Scalable Anomaly Detection in IoT Streams Using Apache Kafka and Spark — Project Overview
| 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 |
| Get Help |
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This resource helps students quickly understand the project idea, reference paper direction, and next step for implementation, synopsis, report writing, or academic documentation support.
