Kuldeep Singh

According to our database, Kuldeep Singh authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Cuckoo Search Optimization-Based Influence Maximization in Dynamic Social Networks.

Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh

ACM Trans. Web, November, 2024

DCDIMB: Dynamic Community-based Diversified Influence Maximization using Bridge Nodes.

Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh

ACM Trans. Web, November, 2024

Mining Top-k High On-shelf Utility Itemsets Using Novel Threshold Raising Strategies.

Kuldeep Singh, Bhaskar Biswas

ACM Trans. Knowl. Discov. Data, June, 2024

Top-<i>k</i> high utility itemset mining: current status and future directions.

Rajiv Kumar, Kuldeep Singh

Knowl. Eng. Rev., 2024

2023

High utility itemsets mining from transactional databases: a survey.

Rajiv Kumar, Kuldeep Singh

Appl. Intell., November, 2023

Prediction of Age and Gender from Masked Face Images using Convolution Neural Network.

Rajiv Kumar, Kuldeep Singh, Dharmendra Prasad Mahato

Proceedings of the OITS International Conference on Information Technology, 2023

2022

A survey on soft computing-based high-utility itemsets mining.

Rajiv Kumar, Kuldeep Singh

Soft Comput., 2022

High average-utility itemsets mining: a survey.

Kuldeep Singh, Rajiv Kumar, Bhaskar Biswas

Appl. Intell., 2022

2020

ACO-IM: maximizing influence in social networks using ant colony optimization.

Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, Bhaskar Biswas

Soft Comput., 2020

IM-SSO: Maximizing influence in social networks using social spider optimization.

Shashank Sheshar Singh, Ajay Kumar, Kuldeep Singh, Bhaskar Biswas

Concurr. Comput. Pract. Exp., 2020

2019

Efficient Algorithm for Mining High Utility Pattern Considering Length Constraints.

Kuldeep Singh

Int. J. Data Warehous. Min., 2019

EHNL: An efficient algorithm for mining high utility itemsets with negative utility value and length constraints.

Kuldeep Singh, Ajay Kumar, Shashank Sheshar Singh, Harish Kumar Shakya, Bhaskar Biswas

Inf. Sci., 2019

LAPSO-IM: A learning-based influence maximization approach for social networks.

Shashank Sheshar Singh, Ajay Kumar, Kuldeep Singh, Bhaskar Biswas

Appl. Soft Comput., 2019

TKEH: an efficient algorithm for mining top-k high utility itemsets.

Kuldeep Singh, Shashank Sheshar Singh, Ajay Kumar, Bhaskar Biswas

Appl. Intell., 2019

Level-2 node clustering coefficient-based link prediction.

Ajay Kumar, Shashank Sheshar Singh, Kuldeep Singh, Bhaskar Biswas

Appl. Intell., 2019

2018

High utility itemsets mining with negative utility value: A survey.

Kuldeep Singh, Shashank Sheshar Singh, Ajay Kumar, Bhaskar Biswas

J. Intell. Fuzzy Syst., 2018

Mining of high-utility itemsets with negative utility.

Kuldeep Singh, Harish Kumar Shakya, Abhimanyu Singh, Bhaskar Biswas

Expert Syst. J. Knowl. Eng., 2018

2015

An Efficient Approach to Discovering Frequent Patterns from Data Cube using Aggregation and Directed Graph.

Kuldeep Singh, Harish Kumar Shakya, Bhaskar Biswas

Proceedings of the Sixth International Conference on Computer and Communication Technology 2015, 2015

Frequent Patterns Mining from Data Cube Using Aggregation and Directed Graph.

Kuldeep Singh, Harish Kumar Shakya, Bhaskar Biswas

Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2015