Essays about: "Weka 3"

Showing result 1 - 5 of 7 essays containing the words Weka 3.

  1. 1. The Use of Decision Trees to Detect Alzheimer's Disease

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Janis Pettersson; [2021]
    Keywords : Decision Tree; Machine Learning; Alzheimer s Disease; Dementia; Open Access Series of Imaging Studies OASIS ; C4.5; CART; CHAID; Weka 3;

    Abstract : 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. READ MORE

  3. 2. Data-driven Management Framework using National and Corporate Culture Analytics to foster Innovation Ambidexterity : A case study on a world leading telecom company

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Chiara Isola; Divya Peddireddy; [2021]
    Keywords : Ambidexterity; Exploration; Exploitation; Innovation; National culture; Corporate culture; Telecommunication Sector; Human Capital; Data-driven Management; Business Strategy; Machine Learning;

    Abstract : 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. READ MORE

  4. 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.

    University essay from Luleå tekniska universitet/Mineralteknik och metallurgi

    Author : Juan Sebastian Guiral Vega; [2018]
    Keywords : Lithium; Image Analysis; Spodumene; Pegmatite; Hyperspectral; Geometallurgy; Machine learning; Mineralogy; characterization; Mineral mapping; Texture; Scanning electron microscopy; SEM; Mineral Processing; Kaustinen; Keliber; Lithium deposit; Geometalurgia; procesamiento mineral; litio; espodumena; pegmatita; machine learning; procesamiento mineral;

    Abstract : 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. READ MORE

  5. 4. Classification of Drill Core Textures for Process Simulation in Geometallurgy : Aitik Mine, Sweden

    University essay from Luleå tekniska universitet/Mineralteknik och metallurgi

    Author : Glacialle Tiu; [2017]
    Keywords : ore texture; texture classification; Machine Learning; drill core photography; scanning electron microscope; X-ray microtomography; mineral mapping; stereology;

    Abstract : 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. READ MORE

  6. 5. Comparison of Automatic Classifiers’ Performances using Word-based Feature Extraction Techniques in an E-government setting

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Alfonso Marin Rodenas; [2011]
    Keywords : E-government; machine learning; WEKA; SVM; Naive Bayes; kNN; Swedish; PoStagging; feature extraction; feature selection; automatic e-mail classification;

    Abstract : 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. READ MORE