A logic approach for exceptions and anomalies in association rules

Association rules have been used for obtaining information hidden in a database. Recent researches have pointed out that simple associations are insu cient for representing the diverse kinds of knowledge collected in a database. The use of exceptions and anomalies deal with a di erent type of knowledge sometimes more useful than simple associations. Moreover ex- ceptions and anomalies provide a more comprehensive understanding of the information provided by a database. This work intends to go deeper in the logic model studied in [5]. In the model, association rules can be viewed as general relations between two or more attributes quanti ed by means of a convenient quanti er. Using this formulation we establish the true semantics of the distinct kinds of knowledge we can nd in the database hidden in the four folds of the contingency table. The model is also useful for providing some measures for assessing the validity of those kinds of rulesPeer Reviewe

An endorsement-based approach to student modeling for planner-controlled intelligent tutoring systems

An approach is described to student modeling for intelligent tutoring systems based on an explicit representation of the tutor's beliefs about the student and the arguments for and against those beliefs (called endorsements). A lexicographic comparison of arguments, sorted according to evidence reliability, provides a principled means of determining those beliefs that are considered true, false, or uncertain. Each of these beliefs is ultimately justified by underlying assessment data. The endorsement-based approach to student modeling is particularly appropriate for tutors controlled by instructional planners. These tutors place greater demands on a student model than opportunistic tutors. Numerical calculi approaches are less well-suited because it is difficult to correctly assign numbers for evidence reliability and rule plausibility. It may also be difficult to interpret final results and provide suitable combining functions. When numeric measures of uncertainty are used, arbitrary numeric thresholds are often required for planning decisions. Such an approach is inappropriate when robust context-sensitive planning decisions must be made. A TMS-based implementation of the endorsement-based approach to student modeling is presented, this approach is compared to alternatives, and a project history is provided describing the evolution of this approach

Briefly on the GUHA method of data mining, Journal of Telecommunications and Information Technology, 2003, nr 3

The paper gives brief, user-oriented, information on the GUHA method

Populism and Foreign Policy: The Case of India

What kind of foreign policy do populists execute once in power? Based on the existing literature, we conceptualize populism as a set of ideas whose two core elements are anti-elitism and antipluralism. From this we develop a set of hypotheses regarding both substantive aspects of foreign policy as well as foreign policy-making processes of populist leaders in government. An analysis of Indian Prime Minister Narendra Modi's foreign policy record serves as a first plausibility probe of our hypotheses. We find that our concept of populism carries most explanatory value in the procedural aspects of foreign policy making as well as in its communication, less so in those aspects relating to the goals or substance of foreign policy. Whereas foreign policy under Modi's populist leadership is highly centralized and personalized, the traditional foreign policy establishment, including most notably the Ministry of External Affairs, has lost some of its previous authority. Engaging the Indian diaspora abroad emerged as another characteristic of populist foreign policy making. By contrast, the case of India does not confirm our hypothesis regarding a preference of bilateralism over multilateralism, nor does populism necessarily preclude investing in global public goods

Antecedents of low carbon emissions supply chains

Purpose: A low-carbon economy is the pressing need of the hour. Despite several efforts taken by the government and large corporations, there is still research to be conducted exploring the role of top management commitment in translating external pressures into responses that help to build low-carbon emissions in supply chains. Design/methodology/approach: The authors have grounded their framework in institutional theory, agency theory and contingency theory. On the basis of existing literature, four hypotheses were drawn. To test these hypotheses, a questionnaire was developed and pre-tested. Finally, statistical analyses were performed to test the research hypotheses using 176 samples gathered using a pre-tested questionnaire following Dillman’s (2007) total design test method. Findings: The results suggest that coercive pressures and mimetic pressures under the mediating effect of top management commitment have a significant influence on organizational response to low-carbon emissions. The authors further note that supply base complexity has moderating effects on the link between top management commitment and organizational response towards low-carbon emissions. Originality/value: This study offers valuable insights to those managers and environmental consultants who view supply base complexity as a limitation. However, the results indicate that supply base complexity may help to enhance the effectiveness of the top management commitment on organizational response towards low-carbon emissions

Stakeholder attributes and approaches in natural disaster risk management in the built environment: the case of flood risk management in transport infrastructure

The increasing number of natural disasters has demonstrated the importance of natural disaster risk management. There is little consensus regarding the role of stakeholder attributes in reducing flood damage and explaining stakeholder approaches. Local Councils are important stakeholders in flood risk management in transport infrastructure. Hence, the characteristics of floods, Local Councils’ stakeholder attributes, and the exposure and vulnerability of the socio-economic and transport infrastructure were contextualised to examine flood damage and Local Councils’ proactive and reactive approaches. This study examines three dominant Local Councils’ stakeholder attributes of power, legitimacy and urgency by focusing on flood damage and Local Councils’ proactive and reactive approaches. Data was collected from historical archive databases and a structured questionnaire survey involving Local Councils in New South Wales, Australia that covered the time period from 1992 to 2012. This data was analysed using multi-attribute decision-making and structural equation modelling with partial least square estimation approaches. The results show that the exposure and vulnerability of Australian states and territories to flood damage depend on both socio-economic and built environment conditions. The greater the flood characteristics such as frequency, severity and type, the greater the flood damage. The exposure and vulnerability of socio-economic and transport infrastructure of a Local Council have mediating effects on the direct relationship between their stakeholder attributes and flood damage. Proactive and reactive approaches by Local Councils are highly affected by stakeholder attributes. The developed stakeholder disaster response index shows that Local Councils have practised more reactive approaches than proactive approaches. Policy makers might use the stakeholder disaster response index through continuous assessment of proactive and reactive approaches to achieve a high level of flood risk management

Stakeholder attributes and approaches in natural disaster risk management in the built environment: the case of flood risk management in transport infrastructure

The increasing number of natural disasters has demonstrated the importance of natural disaster risk management. There is little consensus regarding the role of stakeholder attributes in reducing flood damage and explaining stakeholder approaches. Local Councils are important stakeholders in flood risk management in transport infrastructure. Hence, the characteristics of floods, Local Councils’ stakeholder attributes, and the exposure and vulnerability of the socio-economic and transport infrastructure were contextualised to examine flood damage and Local Councils’ proactive and reactive approaches. This study examines three dominant Local Councils’ stakeholder attributes of power, legitimacy and urgency by focusing on flood damage and Local Councils’ proactive and reactive approaches. Data was collected from historical archive databases and a structured questionnaire survey involving Local Councils in New South Wales, Australia that covered the time period from 1992 to 2012. This data was analysed using multi-attribute decision-making and structural equation modelling with partial least square estimation approaches. The results show that the exposure and vulnerability of Australian states and territories to flood damage depend on both socio-economic and built environment conditions. The greater the flood characteristics such as frequency, severity and type, the greater the flood damage. The exposure and vulnerability of socio-economic and transport infrastructure of a Local Council have mediating effects on the direct relationship between their stakeholder attributes and flood damage. Proactive and reactive approaches by Local Councils are highly affected by stakeholder attributes. The developed stakeholder disaster response index shows that Local Councils have practised more reactive approaches than proactive approaches. Policy makers might use the stakeholder disaster response index through continuous assessment of proactive and reactive approaches to achieve a high level of flood risk management

Curse or Blessing? Exploring risk factors of digital technologies in industrial operations

Both practitioners and scholars emphasise the benefits of Industry 4.0 (I4.0) technology implementation, such as increased transparency and the availability of real-time data in operations processes. Current literature on I4.0 technologies tends to overemphasise the positive impact and transformational capabilities of digital technologies while there is little focus on evaluating potential risks associated with their adoption in industrial operations. An understanding of how supply chain risks are perceived in digitalisation projects within industrial operations and an understanding of decision-makers' responses to different types of risks has important managerial implications. Current literature, however, lacks systematic empirical evidence on the implementation of I4.0 applications and related risk factors. This study aims to address this research gap by exploring the relationship between I4.0 technologies and supply chain risks based on empirical evidence from 300 case studies of industrial practice in Germany and fifty-three interviews with relevant managers from selected use cases and with general experts in this field. Our findings show that digital technologies are frequently adopted to address certain existing supply chain risks but that their implementation introduces new sources of risks (e.g. cyber risks). Based on qualitative data analysis and drawing on Normal Accident Theory, we propose a framework to explicate the drivers and contingency factors of new sources of supply chain risks in the context of Industry 4.0 technologies. Practical recommendations are provided for supply chain managers to guide the process of managing supply chain risks based on the technological life cycle