Year: 2010
Type: article
Abstract: Data Mining is the process of extracting patterns from data.There are many methods in Data Mining but our research mainly focuses on the classification methods.We present the existing data mining systems that are available and the missing features in those systems.An experiment in our research refers to a data mining task.In this research we present a system that manages data mining tasks.This research provides various advantages of managing the data mining tasks.The system to be dealt with in our research is the "Rule-based Data Mining System".We present all the existing features in the Rule-based Data Mining System, and show how the features are redesigned to manage the data mining tasks in the system.Some of the new features are managing the datasets accordingly with respective to the data mining task, recording the detail of every experiment held, giving a consolidated view of experiments held and providing a feature to retrieve any experiment with respect to a data mining task .After that we discuss the design and implementation of the system in detail.We present also the results obtained by using this system and the advantages of the new features.Finally all the features in the system are demonstrated with a suitable example.The main contribution of this thesis is to provide a management feature for a data mining system.
Author: Greeshma Myneni
Institution: University of Akron
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2599716002