Publications

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Classification Aware Clustering for Risk Prediction and Subtyping in Clinical Data. WITS, 2023.

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MEMSTREAM: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift. The Web Conference (WWW), 2022.

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Classification Aware Clustering for Risk Prediction and Subtyping in Clinical Data. arXiv, 2021.

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Anytime Frequent Itemset Mining of Transactional Data Streams. Big Data Research (IF: 2.952), In Press, 2020.

Extracting Addresses from Unstructured Text using Bi-directional Recurrent Neural Networks. The IEEE International Conference on Data Mining (ICDM) PhD. Forum, Singapore, 2018.

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Studying the Role of Kinect as a Multi-Sensory Learning Platform for Children (Poster). The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Singapore, 2018.

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On the Learning Capabilities of Recurrent Neural Networks- A Cryptographic Perspective. The IEEE International Conference on Big Knowledge (ICBK), Singapore, 2018.

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AnyFI- An Anytime Frequent Itemset Mining Algorithm for Data Streams. IEEE International Conference on Big Data, Boston, MA, USA, 2017.

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A novel PSO based algorithm to find initial seeds for the k-means clustering algorithm. The International Conference on Communication and Computing Systems (ICCCS), India, 2016.

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