P. Krishna Reddy

Masaru Kitsuregawa, P. Krishna Reddy, P. K. Reddy, 1998, Proceedings. 3rd IFCIS International Conference on Cooperative Information Systems (Cat. No.98EX122).

Proceedings of the 14th International Conference on Management of Data, December 17-19, 2008, IIT Bombay, Mumbai, India

Gautam Das, P. Krishna Reddy, Nandlal L. Sarda, 2008, COMAD.

An Efficient Approach to Mine Rare Association Rules Using Maximum Items' Support Constraints

P. Krishna Reddy, R. Uday Kiran, Krishna Reddy Polepalli, 2010, BNCOD.

Mining periodic-frequent patterns with maximum items' support constraints

P. Krishna Reddy, R. Uday Kiran, R. U. Kiran, 2010, Bangalore Compute Conf..

A Framework to Harvest Page Views of Web for Banner Advertising

P. Krishna Reddy, P. Reddy, 2015, BDA.

Asynchronous Operations in Distributed Concurrency Control

Subhash Bhalla, P. Krishna Reddy, 2003, IEEE Trans. Knowl. Data Eng..

Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow

Rishabh Gupta, P. Krishna Reddy, 2016, CODS.

An Efficient Premiumness and Utility-Based Itemset Placement Scheme for Retail Stores

P. Krishna Reddy, Anirban Mondal, Parul Chaudhary, 2019, DEXA.

An Approach to Allocate Advertisement Slots for Banner Advertising

P. Krishna Reddy, Vaddadi Naga Sai Kavya, P. Reddy, 2016, CODS.

Mining coverage patterns from transactional databases

P. Krishna Reddy, P. Gowtham Srinivas, Bhargav Sripada, 2014, Journal of Intelligent Information Systems.

Extending Speculation-Based Protocols for Processing Read-Only Transactions in Distributed Database Systems

P. Krishna Reddy, Thirumalaisamy Ragunathan, Mohit Goyal, 2010, 2010 IEEE 12th International Conference on High Performance Computing and Communications (HPCC).

Discovering special product features for improving the process of product selection in E-commerce environment

Sumit Maheshwari, P. Krishna Reddy, S. Maheshwari, 2009, ICEC.

Exploiting Schema and Documentation for Summarizing Relational Databases

P. Krishna Reddy, Mittapally Kumara Swamy, Ammar Yasir, 2012, BDA.

Discovering Partial Periodic High Utility Itemsets in Temporal Databases

Masaru Kitsuregawa, Masashi Toyoda, P. Krishna Reddy, 2019, DEXA.

An Alternative Interestingness Measure for Mining Periodic-Frequent Patterns

P. Krishna Reddy, R. Uday Kiran, R. U. Kiran, 2011, DASFAA.

Improving the Performance of Recommender System by Exploiting the Categories of Products

P. Krishna Reddy, R. Uday Kiran, Thirumalaisamy Ragunathan, 2011, DNIS.

An approach to relate the Web communities through bipartite graphs

Masaru Kitsuregawa, P. Krishna Reddy, P. K. Reddy, 2001, Proceedings of the Second International Conference on Web Information Systems Engineering.

Text and Citations Based Cluster Analysis of Legal Judgments

P. Krishna Reddy, K. Raghav, Pailla Balakrishna Reddy, 2015, MIKE.

An improved multiple minimum support based approach to mine rare association rules

P. Krishna Reddy, R. Uday Kiran, R. U. Kiran, 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.

Relaxed neighbor based approach for improving protein function prediction

P. Krishna Reddy, D. Satheesh Kumar, 2015, CoDS '15.

Temporality-based user interface design approaches for desktop and small screen environment

P. Krishna Reddy, R. Uday Kiran, Mittapally Kumara Swamy, 2012, Int. J. Comput. Sci. Eng..

Reducing the blocking in two-phase commit with backup sites

Masaru Kitsuregawa, P. Krishna Reddy, 2003, Inf. Process. Lett..

Selecting a Right Interestingness Measure for Rare Association Rules

P. Krishna Reddy, R. Uday Kiran, Akshat Surana, 2010, COMAD.

Understanding Helicoverpa armigera pest population dynamics related to chickpea crop using neural networks

Garimella Rama Murthy, P. Krishna Reddy, Rajat Gupta, 2003, Third IEEE International Conference on Data Mining.

An Improved Approach for Long Tail Advertising in Sponsored Search

P. Krishna Reddy, Amar Budhiraja, A. Budhiraja, 2017, DASFAA.

Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit

Masaru Kitsuregawa, Subhash Bhalla, Masashi Toyoda, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases

Koji Zettsu, P. Krishna Reddy, R. Uday Kiran, 2019, 2019 IEEE International Conference on Big Data (Big Data).

An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases

P. Krishna Reddy, R. Uday Kiran, Akshat Surana, 2011, PAKDD Workshops.

Coverage Pattern Mining Based on MapReduce

P. Krishna Reddy, Anirban Mondal, Akhil Ralla, 2020, COMAD/CODS.

Increasing Concurrency of Nested Transactions Through Speculation

Masaru Kitsuregawa, P. Krishna Reddy, 1999 .

An Approach to Extract Special Skills to Improve the Performance of Resume Selection

Sumit Maheshwari, P. Krishna Reddy, Abhishek Sainani, 2010, DNIS.

Speculation based nested locking protocol to increase the concurrency of nested transactions

Masaru Kitsuregawa, P. Krishna Reddy, 2000, Proceedings 2000 International Database Engineering and Applications Symposium (Cat. No.PR00789).

Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies

P. Krishna Reddy, R. Uday Kiran, R. U. Kiran, 2010, DASFAA.

Semantics-based asynchronous speculative locking protocol for improving the performance of read-only transactions

P. Krishna Reddy, Thirumalaisamy Ragunathan, Mohit Goyal, 2010, SpringSim.

eSagu™: a data warehouse enabled personalized agricultural advisory system

P. Krishna Reddy, G. Syamasundar Reddy, G. V. Ramaraju, 2007, SIGMOD '07.

Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence

Masaru Kitsuregawa, P. Krishna Reddy, R. Uday Kiran, 2016, DEXA.

Association Rule Based Approach to Improve Diversity of Query Recommendations

Subhash Bhalla, P. Krishna Reddy, Mittapally Kumara Swamy, 2017, DEXA.

A Nonblocking Transaction Data Flow Graph Based Protocol For Replicated Databases

Subhash Bhalla, P. Krishna Reddy, P. K. Reddy, 1995, IEEE Trans. Knowl. Data Eng..

Understanding the Dynamics of Crop Problems by Analyzing Farm Advisory Data in eSagu TM

P. Krishna Reddy, R. Uday Kiran, 2007, DNIS.

Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study

Rishabh Gupta, P. Krishna Reddy, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

An Approach to Find Related Communities Based on Bipartite Graphs

P. Krishna Reddy, Masaru Kitsuregawa, P. K. Reddy, 2001 .

An improved human-in-the-loop model for fine-grained object recognition with batch-based question answering

P. Krishna Reddy, Vyshnavi Gutta, Narendra Babu Unnam, 2020, COMAD/CODS.

An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules

P. Krishna Reddy, R. Uday Kiran, R. U. Kiran, 2009, KDIR.

Coverage patterns for efficient banner advertisement placement

P. Krishna Reddy, Bhargav Sripada, R. Uday Kiran, 2011, WWW.

Improving Diversity Performance of Association Rule Based Recommender Systems

P. Krishna Reddy, Mittapally Kumara Swamy, P. K. Reddy, 2015, DEXA.

BoostWeight: An Approach to Boost the Term Weights in a Document Vector by Exploiting Open Web Directory

P. Krishna Reddy, Gaurav Ruhela, 2009, IKE.

Improved approach for protein function prediction by exploiting prominent proteins

P. Krishna Reddy, D. Satheesh Kumar, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases

Koji Zettsu, Masaru Kitsuregawa, Masashi Toyoda, 2019, BDA.

Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports

P. Krishna Reddy, R. Uday Kiran, R. U. Kiran, 2009, COMAD.

Improving the Performance of Read-Only Transactions Through Speculation

P. Krishna Reddy, Thirumalaisamy Ragunathan, 2007, DNIS.

P. Krishna Reddy, Sushanta Kumar, V. Balakista Reddy, 2013, DNIS.

An approach to cover more advertisers in Adwords

P. Krishna Reddy, Amar Budhiraja, A. Budhiraja, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Development of eAgromet Prototype to Improve the Performance of Integrated Agromet Advisory Service

P. Krishna Reddy, Mittapally Kumara Swamy, L. S. Rathore, 2014, DNIS.

Content specific coverage patterns for banner advertisement placement

P. Krishna Reddy, P. Gowtham Srinivas, A. V. Trinath, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

A document representation framework with interpretable features using pre-trained word embeddings

P. Krishna Reddy, Narendra Babu Unnam, 2019, International Journal of Data Science and Analytics.

Mass Miniature Radiographic Roll Film Cassette - Maintenance and Repair

P. Krishna Reddy, 1993 .

A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions

Anirban Mondal, Seishi Ninomiya, P. Krishna Reddy, 2017, BDA.

Speculative Lock Management to Increase Concurrency in Mobile Environments

Masaru Kitsuregawa, P. Krishna Reddy, 1999, MDA.

An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns

Masaru Kitsuregawa, Masashi Toyoda, P. Krishna Reddy, 2017, DaWaK.

Memory efficient mining of periodic-frequent patterns in transactional databases

Masaru Kitsuregawa, P. Krishna Reddy, R. Uday Kiran, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

A Revenue-Based Product Placement Framework to Improve Diversity in Retail Businesses

Anirban Mondal, P. Krishna Reddy, Mittapally Kumara Swamy, 2020, BDA.

Analysing dynamics of crop problems by applying text analysis methods on farm advisory data of eSaguTM

P. Krishna Reddy, R. Uday Kiran, Mittapally Kumara Swamy, 2010, Int. J. Comput. Sci. Eng..

Seishi Ninomiya, P. Krishna Reddy, Gade Sreenivas, 2019, Comput. Electron. Agric..

CPPG: Efficient Mining of Coverage Patterns Using Projected Pattern Growth Technique

P. Krishna Reddy, P. Gowtham Srinivas, A. V. Trinath, 2013, PAKDD Workshops.

Deadlock prevention in a distributed database system

Subhash Bhalla, P. Krishna Reddy, 1993, SGMD.

Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood

Longbing Cao, P. Krishna Reddy, Pailla Balakrishna Reddy, 2016, ACIIDS.

A non-blocking transaction data flow graph based approach for replicated data

Subhash Bhalla, P. Krishna Reddy, P. K. Reddy, 1993, OPSR.

Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms

Masaru Kitsuregawa, Masashi Toyoda, P. Krishna Reddy, 2018, DaWaK.

Improved approaches to mine rare association rules in transactional databases

P. Krishna Reddy, R. Uday Kiran, R. U. Kiran, 2010, IDAR '10.

Improving the performance of read-only transactions through asynchronous speculation

P. Krishna Reddy, Thirumalaisamy Ragunathan, P. K. Reddy, 2008, SpringSim '08.

Discovering Spatial High Utility Itemsets in Spatiotemporal Databases

Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, 2019, SSDBM.

Discovering Periodic-Correlated Patterns in Temporal Databases

Masaru Kitsuregawa, P. Krishna Reddy, R. Uday Kiran, 2018, Trans. Large Scale Data Knowl. Centered Syst..

Discovering Diverse-Frequent Patterns in Transactional Databases

P. Krishna Reddy, R. Uday Kiran, Somya Srivastava, 2011, COMAD.

An Improved Approach to Extract Document Summaries Based on Popularity

P. Arun Kumar, K. Praveen Kumar, P. Krishna Reddy, 2005, DNIS.

Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases

P. Krishna Reddy, R. Uday Kiran, R. U. Kiran, 2016, DEXA.

eSagu: An IT-Based Personalized Agricultural Extension System-- A Prototype Experience *

P. Krishna Reddy, P. K. Reddy, 2005 .

Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases

Subhash Bhalla, P. Krishna Reddy, Mittapally Kumara Swamy, 2012, BDA.

Optimal Binary Filters: Neural Networks

M. Thiyagarajan, Garimella Rama Murthy, P. Krishna Reddy, 2003, IICAI.

An Improved Dummy Generation Approach for Enhancing User Location Privacy

Anirban Mondal, P. Krishna Reddy, Shadaab Siddiqie, 2021, DASFAA.

An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores

Anirban Mondal, P. Krishna Reddy, Raghav Mittal, 2021, DEXA.

Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Mining

Anirban Mondal, P. Krishna Reddy, P. Revanth Rathan, 2021, DEXA.