Poonam Goyal

TL;DR: This work proposes a novel framework for tag assignment using knowledge embedding (TAKE) from a proposed external knowledge base, considering properties such as Rarity, Newness, Generality, and Naturalness (RNGN properties), and constructs a simple yet effective Visio-Textual Knowledge Base (VTKB).

TL;DR: This paper proposes a dynamic distributed data structure, DD-Rtree, which preserves spatial locality while distributing data across compute nodes in a shared nothing environment and achieves better data distribution and thereby resulting in improved overall efficiency.

TL;DR: This work proposes a micro-cluster based DBSCAN algorithm, μDBSCAN, which identifies core-points even without performing neighbourhood queries and becomes instrumental in reducing the run-time of the algorithm, which significantly reduces the computation time per neighbourhood query while producing exact DBS CAN clusters.

TL;DR: This work proposes a novel approach Mythos that detects events, subevents within an event, and generates abstract summary and storyline to provide different perspectives for an event.

TL;DR: This paper presents a novel optimization of SLINK algorithm, GridSLINK, which is an order of magnitude faster than the existing state-of-the-art implementation and is benchmarked against the best existing parallel algorithm in literature and found to outperform the latter.