowledge representation models that incorporate information relative to the structure of objects. We redefine the indiscernibility relation as a relation on objects characterised by some axioms. Such a definition can be naturally applied for information systems with missing values and multivalued attributes. We extend the approach on structural objects. We introduce the meaning representation language for expressing properties of structural objects and we show how to select relevant formulae from this language for sequential data. [ABSTRACT FROM AUTHOR]

This paper introduces Antares, a bio-inspired algorithm that exploits ant-like agents to build a P2P information system in Grids. The work of agents is tailored to the controlled replication and relocation of metadata documents that describe Grid resources. These descriptors are indexed through binary strings that can either represent topics of interest, specifically in the case that resources are text documents, or be the result of the application of a locality preserving hash function, that maps similar resources into similar keys. Agents travel the Grid through P2P interconnections and, by the application of ad hoc probability functions, they copy and move descriptors so as to locate descriptors represented by identical or similar keys into neighbor Grid hosts. The resulting information system is here referred to as self-structured, because it exploits the self-organizing characteristics of ant-inspired agents, and also because the association of descriptors to hosts is not pre-determined but easily adapts to the varying conditions of the Grid. This self-structured organization combines the benefits of both unstructured and structured P2P information systems. Indeed, being basically unstructured, Antares is easy to maintain in a dynamic Grid, in which joins and departs of hosts can be frequent events. On the other hand, the aggregation and spatial ordering of descriptors can improve the rapidity and effectiveness of discovery operations, and also enables range queries, which are beneficial features typical of structured systems. [ABSTRACT FROM AUTHOR]

In the paper we present the definition of Pawlak΄s model of an information system. The model covers information systems with history, systems with the decomposition of objects or attributes and dynamical information systems. Information systems are closely related to rough set theory and decision support systems. The aim of the paper is to characterize the stimulated by Professor Pawlak research of the group in Silesian University in information retrieval based on different information systems and in decision support based on rough sets, and to outline the current research projects of this group on modern decision systems. [ABSTRACT FROM AUTHOR]

In this paper, we present our Fun algorithm for discovering minimal sets of conditional attributes functionally determining a given dependent attribute. In particular, the algorithm is capable of discovering Rough Sets certain, generalized decision, and membership distribution reducts. Fun can operate either on partitions of objects or alternatively on stripped partitions, which do not store singleton groups. It is capable of using functional dependencies occurring among conditional attributes for pruning candidate dependencies. In this paper, we offer further reduction of stripped partitions, which allows correct determination of minimal functional dependencies provided optional candidate pruning is not carried out. In the paper we consider six variants of Fun, including two new variants using reduced stripped partitions. We have carried out a number of experiments on benchmark data sets to test the efficiency of all variants of Fun. We have also tested the efficiency of the Fun΄s variants against the Rosetta and RSES toolkits΄ algorithms computing all reducts and against Tane, which is one of the most efficient algorithms computing all minimal functional dependencies. The experiments prove that Fun is up to 3 orders of magnitude faster than the the Rosetta and RSES toolkits΄ algorithms and faster than Tane up to 30 times. [ABSTRACT FROM AUTHOR]

Business aviation has been popular in the United States, Europe, and South America, however, top economies in East Asia, including Japan, Korea, and Taiwan, have been more conservative and lag behind in the development of business aviation. In this paper, we hope to discover possible trends and needs of business aviation for supporting the government to make decision in anticipation of eventual deregulation in the near future. We adopt knowledge-discovery tools based on rough set to analyze the potential for business aviation through an empirical study. Although our empirical study uses data from Taiwan, we are optimistic that our proposed method can be similarly applied in other countries to help governments there make decisions about a deregulated market. [ABSTRACT FROM AUTHOR]

Granular computing has impact on development methods in such areas as knowledge discovery and data mining. This paper firstly presents a new axiomatic definition of knowledge granularity, then gives a series of methods of measuring knowledge granularity including concrete measurements lacking parameters and general measurements with parameters. Furthermore, several combinatorial forms of different granularity formulas are described. The principal results seem to have some theoretic and applied value to build granularity computation in information system. [ABSTRACT FROM AUTHOR]

Security is a major target for today΄s information systems (IS) designers. Security modelling languages exist to reason on security in the early phases of IS development, when the most crucial design decisions are made. Reasoning on security involves analysing risk, and effectively communicating risk-related information. However, we think that current languages can be improved in this respect. In this paper, we discuss this issue for Secure Tropos, the language supporting the eponymous agent-based IS development. We analyse it and suggest improvements in the light of an existing reference model for IS security risk management. This allows for checking Secure Tropos concepts and terminology against those of current risk management standards, thereby improving the conceptual appropriateness of the language. The paper follows a running example, called eSAP, located in the healthcare domain. [ABSTRACT FROM AUTHOR]