Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis
PaperId: :  9407
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 1 2019
DUI:    16.0415/IJARIIE-9407
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shradha Shriniwas ModakSinhagad Institute of Technology and Science
G.M.KadamSinhagad Institute of Technology and Science

Abstract

Computer engineering
mining enterprises, technical and economic data, prediction models, BP neural network
Property of the particular and money related data of mining ventures both are multi-dimensionality and nonlinearity. The business value information of mineral items is a vital financial pointer of mining endeavors, and the geological information is essential specialized information. The examination methodology for specialized and monetary information is inquired about utilizing advances of Hadoop and data mining. There is change design and affecting parameters of the mineral items cost are examined. ANN is use to determine the mineral product prizing based on prediction model. The outcomes show that the practicability of the expectation show is solid, and the forecast accuracy is high. During the process of mineral development, due to the limitation of technical conditions and equipment conditions, lots of geological data have been lost, which reduces the accuracy of the orebody shape and that of reserves approximation. Depend on techniques of geostatistics and artificial neural network, the prediction model of the land or geological missing data is established. By using the forecast model, the regularity of geological data of single borehole, group boreholes and all boreholes s talked about and dissected. This paper depicts the literature analysis of prediction of geological missing data of mineral products and their cost and results of prediction and interpolation are reliable.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Shradha Shriniwas Modak, and G.M.Kadam. "Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 1 2019 Page 71-75
MLA Shradha Shriniwas Modak, and G.M.Kadam. "Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis." International Journal Of Advance Research And Innovative Ideas In Education 5.1(2019) : 71-75.
APA Shradha Shriniwas Modak, & G.M.Kadam. (2019). Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis. International Journal Of Advance Research And Innovative Ideas In Education, 5(1), 71-75.
Chicago Shradha Shriniwas Modak, and G.M.Kadam. "Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 1 (2019) : 71-75.
Oxford Shradha Shriniwas Modak, and G.M.Kadam. 'Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 1, 2019, p. 71-75. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Statistic_Analysis_of_Mineral_Source_in_Data_mining_Using_Hadoop_Analysis_ijariie9407.pdf (Accessed : 31 January 2019).
Harvard Shradha Shriniwas Modak, and G.M.Kadam. (2019) 'Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis', International Journal Of Advance Research And Innovative Ideas In Education, 5(1), pp. 71-75IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Statistic_Analysis_of_Mineral_Source_in_Data_mining_Using_Hadoop_Analysis_ijariie9407.pdf (Accessed : 31 January 2019)
IEEE Shradha Shriniwas Modak, and G.M.Kadam, "Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 1, pp. 71-75, Jan-Feb 2019. [Online]. Available: http://ijariie.com/AdminUploadPdf/Statistic_Analysis_of_Mineral_Source_in_Data_mining_Using_Hadoop_Analysis_ijariie9407.pdf [Accessed : 31 January 2019].
Turabian Shradha Shriniwas Modak, and G.M.Kadam. "Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 1 (31 January 2019).
Vancouver Shradha Shriniwas Modak, and G.M.Kadam. Statistic Analysis of Mineral Source in Data mining Using Hadoop Analysis. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 31 January 2019]; 5(1) : 71-75. Available from: http://ijariie.com/AdminUploadPdf/Statistic_Analysis_of_Mineral_Source_in_Data_mining_Using_Hadoop_Analysis_ijariie9407.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 1/31/2019 11:11:30 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review of Automated Plant Disease Detection Using Camera-Based Systems for Scalable Farm AutomationComputer EngineeringMohammed Taha Ahmed Download
ENHANCE ETHANOL PURITY WITH TEA POWDER ADSORBTIVE DISTILLATION.Chemical EngineeringKatore Tejas Download
IOT Enabled Smart Helmet For Miners SafetyComputer EngineeringDhruv Verma Download
Deep Learning Based Web Application for Hand Sign RecognitionComputer Engineering Mrs.Sonali Salunkhe Download
WIREFRAME INTERPRETATION AND FRONTEND CODE GENERATIONComputer EngineeringK. Archana Download
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
Integrating Deep Learning with Nanotechnology for Virus Detectionmachine learningAkash Kumar Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.