Comparative Analysis Of Data Mining Tools - 1685 Words

Comparative Analysis of Data Mining Tools Research Paper 11/16/2015 Dr. Kweku-Muata Osei-Bryson 1. Executive Summary This research paper is about the Comparative analysis of three data mining software’s selected based on four important criteria Performance, Functionality, Usability and Ancillary Tasks support. â€Å"Data Mining is a field of study that is gaining importance and is used to explore data in search of patterns or relationships between variables and is applied to new data used for predictions†. (Statistics – Textbook. (n.d.). Retrieved November 17, 2015). Selection of the appropriate data mining tools is critical to any research or business and this could impact the business in terms of money, resources and time. Data experts†¦show more content†¦Hence, different tools have to be used in different scenarios. Each tool varies according to the environment and the problem type and its nature. A comprehensive framework has been used to select the best tool and it employs research and findings through numerous questions about each tool. Each tool is then evaluat ed based on the criteria and assigned a rank and an overall score is calculated thus providing results on the credibility of the tools. Hence, we get to identify the strength and weakness of each tool in this research and finalize the weighted average of these tools. A sample case study too has been shown using the same framework to find the best tool. The author of the research paper believes that this framework could help in identifying and selecting the best tools based on the given criteria. A Likert scale of 1 to 5 has been used in this framework to rank the tools based on their functioning. Hence, selecting the right software helps in better decision making and also helps businesses sustain in terms of its resources. 2. Table of Contents 1. Executive Summary 2 3. Introduction 4 3.1 Objectives of the paper 4 3.2 List of Three Decision tree induction software 5 3.3 Limitations of the paper 6 4. Overview on DT induction 7 5. Evaluation criteria 8 5.1 Set of criteria 8 5.2 Definition for each criterion 9 6. Description of the DT induction software 10 6.1 DT