this research identifies from literature principles of successful Virtual Communities of practice (VCoPs) and explains how they have been fulfilled in the development of a VCoP that aims at contributing to knowledge s...
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ISBN:
(纸本)9788271177881
this research identifies from literature principles of successful Virtual Communities of practice (VCoPs) and explains how they have been fulfilled in the development of a VCoP that aims at contributing to knowledge sharing on natural disasters. the developed VCoP involves 70 experts in dealing with natural disasters from different hierarchical levels, organizations and nationalities of Europe. the VCoP has been developed within a european project from the 7th framework program. During the project three workshops were arranged for the members of the VCoP to know each other and to develop a living document. the living document is a web based tool used by the VCoP to share documents and insights, and it helps VCoP members networking. this paper provides direction for developing a VCoP to exchange lessons learned reports among crisis managers and first responders, and it identifies barriers that hinder the use of the living document.
With improvements in health care children diagnosed with long term medical conditions are now more likely to live longer withthe possibility that their condition will follow them into adulthood. As the young person g...
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ISBN:
(纸本)9781909507654
With improvements in health care children diagnosed with long term medical conditions are now more likely to live longer withthe possibility that their condition will follow them into adulthood. As the young person grows older they will eventually have to transfer their care to the adult setting. Failure to plan and coordinate this has been associated with poorer health outcomes and disruption to their care. Transition planning encourages both health literacy and health promoting behaviours in an age and developmentally appropriate way. In order to gauge the attainment of these skills assessment tools have been developed. they all have items of commonality (understanding the condition, self-management, adherence to treatment and communication) but many are disease specific and address items that are specific to their country of origin (i.e. medical insurance). A series of transitional readiness checklists have been developed at Birmingham Children's Hospital which are more focussed to young people in the UK. the domains they measure include knowledge, self-advocacy, transferring to adult care, health and lifestyle, activities of daily living, school and vocation, leisure and managing emotions. Engaging and encouraging young people to work towards attaining the required skills and the assessment of their competency in them beyond the health care setting remains a challenge in every day clinical practice. the processes would therefore benefit from a more objective assessment for the doctor and structured in way to be more fun for the young person. Gamification is the term used to describe the use of game mechanics in non-game contexts withthe aim of trying to improving engagement and motivation. In this paper we will discuss how the dynamics of gamification (progress, feedback and behaviour) and game mechanics can be mapped to the self-care and self-management skills associated with Birmingham Children's Hospital transitional care checklists. this will include how b
the proceedings contain 119 papers. the topics discussed include: declarative modeling for machine learning and data mining;solving problems with visual analytics: challenges and applications;discovering descriptive t...
ISBN:
(纸本)9783642334856
the proceedings contain 119 papers. the topics discussed include: declarative modeling for machine learning and data mining;solving problems with visual analytics: challenges and applications;discovering descriptive tile trees: by mining optimal geometric subtiles;efficient discovery of association rules and frequent itemsets through sampling with tight performance guarantees;combining subjective probabilities and data in training Markov logic networks;a note on extending generalization bounds for binary large-margin classifiers to multiple classes;fairness-aware classifier with prejudice remover regularizer;a live comparison of methods for personalized article recommendation at ***;fast reinforcement learning with large action sets using error-correcting output codes for MDP factorization;opinion formation by voter model with temporal decay dynamics;and discriminative factor alignment across heterogeneous feature space.
the proceedings contain 119 papers. the topics discussed include: declarative modeling for machine learning and data mining;solving problems with visual analytics: challenges and applications;discovering descriptive t...
ISBN:
(纸本)9783642334597
the proceedings contain 119 papers. the topics discussed include: declarative modeling for machine learning and data mining;solving problems with visual analytics: challenges and applications;discovering descriptive tile trees: by mining optimal geometric subtiles;efficient discovery of association rules and frequent itemsets through sampling with tight performance guarantees;combining subjective probabilities and data in training Markov logic networks;a note on extending generalization bounds for binary large-margin classifiers to multiple classes;fairness-aware classifier with prejudice remover regularizer;a live comparison of methods for personalized article recommendation at ***;fast reinforcement learning with large action sets using error-correcting output codes for MDP factorization;opinion formation by voter model with temporal decay dynamics;and discriminative factor alignment across heterogeneous feature space.
We suggest a new framework for classification rule mining in quantitative data sets founded on Bayes theory - without univariate preprocessing of attributes. We introduce a space of rule models and a prior distributio...
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knowledge management includes areas such as organisational behaviour, IT, leadership, training and strategy which are very important in health sector. the aim of this document is to provide a general review of knowled...
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ISBN:
(纸本)9781902316802
knowledge management includes areas such as organisational behaviour, IT, leadership, training and strategy which are very important in health sector. the aim of this document is to provide a general review of knowledge management practices in the health sector. this document outlines the main principles required for a successful knowledge management in health sector and recommends different models for the knowledge management strategy.
Inductive databases are databases in which models and patterns;are first class citizens. Having models and patterns in the database raises the question: do the models and patterns that are stored help in computing new...
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ISBN:
(纸本)9783642041730
Inductive databases are databases in which models and patterns;are first class citizens. Having models and patterns in the database raises the question: do the models and patterns that are stored help in computing new models and patterns? For example, let C be a classifier oil database DB and let Q be a query. Does knowing C speed up the induction of a new classifier oil the result of Q? In this paper we answer this problem positively for the code tables induced by our KRIMP algorithm. More in particular, assume we have the code tables for all tables in the database. then we call approximate the code table induced by on the result, of a query, rising only these global code tables as candidates. that is, we do not have to mine for frequent item sets on the query result.
this article introduces the class of Most Informative Patterns (MIPs) for characterizing a given dataset. MIPs form a reduced subset of non redundant closed patterns that are extracted from data thanks to a scoring fu...
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ISBN:
(纸本)9783642041730
this article introduces the class of Most Informative Patterns (MIPs) for characterizing a given dataset. MIPs form a reduced subset of non redundant closed patterns that are extracted from data thanks to a scoring function depending on domain knowledge. Accordingly, MIPs are designed for providing experts good insights on the content;of datasets during data analysis. the article presents the model of MIPs and their formal properties wrt other kinds of patterns. then, two algorithms for extracting MIPs are detailed: the first, directly searches for MIPs in a dataset while the second screens MIPs from frequent patterns. the efficiencies of both algorithms are compared when applied to reference datasets. Finally the application of MIPs to labelled graphs, here molecular graphs, is discussed.
Linear discriminant analysis (LDA) is a commonly used method for dimensionality reduction. Despite its successes, it has limitations under some situations, including the small sample size problem, the homoscedasticity...
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ISBN:
(纸本)9783642041730
Linear discriminant analysis (LDA) is a commonly used method for dimensionality reduction. Despite its successes, it has limitations under some situations, including the small sample size problem, the homoscedasticity assumption that different classes have the same Gaussian distribution, and its inability to produce probabilistic output and handle missing data. In this paper. we propose a semi-supervised and heteroscedastic extension of probabilistic LDA, called S(2)HPLDA, which aims at overcoming all these limitations under a common principled framework. Moreover, we apply automatic relevance determination to determine the required dimensionality of the low-dimensional space for dimensionality reduction. We empirically compare our method with several related probabilistic subspace methods on some face and object databases. Very promising results are obtained from the experiments showing the effectiveness of our proposed method.
the proceedings contain 5 papers. the topics discussed include: an inductive programming approach to algebraic specification;data-driven induction of recursive functions from input/output-examples;a functional approac...
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the proceedings contain 5 papers. the topics discussed include: an inductive programming approach to algebraic specification;data-driven induction of recursive functions from input/output-examples;a functional approach to evolving recursive programs;and detecting data structures from traces.
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