Despite the recent emergence of research, creating an evolving fuzzy clustering method that intelligently copes with huge amount of data streams in the present high-speed networks involves a lot of difficulties. Several efforts have been devoted to enhance traditional clustering techniques into on-line evolving fuzzy able to learn and develop continuously. In line with these efforts, we propose...

Enhancement Clustering of Cloud Datasets using Improved Agglomerative Technique Prof. Madhuri h Parekh Smt. J.J.Kundaliya Commerce College, Rajkot, Gujarat, India. Email: [email protected] ----------------------------------------------------------------------ABSTRACT------------------------------------------------------------Cloud computing is the latest technology that delivers computing...

This paper presents an analytical model based on mean value analysis (MVA) technique for a probabilistic re-entrant line. The objective is to develop a solution method to determine the total cycle time of a Reflow Screening (RS) operation in a semiconductor assembly plant. The uniqueness of this operation is that it has to be borrowed from another department in order to perform the production s...

BACKGROUND Long waiting times and large caseloads are a challenge to children's therapy services internationally. Research in hospital-based healthcare indicates that waiting times are a function of throughput, and that length of care episode is related to clinicians' caseload management behaviour (i.e. actions at assessment, treatment, post-treatment, and discharge). There have been few attemp...

OBJECTIVE To clarify the principles of a safe delivery based on Clinical Governance Criteria, as recommended by the pertinent experts. MATERIALS AND METHODS The current study was part of a qualitative research conducted by content analysis method in 2013 and purposive sampling, performing 24 in-depth interviews based on semi-structured questions and analyzed using thematic content analysis. T...

this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...


 With the growth of social media information on Web, performing clustering different types data is a challenging task.Statistical approaches are widely used to tackle this task. Among successful statistical approaches, finite mixture models have received lot attention thanks their flexibility. There already many cope with task, but Exponential Multinomial Scaled Dirichlet Distributions (E...