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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

A local network neighbourhood artificial immune system

Graaff, A.J. (Alexander Jakobus) 17 October 2011 (has links)
As information is becoming more available online and will forevermore be part of any business, the true value of the large amounts of stored data is in the discovery of hidden and unknown relations and connections or traits in the data. The acquisition of these hidden relations can influence strategic decisions which have an impact on the success of a business. Data clustering is one of many methods to partition data into different groups in such a way that data patterns within the same group share some common trait compared to patterns across different groups. This thesis proposes a new artificial immune model for the problem of data clustering. The new model is inspired by the network theory of immunology and differs from its network based predecessor models in its formation of artificial lymphocyte networks. The proposed model is first applied to data clustering problems in stationary environments. Two different techniques are then proposed which enhances the proposed artificial immune model to dynamically determine the number of clusters in a data set with minimal to no user interference. A technique to generate synthetic data sets for data clustering of non-stationary environments is then proposed. Lastly, the original proposed artificial immune model and the enhanced version to dynamically determine the number of clusters are then applied to generated synthetic non-stationary data clustering problems. The influence of the parameters on the clustering performance is investigated for all versions of the proposed artificial immune model and supported by empirical results and statistical hypothesis tests. AFRIKAANS: Soos wat inligting meer aanlyn toeganglik raak en vir altyd meer deel vorm van enige besigheid, is die eintlike waarde van groot hoeveelhede data in die ontdekking van verskuilde en onbekende verwantskappe en konneksies of eienskappe in die data. Die verkryging van sulke verskuilde verwantskappe kan die strategiese besluitneming van ’n besigheid beinvloed, wat weer ’n impak het op die sukses van ’n besigheid. Data groepering is een van baie metodes om data op so ’n manier te groepeer dat data patrone wat deel vorm van dieselfde groep ’n gemeenskaplike eienskap deel in vergelyking met patrone wat verspreid is in ander groepe. Hierdie tesis stel ’n nuwe kunsmatige immuun model voor vir die probleem van data groepering. Die nuwe model is geinspireer deur die netwerk teorie in immunologie en verskil van vorige netwerk gebaseerde modelle deur die model se formasie van kunsmatige limfosiet netwerke. Die voorgestelde model word eers toegepas op data groeperingsprobleme in statiese omgewings. Twee verskillende tegnieke word dan voorgestel wat die voorgestelde kunsmatige immuun model op so ’n manier verbeter dat die model die aantal groepe in ’n data stel dinamies kan bepaal met minimum tot geen gebruiker invloed. ’n Tegniek om kunsmatige data stelle te genereer vir data groepering in dinamiese omgewings word dan voorgestel. Laastens word die oorspronklik voorgestelde model sowel as die verbeterde model wat dinamies die aantal groepe in ’n data stel kan bepaal toegepas op kunsmatig genereerde dinamiese data groeperingsprobleme. Die invloed van die parameters op die groepering prestasie is ondersoek vir alle weergawes van die voorgestelde kunsmatige immuun model en word toegelig deur empiriese resultate en statistiese hipotese toetse. / Thesis (PhD)--University of Pretoria, 2011. / Computer Science / unrestricted
2

Die ontwikkeling van 'n gedragsobservasieskaal as prestasiebeoordelingsinstrument vir senior bestuurders

Meyer, Albert Ludolph 11 1900 (has links)
Text in Afrikaans, abstract in Afrikaans and English / Navorsing toon dat beoordelingskale, gebaseer op spesifieke werksgedrag as geldige prestasiemetingsinstrumente gebruik kan word om die individuele ontwikkelingsbehoeftes van elke werknemer te bepaal. Die doel van die studie is die ontwikkeling en validering van 'n gedragsobservasieskaal vir senior bestuurders. Vir die doel is 49 senior bestuurders se prestasiemetings verkry op drie skale, naamlik 'n gedragsobservasieskaal wat ontwikkel is, die Werknemerbeoordelingskaal en 'n gedragsgeankerde skaal. 'n Pearson korrelasie van 0,74 is tussen die totaaltellings van die Gedragsobservasieskaal en die van die Gedragsgeankerde skaal verkry (p<0.01 ;N=49). Tussen die totaaltellings van die Gedragsobservasieskaal en die Werknemerbeoordelingskaal is 'n Pearson korrelasie van 0,75 gevind (p<0,01 ;N=49). Met hierdie resultate kan dus aanvaar word dat die Gedragsobservasieskaal 'n geldige meetinstrument van werksprestasie is en as prestasiemetingskaal gebruik kan word. / Research indicates that appraisal scales based on specific behaviour can be used as performance appraisal instruments to promote every employees' individual development need. The aim of this study is the development and validation of a behavioural observation scale for senior management. To achieve this aim 49 senior managers' performance scores were obtained on three scales, namely a behavioral observation scale which was developed, the Employee Rating Scale, and a behaviourally anchored rating scale. A Pearson correlation of 0,74 was obtained between the total scores of the Behavioral Observation Scale and the Behaviourally Anchored Rating Scale (p<0,01 ;N=49). Between the total scores of the Behavioral Observation and the Employee Rating Scales a Pearson correlation of 0,75 was found (p<0,01 ;N=49). With these results in mind, the Behavioral Observation Scale can be accepted as a valid measurement scale of work performance and can thus be applied as a performance appraisal instrument. / Industrial and Organisational Psychology / M. Comm. (Industrial Psychology)
3

Die ontwikkeling van 'n gedragsobservasieskaal as prestasiebeoordelingsinstrument vir senior bestuurders

Meyer, Albert Ludolph 11 1900 (has links)
Text in Afrikaans, abstract in Afrikaans and English / Navorsing toon dat beoordelingskale, gebaseer op spesifieke werksgedrag as geldige prestasiemetingsinstrumente gebruik kan word om die individuele ontwikkelingsbehoeftes van elke werknemer te bepaal. Die doel van die studie is die ontwikkeling en validering van 'n gedragsobservasieskaal vir senior bestuurders. Vir die doel is 49 senior bestuurders se prestasiemetings verkry op drie skale, naamlik 'n gedragsobservasieskaal wat ontwikkel is, die Werknemerbeoordelingskaal en 'n gedragsgeankerde skaal. 'n Pearson korrelasie van 0,74 is tussen die totaaltellings van die Gedragsobservasieskaal en die van die Gedragsgeankerde skaal verkry (p<0.01 ;N=49). Tussen die totaaltellings van die Gedragsobservasieskaal en die Werknemerbeoordelingskaal is 'n Pearson korrelasie van 0,75 gevind (p<0,01 ;N=49). Met hierdie resultate kan dus aanvaar word dat die Gedragsobservasieskaal 'n geldige meetinstrument van werksprestasie is en as prestasiemetingskaal gebruik kan word. / Research indicates that appraisal scales based on specific behaviour can be used as performance appraisal instruments to promote every employees' individual development need. The aim of this study is the development and validation of a behavioural observation scale for senior management. To achieve this aim 49 senior managers' performance scores were obtained on three scales, namely a behavioral observation scale which was developed, the Employee Rating Scale, and a behaviourally anchored rating scale. A Pearson correlation of 0,74 was obtained between the total scores of the Behavioral Observation Scale and the Behaviourally Anchored Rating Scale (p<0,01 ;N=49). Between the total scores of the Behavioral Observation and the Employee Rating Scales a Pearson correlation of 0,75 was found (p<0,01 ;N=49). With these results in mind, the Behavioral Observation Scale can be accepted as a valid measurement scale of work performance and can thus be applied as a performance appraisal instrument. / Industrial and Organisational Psychology / M. Comm. (Industrial Psychology)

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