Sökning: "Ensemble Clustering"

Visar resultat 6 - 9 av 9 uppsatser innehållade orden Ensemble Clustering.

  1. 6. Extracting Customer Sentiments from Email Support Tickets : A case for email support ticket prioritisation

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Albert Fiati-Kumasenu; [2019]
    Nyckelord :Machine Learning; Natural Language Processing; Sentiment Analysis; Cluster Ensemble; VADER; Customer support;

    Sammanfattning : Background Daily, companies generate enormous amounts of customer support tickets which are grouped and placed in specialised queues, based on some characteristics, from where they are resolved by the customer support personnel (CSP) on a first-in-first-out basis. Given that these tickets require different levels of urgency, a logical next step to improving the effectiveness of the CSPs is to prioritise the tickets based on business policies. LÄS MER

  3. 7. Online Regime Switching Vector Autoregression Incorporating Spatio-temporal Aspects for Short Term Wind Power Forecasting

    Master-uppsats, KTH/Elkraftteknik

    Författare :Sean Gilleran; [2017]
    Nyckelord :;

    Sammanfattning : This master thesis examines short term wind power forecasting time series models focusing on regimes conditioned to meteorological conditions and the incorporation of spatio-temporal aspects. Novel regime switching autoregressive and vector autoregressive models are proposed, implemented in a .NET framework, and evaluated. LÄS MER

  4. 8. Ensemble based unsupervised anomaly detection

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Alexander Pieta Theofanous; Erik Alstersjö; [2017]
    Nyckelord :unsupervised; ensemble based; computer engineering; Anomaly detection; Technology and Engineering;

    Sammanfattning : A methodology as well as a suggested solution to the problem of unsupervised anomaly detection for contextual anomalies is presented. Using a combination of statistical and clustering approaches, an ensemble of algorithms provide automatic anomaly detection in an Application-to-person networking environment which can be scaled to different domains using hierarchical time series data. LÄS MER

  5. 9. Community Detection in Imperfect Networks

    Master-uppsats, Institutionen för fysik

    Författare :Johan Dahlin; [2011]
    Nyckelord :social network analysis; imperfect networks; uncertain edges; community detection; ensemble clustering; social nätverksanalys; ofullständiga nätverk; osäkra kanter; grupperingar; ensembleklustering;

    Sammanfattning : Community detection in networks is an important area of current research with many applications. Finding community structures is a challenging task and despite significant effort no satisfactory method has been found. Different methods find different communities in the same network and with different computational requirements. LÄS MER