Outputs (7)

Log based method for faster IoT queries (2017)
Presentation / Conference Contribution

With increase in size of Internet of Things IoT device networks and applications, tremendous increase is witnessed in IoT data. Efficient storage and querying of this data is of major concern. This paper addresses the issue of faster query processing... Read More about Log based method for faster IoT queries.

DWAHP: workload aware hybrid partitioning and distribution of RDF data (2017)
Presentation / Conference Contribution

Proliferation of RDF data has reached to a peak where data is partitioned across multiple nodes. Significant contribution for developing solutions to manage RDF data in distributed environment is witnessed in recent years. We propose a workload aware... Read More about DWAHP: workload aware hybrid partitioning and distribution of RDF data.

Deformable paint palette: Actuated force controls for digital painting (2017)
Presentation / Conference Contribution

This work-in-progress presents early findings on using deformable interfaces with force input to enhance interactions with digital painting applications. Our prototype uses deformation to submerge controls to represent paint pots, and emerge controls... Read More about Deformable paint palette: Actuated force controls for digital painting.

Sentiment analysis of citations using word2vec (2017)
Preprint / Working Paper

Citation sentiment analysis is an important task in scientific paper analysis. Existing machine learning techniques for citation sentiment analysis are focusing on labor-intensive feature engineering, which requires large annotated corpus. As an auto... Read More about Sentiment analysis of citations using word2vec.

Automatic argumentative-zoning using word2vec (2017)
Preprint / Working Paper

In comparison with document summarization on the articles from social media and newswire, argumentative zoning (AZ) is an important task in scientific paper analysis. Traditional methodology to carry on this task relies on feature engineering from di... Read More about Automatic argumentative-zoning using word2vec.

ScholarBase: Towards a cross-domain knowledgebase for linked scholarly data (2017)
Presentation / Conference Contribution

Linked Data has gained a significant momentum over the last years through various initiatives embraced by academia and industry as well. In this paper, we introduce ScholarBase, a research project in progress that is aimed to serve as a Linked Data r... Read More about ScholarBase: Towards a cross-domain knowledgebase for linked scholarly data.

Data-driven patient segmentation using K-means clustering: The case of hip fracture care in Ireland (2017)
Presentation / Conference Contribution

Machine learning continues to forge the future of decision making in a broad diversity of domains including healthcare. Data-driven methods are increasingly geared towards leveraging evidence-based insights from large volumes of patient data. In this... Read More about Data-driven patient segmentation using K-means clustering: The case of hip fracture care in Ireland.