A matrix factorization framework for jointly analyzing multiple nonnegative data source

Nonnegative matrix factorization based methods provide one of the simplest and most effective approaches to text mining. However, their applicability is mainly limited to analyzing a single data source. In this paper, we propose a novel joint matrix factorization framework which can jointly analyze multiple data sources by exploiting their shared and individual structures. The proposed framework is flexible to handle any arbitrary sharing configurations encountered in real world data. We derive an efficient algorithm for learning the factorization and show that its convergence is theoretically guaranteed. We demonstrate the utility and effectiveness of the proposed framework in two real-world applications–improving social media retrieval using auxiliary sources and cross-social media retrieval. Representing each social media source using their textual tags, for both applications, we show that retrieval performance exceeds the existing state-of-the-art techniques. The proposed solution provides a generic framework and can be applicable to a wider context in data mining wherever one needs to exploit mutual and individual knowledge present across multiple data sources.

Hierarchical hidden Markov models with general state hierarchy

The hierarchical hidden Markov model (HHMM) is an extension of the hidden Markov model to include a hierarchy of the hidden states. This form of hierarchical modeling has been found useful in applications such as handwritten character recognition, behavior recognition, video indexing, and text retrieval. Nevertheless, the state hierarchy in the original HHMM is restricted to a tree structure. This prohibits two different states from having the same child, and thus does not allow for sharing of common substructures in the model. In this paper, we present a general HHMM in which the state hierarchy can be a lattice allowing arbitrary sharing of substructures. Furthermore, we provide a method for numerical scaling to avoid underflow, an important issue in dealing with long observation sequences. We demonstrate the working of our method in a simulated environment where a hierarchical behavioral model is automatically learned and later used for recognition.

A matrix factorization framework for jointly analyzing multiple nonnegative data sources

Nonnegative matrix factorization based methods provide one of the simplest and most effective approaches to text mining. However, their applicability is mainly limited to analyzing a single data source. In this chapter, we propose a novel joint matrix factorization framework which can jointly analyze multiple data sources by exploiting their shared and individual structures. The proposed framework is flexible to handle any arbitrary sharing configurations encountered in real world data. We derive an efficient algorithm for learning the factorization and show that its convergence is theoretically guaranteed. We demonstrate the utility and effectiveness of the proposed framework in two real-world applications—improving social media retrieval using auxiliary sources and cross-social media retrieval. Representing each social media source using their textual tags, for both applications, we show that retrieval performance exceeds the existing state-of-the-art techniques. The proposed solution provides a generic framework and can be applicable to a wider context in data mining wherever one needs to exploit mutual and individual knowledge present across multiple data sources.

Benefits and disadvantages of sharing the principalship

Trials are occurring around Australia and across education systems to test the veracity and feasibility of various models of job sharing in the Principalship. Currently it appears that Catholic schools are more likely to entertain such arrangements than other schooling sectors (Di Stephano, 2002), however, trials are currently underway in government schools in several Australian states (Department of Education and Children's Services, 2009). These trials arise from the need to encourage more people into the Principalship and to retain experienced Principals. There is scarce research in this area in Australia, but job sharing is an emerging trend in the Principalship that could grow in popularity. There are many reasons given for job-sharing in the Principalship. First is the incumbent's desire to acquire 'worldlife balance'. With an average working week of sixty hours or more (DEl 2004), sharing the leadership load is attractive. Principals currently trialling a shared arrangement cite the desire for more personal time, age and stage issues such as the need to care for ageing parents, and the hope for a transition period to retirement. Education departments see the part-time/shared option as being attractive to leadership aspirants at a time when there's a shortage of Principals and the increasing 'baby-boomer retirement problem to address. Another reason is an emerging interest in re-designing the Principalship, with various constructions being explored (Lacey, 2006). This article considers these new configurations of the Principalship.

Hybrid threshold adaptable quantum secret sharing scheme with reverse Huffman-Fibonacci-tree coding

With prevalent attacks in communication, sharing a secret between communicating parties is an ongoing challenge. Moreover, it is important to integrate quantum solutions with classical secret sharing schemes with low computational cost for the real world use. This paper proposes a novel hybrid threshold adaptable quantum secret sharing scheme, using an m-bonacci orbital angular momentum (OAM) pump, Lagrange interpolation polynomials, and reverse Huffman-Fibonacci-tree coding. To be exact, we employ entangled states prepared by m-bonacci sequences to detect eavesdropping. Meanwhile, we encode m-bonacci sequences in Lagrange interpolation polynomials to generate the shares of a secret with reverse Huffman-Fibonacci-tree coding. The advantages of the proposed scheme is that it can detect eavesdropping without joint quantum operations, and permits secret sharing for an arbitrary but no less than threshold-value number of classical participants with much lower bandwidth. Also, in comparison with existing quantum secret sharing schemes, it still works when there are dynamic changes, such as the unavailability of some quantum channel, the arrival of new participants and the departure of participants. Finally, we provide security analysis of the new hybrid quantum secret sharing scheme and discuss its useful features for modern applications.

Feature nodes : an interaction construct for sharing initiative in design exploration

Exploration with formal design systems comprises an iterative process of specifying problems, finding plausible and alternative solutions, judging the validity of solutions relative to problems and reformulating problems and solutions. Recent advances in formal generative design have developed the mathematics and algorithms to describe and perform conceptual design tasks. However, design remains a human enterprise: formalisms are part of a larger equation comprising human computer interaction. To support the user in designing with formal systems, shared representations that interleave initiative of the designer and the design formalism are necessary. The problem of devising representational structures in which initiative is sometimes taken by the designer and sometimes by a computer in working on a shared design task is reported in this paper. To address this problem, the requirements, representation and
implementation of a shared interaction construct, the feature node, is
described. The feature node facilitates the sharing of initiative in formulating and reformulating problems, generating solutions, making
choices and navigating the history of exploration.

Information sharing in supply chain systems

This chapter considers the importance of information-sharing techniques and strategies employed by industry sectors. Well-developed supply chain management often brings with it improved buyer-supplier communication processes, and we consider the impact of these not only from an intersector point of view, but also from a cross-sector viewpoint. The particular perspectives of the small business within a supply chain structure and of the supply chain customer are examined in detail. We conclude that information sharing is a critical component of business success both inside and outside the supply chain structure. However, while globally and at the large business level, both development and implementation of such technologies have mushroomed, smaller enterprises have tended to be left behind to cope as best they can with multiple pressures to conform.

Toward a receiver-based theory of knowledge sharing

Managers and researchers alike have sought new ways to address the challenges of sharing dispersed knowledge in modern business environments. Careful consideration by sharers of receivers' knowledge needs and behaviours may improve the effectiveness of knowledge sharing. This research examines how sharers react to their perceptions of receivers' knowledge needs and behaviours when making choices relating to sharing knowledge. The focus of this article is to propose and empirically explore a theoretical framework for a study of the role of the receiver in knowledge sharing--receiver-based theory. Data collected from two case studies highlight a key role played by perceived receiver knowledge needs and behaviours in shaping sharer choices when explicit knowledge is shared. A set of receiver influences on knowledge sharing is provided that highlights key receiver and sharer issues. The paper concludes that companies should develop better ways to connect potential sharers with receivers' real knowledge needs. Further, the findings suggest that sharing on a need-to-know basis hinders change in organisational power structures, and prevents the integration of isolated pockets of knowledge that may yield new value.

Sharing and reuse of web developers experience

Development of commercial web systems is laborious, lengthy and costly. This is partly due to the fact that the methods of their development can hardly cope with the complexity of provided services. Such services may need to be distributed and collaborative, require sophisticated software architecture, be rich in form, content and interactivity, and have a wide range of potentially casual users. While web development methodologies are slowly emerging from research methodologies, their adoption is far from wide-spread. To improve this situation, the authors propose an approach based on the observed practices of professional web developers, who openly share and reuse their web development experience, while guarding their development workproducts. To this end, we suggest to enhance web development methods, by collecting problem-solving experience of web developers, packaging it into a reusable form, and providing a navigable decision structure assisting developers in identifying proven expert solutions suitable for a given problem context.

Utilisation of intranets for knowledge sharing : a socio-technical study

Although intranets appear to be ideal environments for employees to share knowledge quickly and efficiently, usage in practice appears limited. We report findings from two case studies that highlight three key issues limiting intranet utilisation for knowledge sharing: organisational structures and strategies, the impact of the receiver on sharer choices, and the availability of alternative channels for knowledge sharing. This study suggests that for companies to obtain more effective intranets, they need to better align organisational structures and strategies with intranet objectives, develop a comprehensive corporate communication plan, and find new ways to better link sharers with receivers’ knowledge needs.

Considering the receiver in knowledge sharing: when the receiver seems ready the sharer appears

The knowledge needs and knowledge-related behaviours of receivers are among the most crucial, yet of ten overlooked, aspects of successful knowledge-sharing. This research examines how sharers consider receivers' knowledge needs and knowledge-related behaviours when choosing whether to share their knowledge and which channels to use for the transmission of that knowledge. A new theory of knowledge sharing - Receiver Theory - is introduced, and a receiver-based model of knowledge sharing is developed from existing literature. Two exploratory case studies are conducted using the model as a guiding framework. A key finding shows that perceived receiver knowledge needs and behaviours are Important motivators and inhibitors in sharer choices in intra-organisational knowledge sharing. This finding was suggested for both personalised and codified knowledge sharing strategies. The study suggests that for companies to realise more effective knowledge sharing, they should develop better ways to connect potential sharers with receivers' real knowledge needs. The study also suggests that sharing on a need-to know basis impedes change In organisational power structures and prevents the integration of isolated pockets of knowledge that may yield new value.

Receiver influences on knowledge sharing

Sharer consideration of receiver knowledge needs and behaviours may improve the quality and results of knowledge sharing. This paper examines how sharers may be influenced by perceived receiver knowledge needs and behaviours when making knowledge sharing choices. Such a consideration adopts an emancipatory approach aimed at acknowledging the rights of those employees who need knowledge to receive it, despite the conflicting goals, agendas or efficiency pressures of sharers. Based on a literature review, a receiver-based theory of knowledge sharing is proposed. Empirical data from two case studies highlight the key role played by perceived receiver knowledge needs and behaviours as motivators and inhibitors in sharer choices. A set of key receiver influences on knowledge sharing is provided. This study concludes that companies should develop better ways to connect potential sharers with the real knowledge needs of receivers, particularly when knowledge technologies mediate sharing. Further, the findings suggest that sharing on a need-to-know basis impedes change in organisational power structures and prevents the integration of isolated pockets of knowledge that may yield new value.

Understanding the impact of organisational downsizing on knowledge sharing

Careful consideration by managers of the potential impact of the popular strategy of economic restructuring (downsizing) on organisational structure and culture could improve the quality of organisational knowledge sharing, however this influence has not yet been addressed in the knowledge management literature. This paper explores how a strategy of downsizing may reshape organisational structure and culture and inhibit organisational knowledge sharing, drawing on an interpretive case study of knowledge sharing in an information technology services function at a large Australian education service provider. Key findings indicate that when specialised teams are downsized, subcultures may develop where teams become mistrustful and insular, and knowledge sharing is constrained across teams. Further, when a hierarchical structure is present and downsizing occurs, managers may become more cautious about sharing knowledge with subordinates. The study also suggests that Internet technologies may play a key role in helping to compensate for the shortfall in knowledge stock resulting from downsizing. In conclusion, this paper highlights an important need for companies to consider the potential negative influences of downsizing on organisationalknowledge sharing.