Predictive Algorithm for Trend Detection

Manjunath H N, Nayana M, Nehataj Anjum Banu P, Ramya K

Abstract: Trend Detection is the method for the analysis of the different forms of data in various fields such as machine learning, data mining, image processing/analysis. In this process data can be structured or unstructured, in order to work on different variants in data forms clustering is used for the trend detection. Clustering can be defined as a process of grouping entities of similar type into separate groups or it is just method of partitioning of a data set into subsets, so that the data in each subset according to specific defined distance measure. And we predict using the predictive algorithm techniques or methods in Trend Detection for collected information in different fields like social media blogs and we collect the major issues and the data that is whats happened previously for that related issues and the present data and we predict using prediction method called Naive Bayes. Our primary aims the accuracy and the quality of recommendations of the predictive component.

Keywords: Clustering, Trend detection, Prediction, Grouping

How to Cite?: Manjunath H N, Nayana M, Nehataj Anjum Banu P, Ramya K, "Predictive Algorithm for Trend Detection", Volume 6 Issue 4, April 2017, International Journal of Science and Research (IJSR), Pages: 552-555, https://www.ijsr.net/getabstract.php?paperid=ART20172374, DOI: https://dx.doi.org/10.21275/ART20172374