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IJSRP, Volume 9, Issue 11, November 2019 Edition [ISSN 2250-3153]



      Pascal Sindayiheba, Jean De Dieu Rwamasunzu, Dr. Papias Niyigena

Abstract: Several works using different tools with various algorithms and models, worked on forecast of agricultural areas include crop yield. However, their findings still need improvement for more accurate performance. Precisely predicting the change of CPI is significant to many aspects of economics, some examples include fiscal policy, financial markets and productivity. In this study, we are conducting an analytical study to discover which factor is most affecting changes of Consumer Price Index for Rwanda and make prediction of CPI for 2019 to 2025. The dataset is extracted from online platform of World Bank on world economy, especially for Rwanda (1990 - 2018).

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Pascal Sindayiheba, Jean De Dieu Rwamasunzu, Dr. Papias Niyigena (2019); Analytical Study and Prediction of Consumer Price Index for Rwanda Using Data Mining Techniques; International Journal of Scientific and Research Publications (IJSRP) 9(11) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.9.11.2019.p95117

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