Work place: Department of Computer Science & Engineering, IIIT Bhubaneswar, India
Research Interests: Computational Science and Engineering, Computational Engineering, Engineering
Sai Siddhant panda is an enthusiast in the field of Machine Learning and is an undergraduate from IIIT Bhubaneswar. He holds a Bachelors of Technology Degree in computer science engineering. He completed his degree in the year 2017. He successfully completed a couple of months internship at a media channel start-up as a blog developer in a company “OdishaLive”, situated at Bhubaneswar, currently he is working as a Research Intern at CloudThat Technologies PVT LTD. He can be reached by firstname.lastname@example.org.
DOI: https://doi.org/10.5815/ijisa.2018.07.08, Pub. Date: 8 Jul. 2018
The present scenario there is a serious need of scalability for efficient analytics of big data. In order to achieve this, technology like MapReduce, Pig and HIVE came into action but when the question comes to scalability; Apache Spark maintains a great position far ahead. In this research paper, it has designed and developed an improved hybrid distributed collaborative model for filtering recommender engine. Execution time, scalability and robustness of the engine are the three evaluation parameters; has been considered for this present study. The present work keeps an eye on recommender system built with help of Apache Spark. Apart from this, it has been proposed and implemented the bisecting KMeans clustering algorithms. It has discussed about the comparative analysis between KMeans and Bisecting KMeans clustering algorithms on Apache Spark environment.[...] Read more.
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