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Scalable Anomaly Detection in IoT Streams Using Apache Kafka and Spark

This M.Tech project topic focuses on Scalable Anomaly Detection in IoT Streams Using Apache Kafka and Spark. It belongs to the Big Data Analytics area within Data Science & Big Data. The…

Big Data Analytics

Abstract	This M.Tech project topic focuses on Scalable Anomaly Detection in IoT Streams Using Apache Kafka and Spark. It belongs to the Big Data Analytics area within Data Science & Big Data. The topic can be used for project selection, synopsis preparation, literature review, implementation planning, and dissertation documentation. Students can begin with the listed reference paper, understand the core research direction, and then customize the work using a suitable dataset, tools, evaluation metrics, and academic requirements.
Reference Paper	Spark: Cluster Computing with Working Sets
Domain	Data Science & Big Data
Sub-Domain	Big Data Analytics
PDF Download	Download / View PDF
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