Sökning: "The CRISP-DM Framework"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden The CRISP-DM Framework.

  1. 1. DATA MINING IN PRACTICE : An application of the CRISP-DM framework in healthcare

    Magister-uppsats, Umeå universitet/Institutionen för informatik

    Författare :Emma Lind; Sofi Glas; [2022]
    Nyckelord :Data governance; Data mining methodology; The CRISP-DM Framework; Data mining in healthcare;

    Sammanfattning : With extensive data available in today's organizations, it has become increasingly important to secure valuable insights through data. As a result, the management of data to support decision-making processes is receiving increasing attention in organizations' IT strategies. The healthcare sector is no exception. LÄS MER

  3. 2. Security of Big Data: Focus on Data Leakage Prevention (DLP)

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Richard Nyarko; [2018]
    Nyckelord :Big data; big data security; data leakage prevention; data leakage prevention system;

    Sammanfattning : Data has become an indispensable part of our daily lives in this era of information age. The amount of data which is generated is growing exponentially due to technological advances. This voluminous of data which is generated daily has brought about new term which is referred to as big data. LÄS MER

  4. 3. Evaluating Frameworks for Implementing Machine Learning in Signal Processing : A Comparative Study of CRISP-DM, SEMMA and KDD

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Antonia Dåderman; Sara Rosander; [2018]
    Nyckelord :Radar Warning System; Saab; Machine Learning; CRISP-DM; SEMMA; KDD; Radarvarningssystem; Saab; Maskininlärning; CRISP-DM; SEMMA; KDD;

    Sammanfattning : Machine learning is when a computer can learn from data and draw its own conclusions without being explicitly programmed to do so. To implement machine learning effectively and correctly, it is important to have a structured framework to follow. LÄS MER

  5. 4. Building a decision support system to predict the number of visitors to an amusement park : Using an Artificial Neural Network and Statistical Analysis

    Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Benjamin Johansson; Elias Almqvist; [2018]
    Nyckelord :Artificial Neural Network; ANN; Multiple Linear Regression; MLR; Decision Support System; CRISP-DM; Visitor Prediction; Amusement Park;

    Sammanfattning : In this thesis, we develop a decision support system for the amusement park Skara Sommarland. The aim is to predict how many visitors will come to the park in order to help the management allocate the correct amount of personnel on any given day. LÄS MER

  7. 5. PERFORMANCE EVALUATION of MILITARY TRAINING EXERCISES USING DATA MINING

    Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Rohini Dubey; [2016]
    Nyckelord :Simulation; framework; Data Mining; Classification; CRISP- DM; Evaluation;

    Sammanfattning : Attaining training objectives is the measure of a successful training as objectives defines the purpose of instructional events. Application of the training objectives is challenging in large and complex military trainings. LÄS MER