Sökning: "Cross Industry Standard for Data Mining CRISP-DM"

Hittade 4 uppsatser innehållade orden Cross Industry Standard for Data Mining CRISP-DM.

  1. 1. A Data-Driven Approach for Incident Handling in DevOps

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Lakshmi Ashritha Annadata; [2023]
    Nyckelord :Incident Handling; DevOps; Machine Learning; Prioritization; Topic Modeling;

    Sammanfattning : Background: Maintaining system reliability and customer satisfaction in a DevOps environment requires effective incident management. In the modern day, due to increasing system complexity, several incidents occur daily. Incident prioritization and resolution are essential to manage these incidents and lessen their impact on business continuity. 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. 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

  5. 4. An investigation of the relationship between online activity on Studi.se and academic grades of newly arrived immigrant students : An application of educational data mining

    Kandidat-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Akash Menon; Nahida Islam; [2017]
    Nyckelord :Educational data mining EDM ; data mining DM ; Cross Industry Standard for Data Mining CRISP-DM ; Statistical analysis; Multiple linear regression; null-hypothesis; and level of significance.; Utbildningsdatautvinning; Datautvinning; CRISP-DM; Statistisk analys; Multipel linjär regression; nollhypotes och signifikansnivå;

    Sammanfattning : This study attempts to analyze the impact of an online educational resource on academic performances among newly arrived immigrant students in Sweden between the grade six to nine in the Swedish school system. The study focuses on the web based educational resource called Studi.se made by Komplementskolan AB. LÄS MER