University of Birmingham

Birmingham, United Kingdom

Departments View all

School of Biosciences
8,312
Total Impact Points
226
Members
School of Psychology
4,254
Total Impact Points
208
Members
School of Geography, Earth and Environmental Sciences
1,034
Total Impact Points
159
Members

Publication History View all

  • [show abstract] [hide abstract]
    ABSTRACT: Process mining algorithms use event logs to learn and reason about business processes. Although process mining is essentially a machine learning task, little work has been done on systematically analysing algorithms to understand their fundamental properties, such as how much data is needed for confidence in mining. Nor does any rigorous basis exist on which to choose between algorithms and representations, or compare results. We propose a framework for analysing process mining algorithms. Processes are viewed as distributions over traces of activities and mining algorithms as learning these distributions. We use probabilistic automata as a unifying representation to which other representation languages can be converted. To validate the theory we present analyses of the Alpha and Heuristics Miner algorithms under the framework, and two practical applications. We propose a model of noise in process mining and extend the framework to mining from ?noisy? event logs. From the probabilities and sub-structures in a model, bounds can be given for the amount of data needed for mining. We also consider mining in non-stationary environments, and a method for recovery of the sequence of changed models over time. We conclude by critically evaluating this framework and suggesting directions for future research.
    07/2014;
  • [show abstract] [hide abstract]
    ABSTRACT: Measuring hunger and satiety in children is essential to many studies of childhood eating behaviour and obesity. Despite this, few validated measures currently exist that allow children to make accurate and reliable ratings of their hunger/satiety. Three studies aimed to address this issue by validating the use of a new categorical rating scale, Teddy the Bear, in the context of estimated and real eating episodes. Forty-seven 6- to 8-year-old primary school pupils participated in Study 1, which used a between-participant design. Results from this study indicated that the majority of children were able to use the scale to make estimated hunger/satiety ratings for a character in a story using the scale. No significant differences in the ratings of hunger/satiety of children measured before and after lunch were observed and likely causes are discussed. To account for inter-individual differences in hunger/satiety perceptions Study 2 employed a within-participant design. Fifty-four 5- to 7-year-olds participated in this study and made estimated hunger/satiety ratings for a story character and real hunger/satiety ratings before and after lunch. The results from this study indicated that the majority of children were able to use the scale to make estimated and real hunger and satiety ratings. Children were also found to be significantly hungrier before compared to after lunch. As it was not possible to establish what types of food and in what quantity children ate for lunch a third study was carried out in a controlled laboratory environment. Thirty-six 6- to 9-year-olds participated in Study 3 and made hunger/satiety ratings before and after ingesting an ad libitum snack of known composition and quantity. Results indicate that children felt hungrier before than after the snack and that pre-snack hunger/satiety, as well as changes in hunger/satiety, was associated with ad libitum snack intake. Overall, the studies indicate that our new categorical rating scale has potential for use with primary school children. Implications of our findings and possible contexts for its application are discussed.
    Appetite 03/2014;
  • Source
    [show abstract] [hide abstract]
    ABSTRACT: For n sufficiently large, we determine the density threshold for an n-vertex graph to contain k vertex-disjoint triangles, where 0⩽k⩽n3. This extends results by Erdős and by Moon, and can be viewed as a density version of the Corrádi-Hajnal theorem.
    Electronic Notes in Discrete Mathematics 03/2014; 38:31–36.

Information

  • Address
    Edgbaston, B15 2TT, Birmingham, United Kingdom
  • Head of Institution
    Prof Kimron Shapiro
  • Website
    www.birmingham.ac.uk
Information provided on this web page is aggregated encyclopedic and bibliographical information relating to the named institution. Information provided is not approved by the institution itself. The institution’s logo (and/or other graphical identification, such as a coat of arms) is used only to identify the institution in a nominal way. Under certain jurisdictions it may be property of the institution.

3352 Members View all

View all

Top publications last week by downloads

 
Optics Express 08/2010; 18(16):17106-13.
487 Downloads
 
Pharmacogenomics 10/2007; 8(9):1243-66.
461 Downloads

Top Collaborating Institutions

Collaborations

This map visualizes which other institutions researchers from University of Birmingham have collaborated with.

Rg score distribution

See how the RG Scores of researchers from University of Birmingham are distributed.