Vasudha Bhatnagar

According to our database1, Vasudha Bhatnagar authored at least 50 papers between 1999 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Complex Network based Supervised Keyword Extractor.
Expert Syst. Appl., 2020

Divide and Conquer: From Complexity to Simplicity for Lay Summarization.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

NMF Ensembles? Not for Text Summarization!
Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019
sCAKE: Semantic Connectivity Aware Keyword Extraction.
Inf. Sci., 2019

Semi-automatic System for Title Construction.
CoRR, 2019

Extractive Document Summarization using Non-negative Matrix Factorization.
Proceedings of the Database and Expert Systems Applications, 2019

2018
Social centrality using network hierarchy and community structure.
Data Min. Knowl. Discov., 2018

2017
DASC: data aware algorithm for scalable clustering.
Knowl. Inf. Syst., 2017

Leveraging Hierarchy and Community Structure for Determining Influencers in Networks.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016
Cost-effectiveness of classification ensembles.
Pattern Recognit., 2016

Leveraging Structural Hierarchy for Scalable Network Comparison.
Proceedings of the Database and Expert Systems Applications, 2016

2015
Towards an optimally pruned classifier ensemble.
Int. J. Mach. Learn. Cybern., 2015

Discriminant analysis-based cluster ensemble.
Int. J. Data Min. Model. Manag., 2015

An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art.
Computing, 2015

Accurate Classification of Biological Data Using Ensembles.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Accuracy-diversity based pruning of classifier ensembles.
Prog. Artif. Intell., 2014

Clustering data streams using grid-based synopsis.
Knowl. Inf. Syst., 2014

Comparing Data Processing Frameworks for Scalable Clustering.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Exploratory Analysis of Light Curves: A Case-Study in Astronomy Data Understanding.
Proceedings of the Databases in Networked Information Systems - 9th International Workshop, 2014

2013
An Overview of the Commercial Cloud Monitoring Tools: Research Dimensions, Design Issues, and State-of-the-Art.
CoRR, 2013

2012
Scalable Clustering Using PACT Programming Model.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Mining of Multiobjective Non-redundant Association Rules in Data Streams.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Data Understanding using Semi-Supervised Clustering.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

Lattice Based Associative Classifier.
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

2011
Clustering Data Streams: A Second Look.
Proceedings of the 17th International Conference on Management of Data, 2011

A Parameterized Framework for Clustering Streams.
Proceedings of the Integrations of Data Warehousing, Data Mining and Database Technologies, 2011

2010
Comparing SVM ensembles for imbalanced datasets.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Robust Clustering Using Discriminant Analysis.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

VisTree: Generic Decision Tree Inducer and Visualizer.
Proceedings of the Databases in Networked Information Systems, 6th International Workshop, 2010

Mining Closed Itemsets in Data Stream Using Formal Concept Analysis.
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

2009
Towards Characterization of the Data Generation Process.
Proceedings of the Innovative Applications in Data Mining, 2009

Modeling the KDD Process.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Association Rule Mining.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Algorithms for Association Rule Mining.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A Parameterized Framework for Clustering Streams.
Int. J. Data Warehous. Min., 2009

Categorizing Concepts for Detecting Drifts in Stream.
Proceedings of the 15th International Conference on Management of Data, 2009

Identifying Structures with Informative Dimensions in Streams.
Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009

2007
Exclusive and Complete Clustering of Streams.
Proceedings of the Database and Expert Systems Applications, 18th International Conference, 2007

2006
Modeling support changes in streaming item sets.
Int. J. Syst. Sci., 2006

The impact of data mining techniques on medical diagnostics.
Data Sci. J., 2006

A Unified Approach for Discovery of Interesting Association Rules in Medical Databases.
Proceedings of the Advances in Data Mining, 2006

PBIRCH: A Scalable Parallel Clustering algorithm for Incremental Data.
Proceedings of the Tenth International Database Engineering and Applications Symposium (IDEAS 2006), 2006

2005
Architecture for knowledge discovery and knowledge management.
Knowl. Inf. Syst., 2005

A Hybrid Approach for Quantification of Novelty in Rule Discovery.
Proceedings of the Second World Enformatika Conference, 2005

Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

User Subjectivity in Change Modeling of Streaming Itemsets.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
Mining multiple table databases with multiple minimum support constraints.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2004

Novelty Framework for Knowledge Discovery in Databases.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

2002
Incremental information mining.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2002

1999
K-means Clustering Algorithm for Categorical Attributes.
Proceedings of the Data Warehousing and Knowledge Discovery, 1999


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