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The proposed optimization algorithm is named rider chaotic biography optimization (RCBO) algorithm, which is the integration of the rider optimization algorithm (ROA) and the standard chaotic biogeography-based optimisation (CBBO). The proposed RCBO deep-stacked auto-encoder using Spark framework effectively handles the big data for attaining effective big data classification. Here, the proposed RCBO is employed for selecting suitable features from the massive dataset.<\/p>","DOI":"10.4018\/ijwsr.2021070103","type":"journal-article","created":{"date-parts":[[2021,8,2]],"date-time":"2021-08-02T14:39:40Z","timestamp":1627915180000},"page":"42-62","source":"Crossref","is-referenced-by-count":8,"title":["Rider Chaotic Biography Optimization-driven Deep Stacked Auto-encoder for Big Data Classification Using Spark Architecture"],"prefix":"10.4018","volume":"18","author":[{"given":"Anilkumar V","family":"Brahmane","sequence":"first","affiliation":[{"name":"Koneru Lakshmaiah Education Foundation, Guntur, India"}]},{"given":"Chaitanya B","family":"Krishna","sequence":"additional","affiliation":[{"name":"Koneru Lakshmaiah Education Foundation, Guntur, India"}]}],"member":"2432","reference":[{"key":"ijwsr.2021070103-0","first-page":"108","article-title":"\u201cThe long wait for Health in India\u201d-A study of waiting time for patients in a tertiary care hospital in Western India","volume":"7","author":"S.Bhambere","year":"2017","journal-title":"International Journal of Basic and Applied Research"},{"key":"ijwsr.2021070103-1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2836058"},{"key":"ijwsr.2021070103-2","doi-asserted-by":"crossref","unstructured":"Ca\u00edno-Lores, S., Carretero, J., Nicolae, B., Yildiz, O., & Peterka, T. 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