Essays about: "C4.5"

Showing result 1 - 5 of 11 essays containing the word C4.5.

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gaëtan Millerand; [2020]
    Keywords : ;

    Abstract : 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. READ MORE

  2. 2. Machine learning and Multi-criteria decision analysis in healthcare : A comparison of machine learning algorithms for medical diagnosis

    University essay from Mittuniversitetet/Avdelningen för informationssystem och -teknologi

    Author : Victoria Hjalmarsson; [2018]
    Keywords : Analytic hierarchy process; AHP; data mining; healthcare management; MCDA;

    Abstract : Medical records consist of a lot of data. Nevertheless, in today’s digitized society it is difficult for humans to convert data into information and recognize hidden patterns. Effective decision support tools can assist medical staff to reveal important information hidden in the vast amount of data and support their medical decisions. READ MORE

  3. 3. Machine Learning for Categorizing Companies in Sweden - A Study for Decision Making Support in Customer Relationship Management

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Christian Frid; [2016]
    Keywords : CRM; Machine Learning; Clustering; Data Mining; Decision Trees; C4.5; K-means; Principal Components Analysis PCA ; Technology and Engineering;

    Abstract : The number of companies in Sweden has shown a significant increase over the last five years (www.bolagsverket.se). Data about these companies is an important asset for the customer relationship management market. READ MORE

  4. 4. Evaluating feature selection in a marketing classification problem

    University essay from Linnéuniversitetet/Institutionen för datavetenskap (DV)

    Author : Irving Ivan Salmeron Perez; [2015]
    Keywords : Neural networks; bank marketing; decision tree; feature selection;

    Abstract : Nowadays machine learning is becoming more popular in prediction andclassification tasks for many fields. In banks, telemarketing area is usingthis approach by gathering information from phone calls made to clientsover the past campaigns. READ MORE

  5. 5. Machine-Learning Techniques for Customer Recommendations

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Felix Glas; [2015]
    Keywords : k-Means Clustering; Decision Tree; C4.5; k-Nearest Neighbors; Apriori; Clustering; Machine Learning; Customer Prediction; Recommendation Engine; CRM; Classification; Technology and Engineering; Mathematics and Statistics;

    Abstract : Today, there is a demand for automated procedures for predicting future customers using recommendation engines in the customer relationship management market. There are already functions commonly available for finding “twins”, i.e. READ MORE