Prediction of sales using Big data analytics

Journal Title: JOURNAL OF ADVANCES IN CHEMISTRY - Year 2016, Vol 12, Issue 20

Abstract

Social media is a main source of collecting big-data. Data analysis converting their bigger data  to smart data. Smart data is acquired with the help of Apache Flume, Apache hive and Apache HDFS, smart data increase the sales of Marketing industry. It helps product owner to analyze people’s opinion about their product and consumer can analyze the reviews of  product before purchase. If tweets came along with Location, data analyzed based on the location.

Authors and Affiliations

I. Karthika, P. Gokulraj, S. Saravanan

Keywords

Related Articles

Leucine: green and efficient catalyst for the synthesis of 4H-chromenes

Leucine, a naturally occurring α-amino acid, has been found as an effective catalyst to effect the one-pot three-component condensation reaction between aromatic aldehydes, malononitrile and 5,5-dimethyl-1,3-cyclohexane...

A Novel Generic Battery Modeling Approach for Power System Simulation Applications

Very large capacity energy storage systems are required in power systems for utility shaping when renewable energy systems like wind farms are not supporting sufficient generation. Energy storage systems are indispensibl...

BIG DATA ANALYTICS METHODS USING GPU : A COMPREHENSIVE SURVEY

Big data analytics is eventual discovery of knowledge from large set of data thus leading to business benefits. Its biggest challenge is the ability to provide information within reasonable time. The traditional analytic...

Synthesis and crystal structure of N1-tosylacetylamidrazone

The condensation of two molar equivalents of N1-tosylhydrazonate 1 with one molar equivalent of 1,2-diaminoethane give birth to amidrazone in good yields. The structure of the synthesized compound was identified by X-ray...

Corrosion inhibition studies and Solvation Analysis of Pyridine N-oxides by Polarizable Continuum Model method

Solvation analysis and corrosion inhibition studies has been carried out for pyridine N oxide, 3-carboxypyridine N-oxide and 2-methylpyridine N- oxide in polar and nonpolar solvents having a wide range of dielectric cons...

Download PDF file
  • EP ID EP652997
  • DOI 10.24297/jac.v12i20.591
  • Views 186
  • Downloads 0

How To Cite

I. Karthika, P. Gokulraj, S. Saravanan (2016). Prediction of sales using Big data analytics. JOURNAL OF ADVANCES IN CHEMISTRY, 12(20), 5237-5242. https://europub.co.uk./articles/-A-652997