| Title | Prof. | First Name | Vasudha | Last Name | Bhatnagar |
|
|
|---|---|---|---|---|---|---|---|
| Designation | Senior Professor | ||||||
| Department | Department of Computer Science | ||||||
| vbhatnagar@cs.du.ac.in | |||||||
| Webpage | |||||||
| Phone.no | 27667591 EXT 107 | ||||||
| Employement Info | |||||||
|---|---|---|---|---|---|---|---|
| Employee Type | Nature Of Employment | ||||||
| Teaching | Permanent | ||||||
| Educational | |||||||
|---|---|---|---|---|---|---|---|
| Degree/Certification | Institution | Year | |||||
| Ph.D. - Intension Mining: A New Approach to Knowledge Discovery in Databases | Jamia Millia Islamia | 2001 | |||||
| PG | Delhi University | 1985 | |||||
| UG | Delhi University | 1982 | |||||
| HSC | CBSE | 1979 | |||||
| SSC | CBSE | 1977 | |||||
| Research Publications | |||||||
|---|---|---|---|---|---|---|---|
| Article Name | Publication Type | Journal Name | ISSN No | Volume | Year | URL | DOI |
| Results from the supernova photometric classification challenge | Research Papers in Peer Reviewed Journals | Publications of the Astronomical Society of the Pacific | 122 | 2010 | |||
| The impact of data mining techniques on medical diagnostics | Research Papers in Peer Reviewed Journals | Data Science Journal | 5 | 2006 | |||
| Analysis of medical data using data mining and formal concept analysis | Research Papers in Peer Reviewed Journals | World Academy of Science, Engineering and Technology | 11 | 2005 | |||
| Architecture for knowledge discovery and knowledge management | Research Papers in Peer Reviewed Journals | Knowledge and Information Systems | 7 | 2005 | |||
| Intension mining: a new paradigm in knowledge discovery | Research Papers in Peer Reviewed Journals | 2000 | |||||
| Novelty as a measure of interestingness in knowledge discovery | Research Papers in Peer Reviewed Journals | World Academy of Science, Engineering and Technology | 21 | 2006 | |||
| A parameterized framework for clustering streams | Research Papers in Peer Reviewed Journals | International Journal of Data Warehousing and Mining (IJDWM) | 5 | 2009 | |||
| Modeling support changes in streaming item sets | Research Papers in Peer Reviewed Journals | International journal of systems science | 37 | 2006 | |||
| On mining of data | Research Papers in Peer Reviewed Journals | IETE Journal of Research | 47 | 2001 | |||
| Gradation framework for anomaly detection in streams | Research Papers in Peer Reviewed Journals | Intelligent Systems | 2008 | ||||
| Classification and Model Estimation-Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis | Research Papers in Peer Reviewed Journals | Lecture Notes in Computer Science | 3587 | 2005 | |||
| Clustering data streams using grid-based synopsis | Research Papers in Peer Reviewed Journals | Knowledge and information systems | 41 | 2014 | |||
| Automated stellar classification tools and their inter-comparison | Research Papers in Peer Reviewed Journals | 2012 | |||||
| An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art | Research Papers in Peer Reviewed Journals | Computing | 97 | 2015 | |||
| Accuracy--diversity based pruning of classifier ensembles | Research Papers in Peer Reviewed Journals | Progress in Artificial Intelligence | 2 | 2014 | |||
| Intension mining | Research Papers in Peer Reviewed Journals | TR No. IITD/CSE/TR2000/001 | 2000 | ||||
| How do eubacterial organisms manage aggregation-prone proteome? | Research Papers in Peer Reviewed Journals | F1000Research | 3 | 2014 | |||
| Towards an optimally pruned classifier ensemble | Research Papers in Peer Reviewed Journals | International Journal of Machine Learning and Cybernetics | 6 | 2015 | |||
| Discriminant analysis-based cluster ensemble | Research Papers in Peer Reviewed Journals | International Journal of Data Mining, Modelling and Management | 7 | 2015 | |||
| Cost-effectiveness of classification ensembles | Research Papers in Peer Reviewed Journals | Pattern Recognition | 57 | 2016 | |||
| DASC: data aware algorithm for scalable clustering | Research Papers in Peer Reviewed Journals | Knowledge and Information Systems | 50 | 2017 | |||
| How do eubacterial organisms manage aggregation-prone proteome?[version 1; referees: 2 approved] | Research Papers in Peer Reviewed Journals | 2014 | |||||
| Social centrality using network hierarchy and community structure | Research Papers in Peer Reviewed Journals | Data Mining and Knowledge Discovery | 32 | 2018 | |||
| sCAKE: semantic connectivity aware keyword extraction | Research Papers in Peer Reviewed Journals | Information Sciences | 477 | 2019 | |||
| On mining of data | Research Papers in Peer Reviewed Journals | IETE J RES | 47 | 2001 | |||
| Data Mining in Medicine-A Unified Approach for Discovery of Interesting Association Rules in Medical Databases | Research Papers in Peer Reviewed Journals | Lecture Notes in Computer Science | 4065 | 2006 | |||
| Identifying similar networks using structural hierarchy | Research Papers in Peer Reviewed Journals | Physica A: Statistical Mechanics and its Applications | 536 | 2019 | |||
| Complex network based supervised keyword extractor | Research Papers in Peer Reviewed Journals | Expert Systems with Applications | 140 | 2020 | |||
| Intension Mining | Research Papers in Peer Reviewed Journals | 2017 | |||||
| Similar cases recommendation using legal knowledge graphs | Research Papers in Peer Reviewed Journals | arXiv preprint arXiv:2107.04771 | 2021 | ||||
| Investigating entropy for extractive document summarization | Research Papers in Peer Reviewed Journals | Expert Systems with Applications | 187 | 2022 | https://www.sciencedirect.com/science/article/abs/pii/S0957417421011866 | https://doi.org/10.1016/j.eswa.2021.115820 | |
| Ffcd: A fast-and-frugal coherence detection method | Research Papers in Peer Reviewed Journals | IEEE Access | 10 | 2021 | https://ieeexplore.ieee.org/document/9648177 | 10.1109/ACCESS.2021.3135048. | |
| Quantitative Discourse Cohesion Analysis of Scientific Scholarly Texts using Multilayer Networks | Research Papers in Peer Reviewed Journals | IEEE Access | 10 | 2022 | https://ieeexplore.ieee.org/document/9857833 | 10.1109/ACCESS.2022.3198952. | |
| Coupling Fear and Contagion for Modeling Epidemic Dynamics | Research Papers in Peer Reviewed Journals | IEEE Transactions on Network Science and Engineering | 2022 | ||||
| Publications other than journal articles | |||||||
|---|---|---|---|---|---|---|---|
| Title of Publication | Type of Publication | Publisher | Role in Publication | ISBN Number | Year | URL | Level |
| Divide and conquer: From complexity to simplicity for lay summarization | Full Paper in Conference Proceedings/Other | 2020 | |||||
| NMF Ensembles? Not for Text Summarization! | Full Paper in Conference Proceedings/Other | 2020 | |||||
| Extractive document summarization using non-negative matrix factorization | Full Paper in Conference Proceedings/Other | Springer, Cham | 2019 | ||||
| Semi-automatic System for Title Construction | Full Paper in Conference Proceedings/Other | Springer, Singapore | 2019 | ||||
| Leveraging hierarchy and community structure for determining influencers in networks | Full Paper in Conference Proceedings/Other | Springer, Cham | 2017 | ||||
| Leveraging structural hierarchy for scalable network comparison | Full Paper in Conference Proceedings/Other | Springer, Cham | 2016 | ||||
| Big data analytics | Full Paper in Conference Proceedings/Other | 2015 | |||||
| Accurate classification of biological data using ensembles | Full Paper in Conference Proceedings/Other | IEEE | 2015 | ||||
| Stream clustering algorithms: A primer | Text/Reference/Subject Books/Other | Springer, Cham | 2015 | ||||
| Comparing data processing frameworks for scalable clustering | Full Paper in Conference Proceedings/Other | 2014 | |||||
| Exploratory Analysis of Light Curves: A Case-Study in Astronomy Data Understanding | Full Paper in Conference Proceedings/Other | Springer, Cham | 2014 | ||||
| Scalable clustering using pact programming model | Full Paper in Conference Proceedings/Other | IEEE | 2012 | ||||
| Big data analytics | Full Paper in Conference Proceedings/Other | 2012 | |||||
| Mining of multiobjective non-redundant association rules in data streams | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2012 | ||||
| Lattice based associative classifier | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2012 | ||||
| Data understanding using semi-supervised clustering | Full Paper in Conference Proceedings/Other | IEEE | 2012 | ||||
| Clustering Data Streams: A Second Look. | Full Paper in Conference Proceedings/Other | 2011 | |||||
| Mining closed itemsets in data stream using formal concept analysis | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2010 | ||||
| Vistree: Generic decision tree inducer and visualizer | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2010 | ||||
| Robust clustering using discriminant analysis | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2010 | ||||
| Comparing SVM ensembles for imbalanced datasets | Full Paper in Conference Proceedings/Other | IEEE | 2010 | ||||
| Association Rule Mining | Text/Reference/Subject Books/Other | IGI Global | 2009 | ||||
| An efficient classifier ensemble using SVM | Full Paper in Conference Proceedings/Other | IEEE | 2009 | ||||
| Modeling the kdd process | Text/Reference/Subject Books/Other | IGI Global | 2009 | ||||
| Categorizing Concepts for Detecting Drifts in Stream. | Full Paper in Conference Proceedings/Other | 2009 | |||||
| Identifying Structures with Informative Dimensions in Streams | Full Paper in Conference Proceedings/Other | IEEE | 2009 | ||||
| Algorithms for Association Rule Mining | Text/Reference/Subject Books/Other | IGI Global | 2009 | ||||
| Towards Characterization of the Data Generation Process | Text/Reference/Subject Books/Other | Springer, Berlin, Heidelberg | 2009 | ||||
| Beyond mining: Characterizing the data generation process | Full Paper in Conference Proceedings/Other | IEEE | 2007 | ||||
| An Efficient Interestingness based Algorithm for Mining Association Rules in Medical Databases | Text/Reference/Subject Books/Other | Springer, Dordrecht | 2007 | ||||
| Pdod: Tree based algorithm for outlier detection | Full Paper in Conference Proceedings/Other | 2007 | |||||
| Exclusive and complete clustering of streams | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2007 | ||||
| Fast construction of concept lattice | Full Paper in Conference Proceedings/Other | 2006 | |||||
| A unified approach for discovery of interesting association rules in medical databases | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2006 | ||||
| Pbirch: a scalable parallel clustering algorithm for incremental data | Full Paper in Conference Proceedings/Other | IEEE | 2006 | ||||
| A Hybrid Approach for Quantification of Novelty in Rule Discovery. | Full Paper in Conference Proceedings/Other | 2005 | |||||
| Incremental classification rules based on association rules using formal concept analysis | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2005 | ||||
| User subjectivity in change modeling of streaming itemsets | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2005 | ||||
| Mining multiple table databases with multiple minimum support constraints | Full Paper in Conference Proceedings/Other | SPIE | 2004 | ||||
| Novelty framework for knowledge discovery in databases | Full Paper in Conference Proceedings/Other | Springer, Berlin, Heidelberg | 2004 | ||||
| Incremental information mining | Full Paper in Conference Proceedings/Other | SPIE | 2002 | ||||
| A propasal for Data Mining Management System | Full Paper in Conference Proceedings/Other | 2001 | |||||
| User-centric mining of association rules | Full Paper in Conference Proceedings/Other | 2000 | |||||
| K-means clustering algorithm for categorical attributes | Full Paper in Conference Proceedings/Other | LNCS 1676, Springer Berlin Heidelberg | 1999 | ||||
| K-means Clustering Algorithm for Categorical | Full Paper in Conference Proceedings/Other | Springer Science \& Business Media | 1999 | ||||
| Professional development programmes | |||||||
|---|---|---|---|---|---|---|---|
| Title of the Programme | Sponsoring Institution | Organising Institution | Association as | type | |||
| Leadership for Academicians Programme | University of Delhi | University of Delhi | Attending | Other | |||
| Honour And Awards | |||||||
|---|---|---|---|---|---|---|---|
| Name of the Award | Name of the Awarding Body | Award Category | Level | Date of Award | |||
| MLN-DIVE | IT Lab, University of Texas, Arlington | Extension | National | 2022-06-03 | |||
| UGC-Human Resource Development Centre (HRDC) | Guru Nanak Dev University, Amritsa | Extension | National | 2022-03-03 | |||
| Deptt. of Computer Science, University of Allahabad. | Deptt. of Computer Science, University of Allahabad. | Extension | National | 2021-11-26 | |||
| University of Kashmir | Refresher Course in IT (Inter-disciplinary) , University of Kashmir | Extension | National | 2021-03-10 | |||
| Panjab University | FDP in ‘Artificial Intelligence in Human Life’, | Extension | National | 2020-10-09 | |||
| Ramanujam College, University of Delhi | Recent Advances In Research Methodology, Two-week Faculty Development Programme, | Extension | National | 2020-01-20 | |||
| IIIT Allhabad, 13 Aug 2019. | Summer school on "Big Data Analytics and Stream Processing: Tools, Techniques and Applications" | Extension | National | 2019-08-13 | |||
| IIIT-Delhi. | AI Assisted Data Analytics Summer School | Extension | National | 2019-07-14 | |||
| Epitech University, Paris, France | Epitech University, Paris, France | Extension | National | 2018-12-13 | |||
| University of Delhi | Faculty Development Program on Network Science, Deptt of CS, University of Delhi | Extension | National | 2018-12-05 | |||