[PDF] Top 20 Process Modelling from Insurance Event Log

... Traditionally, process mining has been focusing on discovery ...properties from enactment ...the event logs. Process mining is not limited to process models and resent process ... See full document

... point process with its intensity dependent on the point process itself could provide a more effective model to capture this contagion phenomenon of these clustering ‘bad’ ...Hawkes process, ... See full document

... of process mining in modelling and analyzing incoming material business process in a real ...the event log. In this case the log must be extracted from SAP database using ... See full document

... After having introduced all the necessary tools, the experimental results will be presented. As we are consider- ing operational risk models in insurance, we will use the following tools. The procedure is the ... See full document

... gathered from the effects of flooding on businesses in the C ockermouth area in Cumbria, UK provides an account of impacts of a major flood event on SMEs in a rural town ...flood event had on SMEs in ... See full document

... of process management in insurance ...the process architecture of insurance activity as well as the structure of the basic processes, although they seem to be comprehensive and do take into ... See full document

... evaluation process of the building data integration system based on the research undertaken in the INTELCITIES ...evaluation process was carried out in four stages, as illustrated in Figure ...nD ... See full document

... of log is other important factor which organization should ...reached, log data may override the old log ...historic log data, thus causing log ...of log file. We can either take ... See full document

... The log file of Blue Gene/L contains a large number of log messages and all of the data cannot be processed at once in the ...the log file into blocks where each block contains approximately the same ... See full document

... events from the social streams such as ...existing event ex- traction systems since texts in social me- dia are fragmented and ...Latent Event Model (LEM), to extract structured rep- resentation of ... See full document

... the log-Weibull distri- bution as a new approach for detecting spatial clusters for time to event ...The log-Weibull distribution has wide applications in extreme value theory for modeling extreme ... See full document

... configurable process models, we have identified two main ...automated process discovery and, on the other hand, manual configuration of configurable process ...of event data in organizations, ... See full document

... Two possible problems arise from the procedural attachment approach. F i r s t l y i t is not a graphical knowledge-base and therefore may be harder to in teg rate into the graphical in te rfa c e showing semantic ... See full document

... This study adopted non-paramentic approach in evaluating the performance of Nigerian insurace companies as well as ratio analysis. The non-parametic used was Data Envelopment Analysis (DEA), it also used Latent Growth ... See full document

... This study investigated the performance of stepwise log-linear modelling in the evaluation of LD in three genomic loci. Bootstrapping of the data demonstrated that although certain LD features were ... See full document

... cognitive modelling is lack of access to accurate broad-coverage models of event-level ...(2010), event-level knowl- edge does affect human expectations for ver- bal ... See full document

... Thus, modelling interaction may also increase the fi t of the model as well as modelling non-linearity. Searching for an interaction might yield a model with a better fi t, or determine a potential ... See full document

... Such a model lacks Cohen’s (1999) original element of effectiveness. Effectiveness denotes informing-ness, where the delivery of information is accompanied by actual (effective) change in the informational state of the ... See full document

... the modelling and analysis of phenomena as diverse as earth quakes, credit defaults and arrivals of orders in the limit-order books in financial ...at modelling finance and insurance risk based on ... See full document

... The log-linear model that describes the counts in the resulting contingency table implies a specific logistic regression model, with the binary variable as the ...certain log-linear model designates a ... See full document