I10030789S19

Latest Tools for Data Mining and Machine Learning
Kanupriya Verma¹, Sahil Bhardwaj², Resham Arya³, Mir Salim U Islam⁴, Megha Bhushan⁵, Ashok Kumar⁶, Piyush Samant⁷

¹Kanupriya Verma, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.

²Sahil Bhardwaj, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.

³Resham Arya, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.

⁴Mir Salim U Islam, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.

⁵Megha Bhushan, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.

⁶Ashok Kumar,  Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.

⁷Piyush Samant, Chandigarh University, Punjab India.

Manuscript received on 09 August 2019 | Revised Manuscript received on 17 August 2019 | Manuscript Published on 26 August 2019 | PP: 18-23 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10030789S19/19©BEIESP DOI: 10.35940/ijitee.I1003.0789S19

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Nowadays, Data Mining is used everywhere for extracting information from the data and in turn, acquires knowledge for decision making. Data Mining analyzes patterns which are used to extract information and knowledge for making decisions. Many open source and licensed tools like Weka, RapidMiner, KNIME, and Orange are available for Data Mining and predictive analysis. This paper discusses about different tools available for Data Mining and Machine Learning, followed by the description, pros and cons of these tools. The article provides details of all the algorithms like classification, regression, characterization, discretization, clustering, visualization and feature selection for Data Mining and Machine Learning tools. It will help people for efficient decision making and suggests which tool is suitable according to their requirement.

Keywords: Data Mining, Open Source Tools, Licensed Tools, Machine Learning.
Scope of the Article: Data Mining Methods, Techniques, and Tools