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Adaptive Decision Forest(ADF) is an incremental machine learning framework called to produce a decision forest to classify new records. ADF is capable to classify new records even if they are associated with previously unseen classes. ADF also is capable of identifying and handling concept drift; it, however, does not forget previously gained kn…
This repo explains the implementation of Map-Reduce Algorithm on the AirBnb data to understand the consumer satisfaction region and country wise. This is the effective use of parallel distributed computing to resolve the big data problems
This repository contains a project showcasing the use of Big Data technologies in processing and visualizing real-time data from an eCommerce electronics store using tools such as Apache Kafka, Spark Streaming, Spark SQL, HBase, and Plotly
Real-time visual analytics application for link prediction and link detection in criminal networks. Research work accepted to the 5th IEEE International Conference on Future of Internet of Things and Cloud (FiCloud 2017).
Big Data Analysis of NYC Fire Incident data to analyze casual relationship between fires, govt. inspections, socio-ecnomic factors and enviroment. Used Hadoop MapReduce for data pre-processing, Trino for complex queries and Tableau for visualizations and interactive dashboards