Article

Data Product: Analysis, Visualization and Prediction

Author(s):

Tejal Agrawal, Atharva College of Engineering; Akshen Doke ,Atharva college of engineering; Ashish Gaikwad ,Atharva college of engineering; Prof. Mahendra Patil ,Atharva college of engineering

Keywords

Data Mining; Data cleaning; data analysis; data visualization; acquisition; serialization

Abstract

Today information technology is developing rapidly and adopting application of IT has created a significant revolution in many fields including business. One of the emerging and promising technology that provide efficient means to access various types of data and information all over the world is Data mining which also helps in decision making. The Objective of this paper is to provide a cross platform for data cleaning, analysis and visualization. This tool helps data scientist to come up with a solution to big data related issues by analyzing the output and predicting the trends. This tool will run on all major platforms which will enable the user to analyze data at one’s ease

Reference

    [1] Analytical Review of Data Visualization Methods in Application to Big Data, Evgeniy Yur’evich Gorodov and Vasiliy Vasil’evich Gubarev, Journal of Electrical and Computer EngineeringVolume 2013 (2013), Article ID 969458 [2] Data visualization, Zhao Kaidi School of Computing, National University of Singapore, Matrix Number:HT006177E [3] O'Neil, Cathy and, Schutt, Rachel (2014). Doing Data Science. O'Reilly.ISBN 978-1-449-35865-5. [4] http://www.businessdictionary.com/definition/dataanalysis.html [5] Ian H. Witten; Eibe Frank; Mark A. Hall (2011). "Data Mining: Practical machine learning tools and techniques, 3rd Edition". Morgan Kaufmann, San Francisco. Retrieved 2011-01-19 [6] Surajit Chaudhuri and Umeshwar Dayal (1997). "An overview of data warehousing and OLAP technology". SIGMOD Rec. (ACM) 26 (1): 65. [7] www.sas.com/en_us/insights/big-data/data visualization.html [8] Rahm, E., & Hai Do, H. University of Leipzig, Germany, (n.d.). Data cleaning: Problems and current approaches. [9] www.bigdata4analytics.com/uploads/2/1/9/2/21928796/ data_visualisation.pdf [10] http://www.ijarcsse.com/docs/papers/Volume_4/6_June2014/V4I6-0145.pdf

Other Details

Paper ID: GRDJEV01I050065
Published in: Volume : 1, Issue : 5
Publication Date: 2016-05-01
Page(s): 59 - 66

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