Sökning: "Apriori algorithm"
Visar resultat 1 - 5 av 12 uppsatser innehållade orden Apriori algorithm.
1. Development of a data-driven marketing strategy for an online pharmacy
Magister-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : The term electronic commerce (e-commerce) refers to a business model that allows companies and individuals to buy and sell goods and services over the internet. The focus of this thesis is on online pharmacies, a segment of the ecommerce market. LÄS MER
2. Interesting Association Rules Mining Based on Improved Rarity Algorithm
Master-uppsats, Mittuniversitetet/Avdelningen för informationssystem och -teknologiSammanfattning : With the rapid development of science and technology, our society has been in the big data era. In human activities, we produce a lot of data in every second and every minute, what contain much information. Then, how to select the useful information from those complicated data is a significant issue. LÄS MER
3. Automated Bug Report Routing
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : As the software industry grows larger by the minute, the need for automated solutions within bug report management is on the rise. Although some research has been conducted in the area of bug handling, new, faster or more precise approaches are yet to be developed. LÄS MER
4. Automating debugging through data mining
M1-uppsats, KTH/Data- och elektroteknikSammanfattning : Contemporary technological systems generate massive quantities of log messages. These messages can be stored, searched and visualized efficiently using log management and analysis tools. The analysis of log messages offer insights into system behavior such as performance, server status and execution faults in web applications. LÄS MER
5. Machine-Learning Techniques for Customer Recommendations
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för datavetenskapSammanfattning : 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. LÄS MER