Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Diptikalyan Saha"'
Autor:
Diptikalyan Saha, Shiva Nejati
Publikováno v:
16th Innovations in Software Engineering Conference.
Publikováno v:
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD).
Data values in a dataset can be missing or anomalous due to mishandling or human error. Analysing data with missing values can create bias and affect the inferences. Several analysis methods, such as principle components analysis or singular value de
Publikováno v:
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD).
Publikováno v:
International Journal of Environmental Science and Technology. 19:829-838
Deterioration of metallic and non-metallic structures and monuments is largely controlled by their surrounding environment. The Taj Mahal, a UNESCO (United Nations Educational, Scientific and Cultural Organization) world heritage situated in Agra of
Autor:
Vasilis Efthymiou, Greg Stager, Abdul Quamar, Ashish Mittal, Diptikalyan Saha, Jaydeep Sen, Ayushi Dalmia, Chuan Lei, Karthik Sankaranarayanan, Fatma Ozcan
Publikováno v:
Proceedings of the VLDB Endowment. 13:2747-2759
Natural Language Interfaces to Databases (NLIDB) systems eliminate the requirement for an end user to use complex query languages like SQL, by translating the input natural language (NL) queries to SQL automatically. Although a significant volume of
Autor:
Samuel C. Hoffman, Kalapriya Kannan, Pranay Lohia, Kush R. Varshney, Stephanie Houde, Kuntal Dey, Moninder Singh, Diptikalyan Saha, Aleksandra Mojsilovic, John T. Richards, Sameep Mehta, Michael Hind, Yunfeng Zhang, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Seema Nagar, Rachel K. E. Bellamy
Publikováno v:
IEEE Software. 36:76-80
Today, machine-learning software is used to help make decisions that affect people's lives. Some people believe that the application of such software results in fairer decisions because, unlike humans, machine-learning software generates models that
Autor:
Ashish Mittal, Manasa Jammi, Diptikalyan Saha, Karthik Sankaranarayanan, Jaydeep Sen, Parag Jain
Publikováno v:
COMAD/CODS
In this paper, we present an automated technique for creating a chatbot interface to databases. To the best of our knowledge, our technique is the first one for bootstrapping chatbots for question answering on relational databases. Our method leverag
Publikováno v:
COMAD/CODS
Autoencoders have been used successfully for tackling the problem of anomaly detection in an unsupervised setting, and are often known to give better results than traditional approaches such as clustering and subspace-based (linear) methods. A data p
Publikováno v:
COMAD/CODS
Natural Language Querying over Database is gaining popularity across different use cases. Most common of them is to democratize the process of data analysis and querying of backend data to naive end users especially business users, obviating the need