1,721,511 research outputs found
Shelf time analysis in CTP insurance claims processing
Shelf time (idle time that exceeds acceptable duration) can contribute (significantly) to overall process execution time. In this paper we describe a process mining-based approach to shelf time analysis. The technique takes as input an event log extracted from historical executions of a business process and requires each event have timestamp attributes representing both the start and completion times of each event. The essence of our shelf time identification technique is finding events which do not temporally overlap other events in the same case in the log. The major contributions of this paper include (i) an approach for identifying and quantifying periods of shelf time in an event log triggered by an event activity, (ii) an analysis of a portfolio of claims of commercial CTP insurer to identify shelf time periods and triggering activities and (iii) a discussion of an extension of the approach to include identification of shelf time periods associated with other event attributes, e.g. the resource. The technique was applied to a real life log extracted from a Queensland CTP insurer and was able to identify activities that triggered shelf time periods and to quantify the pervasiveness of shelf time across activities and cases in the log
Cognition or Affect? - Exploring Information Processing on Facebook
Recognizing the increasing amount of information shared on Social Networking Sites (SNS), in this study we aim to explore the information processing strategies of users on Facebook. Specifically, we aim to investigate the impact of various factors on user attitudes towards the posts on their Newsfeed. To collect the data, we program a Facebook application that allows users to evaluate posts in real time. Applying Structural Equation Modeling to a sample of 857 observations we find that it is mostly the affective attitude that shapes user behavior on the network. This attitude, in turn, is mainly determined by the communication intensity between users, overriding comprehensibility of the post and almost neglecting post length and user posting frequency
Querying historical web information
In this report, we propose a temporal web data model that captures the historical web information in the form of temporal web tables.Master of Engineering (SCE
Synopsis join query processing in sensor networks
129 p.Recent advances in hardware and wireless technologies have led to the developments of small, wireless, battery-powered sensors with limited processing power. Sensor networks consisting of hundreds or even thousands of such sensors can be deployed to monitor physical environments with little human intervention. Various constraints of sensor network, such as unreliable wireless connections, limited bandwidth and finite energy, have posed the needs for flexible, reliable, and cost-effective techniques for processing data collected by the sensors. A sensor network can be treated as a database. Collecting and processing the data collected and stored in the sensor network can be achieved using queries. In this thesis, we focus on join queries in sensor networks, which are used to integrate data from the raw sensor readings.MASTER OF ENGINEERING (SCE
Ontology-based web classification
In this thesis, we define an ontology to consist of a hierarchy of concepts and the relationships among the concepts discussed.Doctor of Philosophy (SCE
Domain specific event topic information extraction on large text collections
110 p.In this research, we examine the problem of extracting information about domain specific event topics from a large document collection. Given a user query that specifies some seed information about an event topic, a conventional document retrieval system usually finds documents where the given query terms appear frequently but not necessarily the documents containing a complete set of information about the event topic. Documents related to the event topic but not containing the query terms will not be returned. A novel way of representing information about an event topic by its entity and relation instances has been introduced in this thesis.MASTER OF ENGINEERING (SCE
Meta-search system for distributed databases
In this research, we have redesigned and implemented a meta-search system, known as the eBroker for E-commerce databases.Master of Engineering (SCE
Semantic web annotation for relationship instances
In this thesis, we analyze several existing Semantic Web Annotation(SWA) approaches, propose the annotation of link chains for relationship instances, propose a new semi-automatic link chain extraction method and develop a search and browsing tool for concept and relationship instances in SWA by exploiting the link chain information.DOCTOR OF PHILOSOPHY(SCE
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