Sökning: "ID3"

Visar resultat 1 - 5 av 6 uppsatser innehållade ordet ID3.

  1. 1. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration

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

    Författare :Xuechun Lu; [2023]
    Nyckelord :Missing data handling; Rough set reduction; FAVC Set; ID3; Saknade datahantering; Rough set reducering; FAVC Set; ID3;

    Sammanfattning : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. LÄS MER

  2. 2. To be a chick mother : variation in maternal care and its effect on chick behavioural development

    Master-uppsats, SLU/Dept. of Animal Nutrition and Management

    Författare :Linnéa Christenson; [2021]
    Nyckelord :maternal behaviour; natural broodiness; induced broodiness; social ranking; hen chick interaction; chick behavioural development; poultry; layers; feather peck;

    Sammanfattning : In Swedish poultry production today over 7 million chicks are incubated, housed and reared without maternal care. Studies indicate that chicks behavioural development and welfare may benefit from hen maternal care and potentially maternal care could be artificially provided in the commercial situation. LÄS MER

  3. 3. Enhancing decision tree accuracy and compactness with improved categorical split and sampling techniques

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

    Författare :Gaëtan Millerand; [2020]
    Nyckelord :;

    Sammanfattning : Decision tree is one of the most popular algorithms in the domain of explainable AI. From its structure, it is simple to induce a set of decision rules which are totally understandable for a human. That is why there is currently research on improving decision or mapping other models into a tree. Decision trees generated by C4. LÄS MER

  4. 4. Constructing decision trees for user behavior prediction in the online consumer market

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Dennis Fokin; Joel Hagrot; [2016]
    Nyckelord :;

    Sammanfattning : This thesis intends to investigate the usefulness of various aspects of product data for user behavior prediction in the online shopping market. Specifically, a data set from BestBuy was used, containing information regarding what product a user clicked on given their search query. LÄS MER

  5. 5. MLID : A multilabelextension of the ID3 algorithm

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Henrik Starefors; Rasmus Persson; [2016]
    Nyckelord :ID3; Multilabel; Machine learning;

    Sammanfattning : AbstractMachine learning is a subfield within artificial intelligence that revolves around constructingalgorithms that can learn from, and make predictions on data. Instead of following strict andstatic instruction, the system operates by adapting and learning from input data in order tomake predictions and decisions. LÄS MER