Automated Induction of Rule-based Neural Networks from Databases

This paper describes our approach to the problem of automated knowledge acquisition from large databases of examples using an information-theoretic approach. Our previous research has resulted in practical algorithms (ITRULE) for the automatic induction of rules from large example databases. Utilizing these algorithms, the raw data can be transformed into a set of human readable IF THEN rules, thus giving insight into the knowledge hidden within the data. These rules can then be automatically loaded into an expert system shell. Alternatively, they can be used to build a new type of parallel inference system—a rule-based neural network. This process enables a prototype expert system to be automatically generated and up and running in a matter of minutes, compared with months using a manual knowledge-acquisition approach. The resulting expert system can then be used as a sophisticated search and analysis tool to query the original database capable of reasoning with uncertain and incomplete data.     

Statistical Inference,Learning and Models in Big Data

The need for new methods to deal with big data is a common theme in most scientific fields, although its definition tends to vary with the context. Statistical ideas are an essential part of this, and as a partial response, a thematic program on statistical inference, learning and models in big data was held in 2015 in Canada, under the general direction of the Canadian Statistical Sciences Institute, with major funding from, and most activities located at, the Fields Institute for Research in Mathematical Sciences. This paper gives an overview of the topics covered, describing challenges and strategies that seem common to many different areas of application and including some examples of applications to make these challenges and strategies more concrete.     

An investigation into apprenticeship completion and retention in Northern Ireland: a social exchange perspective

This paper investigates effective strategies for enhancing completion rates of apprentices and their retention after completing their training. The study was cross sectional and qualitative, involving semi‐structured interviews with managers and four focus groups involving current and completed apprentices from within the engineering sector. The findings revealed that the factors that can enhance intentions of completing an apprenticeship were perceived organisation support (POS) factors such as apprentice pay, recognition and employer support. Leader Member Exchange (LMX) factors such as support from trainers and supervisors, would increase their intentions to complete an apprenticeship and stay on with an organisation after training. The key Percieved Organisational Support factors that would enhance intentions to stay with the organisation after completion were post apprenticeship pay, career progression and challenging and interesting work. Participants with high Perceived Organisational Support and Leader‐Member Exchange, had higher intentions of completing an apprenticeship and staying with the employer after completion and vice versa. This research added to the literature on apprenticeships as it analysed the factors influencing current and completed apprentices’ intentions to discontinue or complete an apprenticeship and stay with or leave their employer after completion through the lens of social exchange theory (SET) (Blau, 1964). This is unlike previous studies that emphasised motivation theory. Social Exchange Theory was supported as both employers and apprentices weighed the costs and benefits of their relationship which impacted on their completion and retention choices. The implication of this study is that employers should develop effective strategies for enhancing completion and retention rates to reap the full benefits from apprenticeships.     

Public accountability: reforms and resistance in social housing

The paper illustrates and discusses the changing nature of public accountability relations in public services that are transferred to a mutual organization. The paper contributes to the literature that studies resistance to the neo-liberal restructuring process, highlighting civil society campaigns as important actors. A social housing case study in Britain is developed, combining a critical realist and dialogical influenced analysis. The case study identifies the role of private finance, illustrating tensions between democratic-styled and NGO-styled public accountability relations. A conclusion that housing mutuals are in danger of being apologia for private capitalism is established.     

Efficiency, Performance and Changing Corporate Governance in China's Township–Village Enterprises since the 1990s

This article outlines some of the major challenges facing Chinese township–village enterprises (TVEs) since the 1990s. The authors argue that the internal mechanisms associated with the unique ownership structure of TVEs has allowed them to perform better than state-owned enterprises (SOEs). Since the mid-1990s, debt levels in the TVE sector have increased sharply. Most of the problems of TVEs have been magnified by the close relationship between local governments and enterprises, which was once one of their major strengths. Since the mid-1990s, local governments have come to regard TVEs with high levels of debt as a burden rather than an asset. In response local governments have moved to other, more indirect forms of governance over most TVEs under their control, while retaining direct control over the most successful. These alternative ownership structures include share-holding co-operatives and outright privatisation.     

Theories of the Firm and the Relationship between Different Perspectives on the Division of Labour

This paper explores the tension between the organisational learning, market and hierarchies rationales for the firm. It is not clear, from the organisational learning and market-hierarchies literatures, what role exists for the different approaches. The paper suggests that this reflects the fact that each paradigm is premised on a particular notion of the division of labour but, at the same time, does not recognise that the division of labour is multifaceted. The paper suggests one possible approach to reconcile the various rationales for the firm. To do this, the different paradigms are placed in the context of different growth patterns that support different conceptions of the division of labour.     

了解你的客户

在澳大利亚,身份窃贼的数量正在以每月3倍的速度迅速增长,而每年身份窃贼所造成的损失更是高达10亿～50亿澳元,其中很大一部分损失都由银行承担。但     

DYNAMIC PROCESS ANALYSIS AND A MODEL OF THE TRADE CYCLE

In a recent article H. R. Hudson has merged real and monetary-factors to produce a comparative statics trade cycle model.¹ The present paper introduces specific dynamic relationships into the model, shows that as a result the system need not behave in the fashion described by Hudson, and argues that the model thus amended provides a more suitable explanation of post-war fluctuations.     

The British labor market in disequilibrium: Did the dole reduce employment in interwar Britain?

In this paper we estimate an econometric model of the labor market in interwar Britain. We reject the hypothesis that wages adjust sufficiently speedily to clear the labor market in each year in favor of a disequilibrium model in which the level of employment is determined by the lesser of labor demand or supply. We find that the level of unemployment benefits is a key determinant of labor supply. We estimate that a reduction in benefits to approximately half the 1925-38 average would have resulted in an increase in employment of between eight and twelve percent.