Essays about: "C4.5"

Showing result 1 - 5 of 9 essays containing the word C4.5.

1. 1. 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. 2. 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. 3. 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. 4. Data Mining for Network Intrusion Detection : A comparison of data mining algorithms and an analysis of relevant features for detecting cyber-attacks

   University essay from Mittuniversitetet/Avdelningen för informations- och kommunikationssystem

   Author : Rebecca Petersen; [2015]
   Keywords : Data mining; machine learning; cyber-attack; NSL-KDD; fea-tures; DoS; Probing; R2L; U2R.;

   Abstract : Data mining can be defined as the extraction of implicit, previously un-known, and potentially useful information from data. Numerous re-searchers have been developing security technology and exploring new methods to detect cyber-attacks with the DARPA 1998 dataset for Intrusion Detection and the modified versions of this dataset KDDCup99 and NSL-KDD, but until now no one have examined the performance of the Top 10 data mining algorithms selected by experts in data mining. READ MORE

6. 5. Natural Emerging Patterns:A Reformulation For Classification

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Javier L´OPEZ ALBERCA; [2014]
   Keywords : ;

   Abstract : Emerging Patterns (EPs) are itemsets (characteristics) whose supports change significantly from one dataset to another. They have been proposed for a very long time to capture multi-attribute contrasts between data classes or trends over time. READ MORE