Ashish Mangalampalli

According to our database, Ashish Mangalampalli authored at least 12 papers between 2006 and 2022.

Collaborative distances:

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

2022

WBATimeNet: A deep neural network approach for VM Live Migration in the cloud.

Ashish Mangalampalli, Avinash Kumar

Future Gener. Comput. Syst., 2022

2014

A Fuzzy Associative Classification Approach to Visual Concept Detection.

Ashish Mangalampalli, Vikram Pudi

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

2013

FAR-HD: A fast and efficient algorithm for mining fuzzy association rules in large high-dimensional datasets.

Ashish Mangalampalli, Vikram Pudi

Proceedings of the FUZZ-IEEE 2013, 2013

2012

FAR-miner: a fast and efficient algorithm for fuzzy association rule mining.

Ashish Mangalampalli, Vikram Pudi

Int. J. Bus. Intell. Data Min., 2012

2011

A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns.

Ashish Mangalampalli, Adwait Ratnaparkhi, Andrew O. Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi

Proceedings of the 20th International Conference on World Wide Web, 2011

Fuzzy associative rule-based approach for pattern mining and identification and pattern-based classification.

Ashish Mangalampalli, Vikram Pudi

Proceedings of the 20th International Conference on World Wide Web, 2011

2010

I-FAC: Efficient Fuzzy Associative Classifier for Object Classes in Images.

Ashish Mangalampalli, Vineet Chaoji, Subhajit Sanyal

Proceedings of the 20th International Conference on Pattern Recognition, 2010

FPrep: Fuzzy clustering driven efficient automated pre-processing for fuzzy association rule mining.

Ashish Mangalampalli, Vikram Pudi

Proceedings of the FUZZ-IEEE 2010, 2010

FACISME: Fuzzy associative classification using iterative scaling and maximum entropy.

Ashish Mangalampalli, Vikram Pudi

Proceedings of the FUZZ-IEEE 2010, 2010

2009

Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets.

Ashish Mangalampalli, Vikram Pudi

Proceedings of the FUZZ-IEEE 2009, 2009

2007

High-end clinical domain information systems for effective healthcare delivery.

Ashish Mangalampalli, Rama Chakravarthy, Raja Muthiyalian, Ajeet K. Jain, Aparna Mudganti Parinam

Int. J. Electron. Heal., 2007

2006

A neural network based clinical decision-support system for efficient diagnosis and fuzzy-based prescription of gynecological diseases using homoeopathic medicinal system.

Ashish Mangalampalli, Srirama Moorthy Mangalampalli, Rama Chakravarthy, Ajeet K. Jain

Expert Syst. Appl., 2006