Price prediction system – a predictive data analytics using arima model (Record no. 22740)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250429093701.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250429b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 25987 |
| Author | Vikranth, K. |
| 245 ## - TITLE STATEMENT | |
| Title | Price prediction system – a predictive data analytics using arima model |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.14(3), Jan |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Chennai |
| Name of publisher, distributor, etc. | ICT Academy |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 3304-3310p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | In India, agriculture represents the primary occupation of more than<br/>60% of the population. In terms of GDP, economic growth, traditional<br/>aspects, and social aspects, agriculture is essential for the country's<br/>development. The Indian farmers experienced numerous issues that<br/>have an impact on their way of life because the expansion in the<br/>agronomy business has not been as expected during the past two<br/>decades. Price fluctuation is one of the major issues faced by farmers,<br/>and as a result, they cannot get a reasonable price for their commodity.<br/>Also, it is very problematic to decide today without knowing the future<br/>price. So, this paper focused on finding a solution to the uncertainty<br/>problem in price faced by farmers that helps them take appropriate<br/>decisions during the farming process. The paper mainly concerns<br/>predictive data analytics using the ARIMA model, which predicts the<br/>price of areca nut products for the next 4 years using the past ten-year<br/>price dataset. The ARIMA model is a time series approach and a very<br/>appropriate framework for predicting future prices compared to other<br/>models. This paper includes a step-by-step procedure for the ARIMA<br/>techniques for forecasting price of agriculture commodity, and the<br/>outcomes are represented in the form of tables and graphical<br/>representations. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 26024 |
| Co-Author | Nethravathi, P. S. |
| 773 0# - HOST ITEM ENTRY | |
| Title | ICTACT Journal on Soft Computing (IJSC) |
| Place, publisher, and date of publication | Chennai ICT Academy |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://ictactjournals.in/paper/IJSC_Vol_14_Iss_3_Paper_10_3304_3310.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 29/04/2025 | 2025-0719 | 29/04/2025 | 29/04/2025 | Articles Abstract Database |