An Improved Differential Evolution Algorithm for Data Stream Clustering

A Few algorithms were actualized by the analysts for performing clustering of data streams. Most of these algorithms require that the number of clusters (K) has to be fixed by the customer based on input data and it can be kept settled all through the clustering process. Stream clustering has faced few difficulties in picking up K. In this paper, we propose an efficient approach for data stream clustering by embracing an Improved Differential Evolution (IDE) algorithm. The IDE algorithm is one of the quick, powerful and productive global optimization approach for programmed clustering. In our proposed approach, we additionally apply an entropy based method for distinguishing the concept drift in the data stream and in this way updating the clustering procedure online. We demonstrated that our proposed method is contrasted with Genetic Algorithm and identified as proficient optimization algorithm. The performance of our proposed technique is assessed and cr eates the accuracy of 92.29%, the precision is 86.96%, recall is 90.30% and F-measure estimate is 88.60%

The Role of Practice Research Networks (PRN) in the Development and Implementation of Evidence: The Northern Improving Access to Psychological Therapies PRN Case Study

Practice research networks (PRNs) can support the implementation of evidence based practice in routine services and generate practice based evidence. This paper describes the structure, processes and learning from a new PRN in the Improving Access to Psychological Therapies programme in England, in relation to an implementation framework and using one study as a case example. Challenges related to: ethics and governance processes; communications with multiple stakeholders; competing time pressures and linking outcome data. Enablers included: early tangible outputs and impact; a collaborative approach; engaging with local research leads; clarity of processes; effective dissemination; and committed leadership

Retracted: An improved bi-gram based approach for user profile similarity Measure and fake user detection in online social networks

This article was withdrawn and retracted by the Journal of Fundamental and Applied Sciences and has been removed from AJOL at the request of the journal Editor in Chief and the organisers of the conference at which the articles were presented (www.iccmit.net). Please address any queries to [email protected]

Evaluating factors influencing the delivery and outcomes of an incentive-based behaviour change strategy targeting child obesity: protocol for a qualitative process and impact evaluation

Introduction Community-based weight management programmes are important in addressing childhood obesity. However, the mechanisms that lead to behaviour change within the programmes are rarely studied within the context of the programmes themselves once they have been implemented. This means that further potential gains in the effectiveness of the programme are often not made and any potential losses of efficacy are often not noticed. Qualitative research alongside randomised controlled trials (RCTs) can tell us the context in which these programmes are implemented and elucidate potential mediators or modifiers of the programmes' effectiveness. The aim of this evaluation is to determine the barriers and enablers to the delivery and impact of an incentive-based behaviour change strategy targeting child obesity to inform future translation. Methods and analysis Qualitative analysis, including stakeholder and family interviews, focus groups and a survey, will be used. The research will be conducted in collaboration with policymakers, researchers and community health professionals. Participants will be selected from programme providers, and parents/carers and children participating in an Australian community weight management programme during an RCT examining the effectiveness of incentives for improving behaviour change. A maximum variation sampling method based on participant demographics and group characteristics will be used. Thematic analysis will be carried out inductively based on emergent themes, using NVivo V.9. Ethics and dissemination This research is approved by the South West Sydney Human Ethics Committee review body (HREC/14/LPOOL/480). The evaluation will provide information about the contextual and influencing factors related to the outcomes of the RCT. The results will assist researchers, community health practitioners and policymakers regarding the development, implementation and translation of behaviour change strategies in community initiatives for obese children. Insights gained may be applicable to a range of chronic conditions where similar preventive intervention approaches are indicated. Trial registration number ACTRN12615000558527, Pre-results