Current
Research Interests: Complex Networks, Network
Science, Evolving Graphs, Text Analytics
PhD
Supervision
|
Sr. No. |
Title of the Thesis |
Scholar |
Status |
|
1 |
On Quantification of Novelty in Knowledge Discovery Process (jointly with Dr. Naveen Kumar) |
Ahmed-Al-Hegami |
Completed 2006 |
|
2 |
Towards characterization of the data generation process for evolving data sets |
Sarabjeet Kochhar |
Completed 2010 |
|
3 |
Leveraging grid structure for clustering of data streams |
Completed 2011 |
|
|
4 |
Novel Algorithms for Cluster Ensembles and their Applications |
Sangeeta Ahuja |
Completed 2013 |
|
5 |
Mining Association rules using Formal Concept Analysis (jointly with Dr. Naveen Kumar) |
Anamika Gupta |
Completed 2013 |
|
6 |
Design and Comparative Analysis of Classification Ensembles (Jointly with Dr. D Dash) |
Manju Bharadwaj |
Completed 2018 |
|
7 |
Social Network analysis (jointly with Dr. Sharanjit Kaur) |
Ongoing (Since 2014) |
|
|
8 |
Analyzing Text in Government Documents |
Ongoing (Since 2015) |
|
|
9 |
Text Summarization |
Alka Khurana |
Ongoing (Since 2016) |
|
10 |
Algorithms for Evolving Graphs |
Divya Kwatra |
Ongoing (Since 2017) |
I have
supervised the following MSc dissertations
|
Sr. No |
Title of the Thesis |
Scholar |
Year |
|
1 |
Parallel implementation of Birch Algorithm (jointly with Dr. Neelima Gupta) |
Ashish Mangla |
2005-06 |
|
2 |
PDOD: Tree based outlier detection algorithm |
Deepali and Pankaj Singhal |
2006-07 |
|
3 |
Outlier detection in data streams |
Sushant Bhatnagar & Shruti Saraf |
2007-08 |
|
4 |
Clustering of data streams |
Aastha Madaan & Charu Tandon |
2007-08 |
|
5 |
Incremental algorithm for summarizing social networks |
Apoorva & Anjul |
2008-09 |
|
6 |
Visual analysis of Wikipedia (jointly with Dr. Naveen Kumar) |
Rajesh & Shikha |
2008-09 |
|
7 |
Analysing astronomy data using SVM |
Tanu Grover & Trasha Gupta |
2008-09 |
|
8 |
Diversity in Classification Ensembles |
Ankit Mahajan & Avinash |
2009-10 |
|
9 |
VisTree: Visualization of decision Tree |
Eman Zaman & Yayati Rajpal |
2009-10 |
|
10 |
Accuracy and Diversity Based Ensembles |
Shivam Sharma & Sufyan Haroon |
2010-11 |
|
11 |
Game theoretic approach for Classification Ensembles |
Latika Gupta & Prashant Singh |
2010-11 |
|
12 |
Data Mining Algorithms in Startosphere (Jointly with Dr. Sharanjit Kaur) |
Tripti Gupta & Dhriti Khanna |
2011-12 |
|
13 |
Gauging Changes in Public Sentiments (Jointly with Dr. Sarabjeet Kochhar) |
Shashank Jain & Freshteh Amiri |
2011-12 |
|
14 |
Classification Rules for Uncertain Data |
Aditi Mittal & Anika Jain |
2011-12 |
|
15 |
Cleaning data using Semi-Supervised Clustering |
Priya Jain & Rashmi Dobriyal |
2011-12 |
|
16 |
Scalable Clustering using Map-Reduce programming model |
Anurag Agarwal & Abhishek Santra |
2012-13 |
|
17 |
Recommender System for trusted storage on Cloud |
Neha Khandelwal & Neha Katyal |
2012-13 |
|
18 |
Label Propagation in Large Graphs (jointly with Dr. S Kaur) |
Yashaswi Jindal &Yashika Ahuja |
2013-14 |
|
19 |
Evolution of Author communities in DBLP (jointly with Dr. S Kaur) |
Chavi Jindal & Madhur Maurya |
2013-14 |
|
20 |
Scalable and Stable algorithm for Community Detection |
Amit Anand & Smita Goel |
2014-15 |
|
21 |
Network Evolution in Co-author networks |
Nikita Chopra & Neelam Rohilla |
2014-15 |
|
22 |
Implementing K-Truss decomposition in igraph package (jointly with Dr. S Kaur) |
Sana Zehra & Ruchi Goel |
2015-16 |
|
23 |
Classifying text as Formal or Informal documents |
Aditya Gupta & Anurag Sinha |
2015-16 |
|
24 |
Network Comparison Methods (jointly with Dr. S Kaur) |
Bharat and Jaya Kannojia |
2015-16 |
|
25 |
Weighted K Core decomposition in R |
Chhaya Malik & Mani Bansal |
2016-17 |
|
26 |
Graph Partitioning in R |
Anu Joshi & Ruchika Salwan |
2016-17 |
|
27 |
Single Document Text Summarization |
Rahul Dogra & Surendra Yadav |
2016-17 |
|
28 |
Snowball Sampling of Large Graphs - |
Aashna Narula & Ashish Agrawal |
2017-18 |
|
29 |
Random Walk Sampling of Large Graphs |
Divya Gandhi & Kirti Jain |
2017-18 |
|
30 |
Forest-Fire Sampling of Large Graphs |
Dhirendra Singh |
2017-18 |
|
31 |
Edge based Sampling of Large Graphs |
Ajay Jajoo |
2017-18 |
|
|
|
|
|
|
|
|
|
|
Doctoral
Research
Title of the Thesis: Intension Mining: A New
Approach to Knowledge Discovery in Databases
Supervisors: Prof. SK Wasan (Deptt. Of
Mathematics, Jamia Millia Islamia) and Dr SK Gupta (Deptt.
Of Computer Sc. And Engineering, IIT Delhi)
About the Thesis
(2001): Knowledge
Discovery in Databases or Data Mining deals with the analysis of massive
databases for discovering unknown, novel, non-trivial and useful patterns. It
is widely practiced for both commercial and scientific databases. The thesis
proposes a mining scheme in which the mining requirements are specified as “intension”
by the user and the system autonomously extracts and stores partial knowledge.
The user can mine the stored knowledge in a user-centric manner by either using
a query language or developing applications. The scheme is based on incremental
mining model and handles the scalability problem in a holistic manner. The
model recognized and supports the need for continuous monitoring of evolving databases for e-auditing applications. The
model subsumes the traditional model for the process of Knowledge Discovery.
The proposed model uses a three tier architecture
analogous to the Database Management System.
Theme Publication: Architecture
for knowledge discovery and knowledge management