Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stock market prediction using subtractive clustering for a neuro fuzzy hybrid approach Subject The topic of the resource ANFIS training method; Neuro fuzzy approach; Stock market prediction; Technical indicators Description An account of the resource Stock market prediction is the challenging area for the investors to yield profits in the financial markets. The investors need to understand the financial markets which are more volatile and affected by many external factors. This paper proposes a subtractive clustering based adaptive neuro fuzzy approach for predicting apple stock data prices. The research data used in this study is from 3rd Jan 2005 to 30th Jan 2015. Four technical indicators are proposed in this study. They are Simple moving average for 1week, simple moving average for 2weeks, 14days Disparity and Larry Williams R%. These variables are used as inputs to the neuro fuzzy system to predict the daily apple stock prices. Also, this study compares the proposed work with the ANFIS training method and subtractive clustering method etc. The performance of all these models is analyzed. The measures like training error, testing error, number of rules and number of parameters are calculated and compared for analysis. From the simulation results, the average performance of subtractive clustering based neuro fuzzy approach was found considerably better than the other networks. 2017, Springer Science+Business Media, LLC. Creator An entity primarily responsible for making the resource Chandar S.K. Source A related resource from which the described resource is derived Cluster Computing, Vol-22, pp. 13159-13166. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10586-017-1321-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10586-017-1321-6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033572347&amp;doi=10.1007%2Fs10586-017-1321-6&amp;partnerID=40&amp;md5=62b0aca48d64ccd9964a4345b43a2fb0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033572347&amp;doi=10.1007%2fs10586-017-1321-6&amp;partnerID=40&amp;md5=62b0aca48d64ccd9964a4345b43a2fb0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13867857 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chandar S.K., Department of Management Studies, Christ University, Bengaluru, India