Sökning: "WEKA"
Visar resultat 1 - 5 av 39 uppsatser innehållade ordet WEKA.
1. The Use of Decision Trees to Detect Alzheimer's Disease
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Alzheimer's Disease is the most common disease of dementia, which may involve the decline of memory, communication, and judgement, yet it is hard to diagnose. The machine learning algorithms, Decision Trees, provide a possible solution to reduce the difficulty of the diagnosis process of Alzheimer's Disease. LÄS MER
2. Data-driven Management Framework using National and Corporate Culture Analytics to foster Innovation Ambidexterity : A case study on a world leading telecom company
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomiSammanfattning : Background: In a highly competitive world, leaders of firms highly dependent on innovation, such astelecom companies, must acquire data-driven managerial skills to systematically analyze datasets from multiple points of view to aid decision-making in the new context of Industry 4.0. LÄS MER
3. Tyre sound classification with machine learning
Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/DatavetenskapSammanfattning : Having enough data about the usage of tyre types on the road can lead to a better understanding of the consequences of studded tyres on the environment. This paper is focused on training and testing a machine learning model which can be further integrated into a larger system for automation of the data collection process. LÄS MER
4. Ensemble approach to code smell identification : Evaluating ensemble machine learning techniques to identify code smells within a software system
Master-uppsats, Jönköping University/JTH, Datateknik och informatikSammanfattning : The need for automated methods for identifying refactoring items is prelevent in many software projects today. Symptoms of refactoring needs is the concept of code smells within a software system. Recent studies have used single model machine learning to combat this issue. LÄS MER
5. Assessment of Parkes Error Grid through Machine learning techniques.
Master-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaperSammanfattning : Background: A method for non-invasive, instantaneous, and cost-effective estimation of glucose level for diabetic patients, from their voice, is being developed to alleviate the issues in the estimation of blood glucose level. [1] It takes speech as an input and it evaluates another variable of interest and various error metrics can be used to evaluate the biomarker (accuracy, regression coefficient, unweighted average recall and other specific ones). LÄS MER