P. Radha Krishna

P. Radha Krishna is a Principal Research Scientist at Software Engineering and Technology Labs, Infosys Technologies Limited, Hyderabad, India. Prior to joining Infosys, Dr. Krishna was a Faculty Member at the Institute for Development and Research in Banking Technology (IDRBT) and a scientist at National Informatics Centre, India. His research interests include data warehousing, data mining, and electronic contracts and services. He authored five books and has more than eighty publications.

Publications

Video Stream Mining for On-Road Traffic Density Analytics
Video Stream Mining for On-Road Traffic Density Analytics
Rudra Narayan Hota, Kishore Jonna, P. Radha Krishna. © 2013. 12 pages.
Traffic congestion problem is rising day-by-day due to increasing number of small to heavy weight vehicles on the road, poorly designed infrastructure, and ineffective control...
Pattern Discovery Using Sequence Data Mining: Applications and Studies
Pattern Discovery Using Sequence Data Mining: Applications and Studies
Pradeep Kumar, P. Radha Krishna, S. Bapi Raju. © 2012. 286 pages.
Sequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it...
Unbalanced Sequential Data Classification using Extreme Outlier Elimination and Sampling Techniques
Unbalanced Sequential Data Classification using Extreme Outlier Elimination and Sampling Techniques
T.Maruthi Padmaja, Raju S. Bapi, P. Radha Krishna. © 2012. 11 pages.
Predicting minority class sequence patterns from the noisy and unbalanced sequential datasets is a challenging task. To solve this problem, we proposed a new approach called...
Video Stream Mining for On-Road Traffic Density Analytics
Video Stream Mining for On-Road Traffic Density Analytics
Rudra Narayan Hota, Kishore Jonna, P. Radha Krishna. © 2012. 13 pages.
Traffic congestion problem is rising day-by-day due to increasing number of small to heavy weight vehicles on the road, poorly designed infrastructure, and ineffective control...
Sequence Pattern Mining for Web Logs
Sequence Pattern Mining for Web Logs
Pradeep Kumar, Raju S. Bapi, P. Radha Krishna. © 2012. 7 pages.
Interestingness measures play an important role in finding frequently occurring patterns, regardless of the kind of patterns being mined. In this work, we propose variation to...
A New Similarity Metric for Sequential Data
A New Similarity Metric for Sequential Data
Pradeep Kumar, Bapi S. Raju, P. Radha Krishna. © 2012. 16 pages.
In many data mining applications, both classification and clustering algorithms require a distance/similarity measure. The central problem in similarity based...
Figure Based Biomedical Document Retrieval System using Structural Image Features
Figure Based Biomedical Document Retrieval System using Structural Image Features
Harikrishna G. N. Rai, K Sai Deepak, P. Radha Krishna. © 2012. 20 pages.
Multi-modal and Unstructured nature of documents make their retrieval from healthcare document repositories a challenging task. Text based retrieval is the conventional approach...
International Journal of Systems and Service-Oriented Engineering (IJSSOE)
International Journal of Systems and Service-Oriented Engineering (IJSSOE)
Wuhui Chen. Est. 2010.
The International Journal of Systems and Service-Oriented Engineering (IJSSOE) brings together researchers from various fields, enriches their knowledge in related disciplines...
A New Similarity Metric for Sequential Data
A New Similarity Metric for Sequential Data
Pradeep Kumar, Bapi S. Raju, P. Radha Krishna. © 2010. 17 pages.
In many data mining applications, both classification and clustering algorithms require a distance/similarity measure. The central problem in similarity based...
Advances in Classification of Sequence Data
Advances in Classification of Sequence Data
Pradeep Kumar, P. Radha Krishna, Raju S. Bapi, T. M. Padmaja. © 2008. 32 pages.
In recent years, advanced information systems have enabled collection of increasingly large amounts of data that are sequential in nature. To analyze huge amounts of sequential...
SeqPAM: A Sequence Clustering Algorithm for Web Personalization
SeqPAM: A Sequence Clustering Algorithm for Web Personalization
Pradeep Kumar, Raju S. Bapi, P. Radha Krishna. © 2008. 23 pages.
With the growth in the number of Web users and necessity for making information available on the Web, the problem of Web personalization has become very critical and popular....
SeqPAM: A Sequence Clustering Algorithm for Web Personalization
SeqPAM: A Sequence Clustering Algorithm for Web Personalization
Pradeep Kumar Kumar, Raju S. Bapi, P. Radha Krishna. © 2008. 22 pages.
With the growth in the number of web users and necessity for making information available on the web, the problem of web personalization has become very critical and popular....
SeqPAM: A Sequence Clustering Algorithm for Web Personalization
SeqPAM: A Sequence Clustering Algorithm for Web Personalization
Pradeep Kumar, Raju S. Bapi, P. Radha Krishna. © 2007. 25 pages.
With the growth in the number of Web users and necessity for making information available on the Web, the problem of Web personalization has become very critical and popular....