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Works (48)

A Survey on Semantics in Automated Data Science

arXiv preprint arXiv:2205.08018
2022 | Journal article
Source: Self-asserted source
Udayan Khurana

Semantic Feature Discovery with Code Mining and Semantic Type Detection

AAAI
2022 | Conference paper
Source: Self-asserted source
Udayan Khurana

Automated Data Science for Relational Data

2021 IEEE 37th International Conference on Data Engineering (ICDE)
2021 | Conference paper
Source: Self-asserted source
Udayan Khurana

How much automation does a data scientist want?

arXiv preprint arXiv:2101.03970
2021 | Journal article
Source: Self-asserted source
Udayan Khurana

Semantic Concept Annotation for Tabular Data

Proceedings of the 30th ACM International Conference on Information & Knowledge Management
2021 | Conference paper
Source: Self-asserted source
Udayan Khurana

Knowledge Aided Feature Engineering

2021-07 | Other
Source: Self-asserted source
Udayan Khurana

Methods and systems for feature engineering

2021-06 | Other
Source: Self-asserted source
Udayan Khurana

Autonomous Predictive Modeling via Reinforcement Learning

Proceedings of the 29th ACM International Conference on Information & Knowledge Management
2020 | Conference paper
Source: Self-asserted source
Udayan Khurana

Semantic Annotation for Tabular Data

arXiv preprint arXiv:2012.08594
2020 | Journal article
Source: Self-asserted source
Udayan Khurana

Semantic Search over Structured Data

Proceedings of the 29th ACM International Conference on Information & Knowledge Management
2020 | Conference paper
Source: Self-asserted source
Udayan Khurana

Survey on automated end-to-end data science?

2020 International Joint Conference on Neural Networks (IJCNN)
2020 | Conference paper
Source: Self-asserted source
Udayan Khurana

Automated Feature Enhancement for Predictive Modeling using External Knowledge

2019 International Conference on Data Mining Workshops (ICDMW)
2019 | Conference paper
Source: Self-asserted source
Udayan Khurana

Automating predictive modeling process using reinforcement learning

arXiv preprint arXiv:1903.00743
2019 | Journal article
Source: Self-asserted source
Udayan Khurana

How can ai automate end-to-end data science?

arXiv preprint arXiv:1910.14436
2019 | Journal article
Source: Self-asserted source
Udayan Khurana

Automatic enumeration of data analysis options and rapid analysis of statistical models

2019-07 | Other
Source: Self-asserted source
Udayan Khurana

Automatic enumeration of data analysis options and rapid analysis of statistical models

2019-07 | Other
Source: Self-asserted source
Udayan Khurana

Dataset Evolver: An Interactive Feature Engineering Notebook

AAAI 2018
2018 | Conference paper
Source: Self-asserted source
Udayan Khurana

Ensembles with Automated Feature Engineering

ICML International Workshop on Automatic Machine Learning
2018 | Conference paper
Source: Self-asserted source
Udayan Khurana

Historical Graph Management

Encyclopedia of Big Data Technologies
2018 | Conference paper
Source: Self-asserted source
Udayan Khurana

Transformation-based feature engineering in supervised learning: Strategies toward automation

Feature Engineering for Machine Learning and Data Analytics
2018 | Book chapter
Source: Self-asserted source
Udayan Khurana

Feature Engineering for Predictive Modeling using Reinforcement Learning

To appear in AAAI, also, arXiv preprint arXiv:1709.07150
2018-02-02 | Journal article
Source: Self-asserted source
Udayan Khurana

Learning Feature Engineering for Classification

International Joint Conference on Artificial Intelligence (IJCAI)
2017 | Conference paper
Source: Self-asserted source
Udayan Khurana

Cognito: Automated Feature Engineering for Supervised Learning

International Conference on Data Mining
2016 | Conference paper
Source: Self-asserted source
Udayan Khurana

Graph-based exploration of non-graph datasets

Proceedings of the VLDB Endowment
2016 | Journal article
Source: Self-asserted source
Udayan Khurana

Storing and Analyzing Historical Graph Data at Scale

19th International Conference on Extending Database Technology (EDBT)
2016 | Conference paper
Source: Self-asserted source
Udayan Khurana

Query suggestion for e-commerce sites

2016-04 | Other
Source: Self-asserted source
Udayan Khurana

Query suggestion for e-commerce sites

2016-03 | Other
Source: Self-asserted source
Udayan Khurana

Graphgen: Exploring interesting graphs in relational data

Proceedings of the VLDB Endowment
2015 | Journal article
Source: Self-asserted source
Udayan Khurana

Historical Graph Data Management

2015 | Dissertation or Thesis
Source: Self-asserted source
Udayan Khurana

Automatic enumeration of data analysis options and rapid analysis of statistical models

2015-06 | Other
Source: Self-asserted source
Udayan Khurana

FAQ: a framework for fast approximate query processing on temporal data

Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
2014 | Conference paper
Source: Self-asserted source
Udayan Khurana

READ: Rapid data Exploration, Analysis and Discovery

Extending Database Technology
2014 | Conference paper
Source: Self-asserted source
Udayan Khurana

Automatic enumeration of data analysis options and rapid analysis of statistical models

2014-10 | Other
Source: Self-asserted source
Udayan Khurana

Efficient Snapshot Retrieval over Historical Graph Data

ICDE'13. Proceedings of the 29th International Conference on Data Engineering 2013.
2013 | Conference paper
Source: Self-asserted source
Udayan Khurana

Hinge: enabling temporal network analytics at scale

Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
2013 | Conference paper
Source: Self-asserted source
Udayan Khurana

Cross lingual location search

2013-01 | Other
Source: Self-asserted source
Udayan Khurana

An introduction to temporal graph data management

Computer Science Department, University of Maryland MA thesis. Online at https://www. cs. umd. edu/sites/default/files/scholarly_papers/Khurana_SchPaper_1. pdf
2012 | Journal article
Source: Self-asserted source
Udayan Khurana

Optimizing display advertisements based on historic user trails

SIGIR Workshop on Internet Advertising
2011 | Conference paper
Source: Self-asserted source
Udayan Khurana

Speeding up network layout and centrality measures for social computing goals

International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction
2011 | Conference paper
Source: Self-asserted source
Udayan Khurana

Visual analysis of temporal trends in social networks using edge color coding and metric timelines

Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
2011 | Conference paper
Source: Self-asserted source
Udayan Khurana

Speeding up Network Layout and Centrality Measures with NodeXL and the Nvidia CUDA Technology

2010 | Report
Source: Self-asserted source
Udayan Khurana

Crosslingual location search

Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
2008 | Conference paper
Source: Self-asserted source
Udayan Khurana

Generalized location identification

2007-07 | Other
Source: Self-asserted source
Udayan Khurana

Determination of Sequential Pattern in Prime Numbers

Soft Computing
2005 | Journal article
Source: Self-asserted source
Udayan Khurana

Text compression and superfast searching

arXiv preprint cs/0505056
2005 | Journal article
Source: Self-asserted source
Udayan Khurana

Using patterns to generate prime numbers

International Conference on Pattern Recognition and Image Analysis
2005 | Conference paper
Source: Self-asserted source
Udayan Khurana

Automating Feature Engineering

Transformation
Journal article
Source: Self-asserted source
Udayan Khurana

NetEvViz: Extending NodeXL for Dynamic Network Visualization

Journal article
Source: Self-asserted source
Udayan Khurana

Peer review (1 review for 1 publication/grant)

Review activity for Machine learning. (1)