Sökning: "Weka 3"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden Weka 3.
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. Textural and Mineralogical Characterization of Li-pegmatite Deposit: Using Microanalytical and Image Analysis to Link Micro and Macro Properties of Spodumene in Drill Cores. : Keliber Lithium Project, Finland.
Master-uppsats, Luleå tekniska universitet/Mineralteknik och metallurgiSammanfattning : Lithium represents one of the strategic elements for the rest of the 21st century due to its increasing demand in technological applications. Therefore, new efforts should be focused on the optimization of mineral characterization processes, which link the ore properties with its behaviour during downstream processes. LÄS MER
4. Classification of Drill Core Textures for Process Simulation in Geometallurgy : Aitik Mine, Sweden
Master-uppsats, Luleå tekniska universitet/Mineralteknik och metallurgiSammanfattning : This thesis study employs textural classification techniques applied to four different data groups: (1) visible light photography, (2) high-resolution drill core line scan imaging (3) scanning electron microscopy backscattered electron (SEM-BSE) images, and (4) 3D data from X-ray microtomography (μXCT). Eleven textural classes from Aitik ores were identified and characterized. LÄS MER
5. Comparison of Automatic Classifiers’ Performances using Word-based Feature Extraction Techniques in an E-government setting
Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : Nowadays email is commonly used by citizens to establish communication with their government. On the received emails, governments deal with some common queries and subjects which some handling officers have to manually answer. LÄS MER