P. Krishna Reddy

142 papers A* 1B 14C 10Misc 8Journal 28Unranked 68

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Two-Level Indexing Scheme for Extracting Frequent Patterns with GPUs from Symbolic Sequence Data. BDA P. Shiridi Kumar, Rage Uday Kiran, P. Krishna Reddy
2025	J	`jnl`	An Ad-slot allocation framework based on coverage pattern mining to improve display advertising revenue. Int. J. Data Sci. Anal. C. Saideep, S. Preetham, A. Srinivas Reddy, P. Krishna Reddy, Rage Uday Kiran
2025	J	`jnl`	Location and Intent Privacy Preservation for Spatial Range Queries in a Mobile Network. IEEE Access Shadaab Siddiqie, P. Krishna Reddy, Srinivas Reddy Annappalli
2025	—	`conf`	Mining of Top-K Subgraphs From Uncertain Graph Data. FUZZ Ishan Choubey, R. Uday Kiran, Nivesh Mittapally, P. Krishna Reddy
2024	—	`conf`	A Model for Retrieving High-Utility Itemsets with Complementary and Substitute Goods. PAKDD (1) Raghav Mittal, Anirban Mondal, P. Krishna Reddy, Mukesh K. Mohania
2024	C	`conf`	Citation Anchor Text for Improving Precedent Retrieval: An Experimental Study on Indian Legal Documents. JURIX Gaurang Patil, Bhoomeendra Singh Sisodiya, P. Krishna Reddy, K. V. K. Santhy
2024	J	`jnl`	Introduction to the special issue on PAKDD'2021. Int. J. Data Sci. Anal. P. Krishna Reddy
2023	—	`conf`	A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses. PAKDD (1) Raghav Mittal, Anirban Mondal, P. Krishna Reddy
2023	—	`conf`	A Review of Approaches on Facets for Building IT-Based Career Guidance Systems. BDA N. Chandra Shekar, P. Krishna Reddy, K. Anupama, A. Amarender Reddy
2023	J	`jnl`	An improved dummy generation approach for infeasible regions. Appl. Intell. Shadaab Siddiqie, Anirban Mondal, P. Krishna Reddy
2023	C	`conf`	Analysing the Resourcefulness of the Paragraph for Precedence Retrieval. ICAIL Bhoomeendra Singh Sisodiya, Narendra Babu Unnam, P. Krishna Reddy, Apala Das, K. V. K. Santhy, V. Balakista Reddy
2023	J	`jnl`	Analysing the Resourcefulness of the Paragraph for Precedence Retrieval. CoRR Bhoomeendra Singh Sisodiya, Narendra Babu Unnam, P. Krishna Reddy, Apala Das, K. V. K. Santhy, V. Balakista Reddy
2022	—	`conf`	A Market Segmentation Aware Retail Itemset Placement Framework. DEXA (1) Raghav Mittal, Anirban Mondal, P. Krishna Reddy
2022	—	`conf`	A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases. DASFAA (1) R. Uday Kiran, Vipul Chhabra, Saideep Chennupati, P. Krishna Reddy, Minh-Son Dao, Koji Zettsu
2022	J	`jnl`	A Pattern Mining Framework for Improving Billboard Advertising Revenue. Trans. Large Scale Data Knowl. Centered Syst. P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal
2022	C	`conf`	A Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images. IEA/AIE Vipul Chhabra, R. Uday Kiran, Juan Xiao, P. Krishna Reddy, Ram Avtar
2022	J	`jnl`	A framework for discovering popular paths using transactional modeling and pattern mining. Distributed Parallel Databases P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal
2022	—	`conf`	Air Quality Data Collection in Hyderabad Using Low-Cost Sensors: Initial Experiences. DASFAA (Workshops) N. Chandra Shekar, A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, Girish Agrawal
2022	—	`ed.`	Big Data Analytics - 10th International Conference, BDA 2022, Hyderabad, India, December 19-22, 2022, Proceedings BDA Partha Pratim Roy, Arvind Agarwal, Tianrui Li, P. Krishna Reddy, R. Uday Kiran
2022	—	`ed.`	Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part I DASFAA (1) Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
2022	—	`ed.`	Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part II DASFAA (2) Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
2022	—	`ed.`	Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part III DASFAA (3) Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
2022	—	`ed.`	Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Virtual Event, April 11-14, 2022, Proceedings DASFAA (Workshops) Rage Uday Kiran, Vikram Goyal, P. Krishna Reddy
2022	B	`conf`	Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings. SSDBM Narendra Babu Unnam, P. Krishna Reddy, Amit Pandey, Naresh Manwani
2022	J	`jnl`	Mining subgraph coverage patterns from graph transactions. Int. J. Data Sci. Anal. A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar
2022	C	`conf`	Syllabified Sequence-to-sequence attention for transliteration. PACLIC Vyshnavi Gutta, G. Sridevi, P. Krishna Reddy, M. Ritesh
2022	—	`conf`	Visualizing Spatio-temporal Variation of Ambient Air Pollution in Four Small Towns in India. DASFAA (Workshops) Girish Agrawal, Hifzur Rahman, Anirban Mondal, P. Krishna Reddy
2021	Misc	`conf`	A Model of Graph Transactional Coverage Patterns with Applications to Drug Discovery. HiPC A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar
2021	B	`conf`	A Novel Parameter-Free Energy Efficient Fuzzy Nearest Neighbor Classifier for Time Series Data. FUZZ-IEEE Penugonda Ravikumar, R. Uday Kiran, Narendra Babu Unnam, Yutaka Watanobe, Kazuo Goda, V. Susheela Devi, P. Krishna Reddy
2021	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I PAKDD (1) Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
2021	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II PAKDD (2) Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
2021	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III PAKDD (3) Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
2021	—	`conf`	An Efficient Distributed Coverage Pattern Mining Algorithm. BDA Preetham Sathineni, A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal
2021	—	`conf`	An Improved Dummy Generation Approach for Enhancing User Location Privacy. DASFAA (3) Shadaab Siddiqie, Anirban Mondal, P. Krishna Reddy
2021	—	`conf`	An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores. DEXA (2) Raghav Mittal, Anirban Mondal, Parul Chaudhary, P. Krishna Reddy
2021	J	`jnl`	An incremental framework to extract coverage patterns for dynamic databases. Int. J. Data Sci. Anal. Komallapalli Kaushik, P. Krishna Reddy, Anirban Mondal, Akhil Ralla
2021	—	`ed.`	Big Data Analytics - 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings BDA Satish Narayana Srirama, Jerry Chun-Wei Lin, Raj Bhatnagar, Sonali Agarwal, P. Krishna Reddy
2021	—	`conf`	Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure. IEEE BigData R. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy
2021	—	`conf`	Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. IEEE BigData Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito, Koji Zettsu, P. Krishna Reddy
2021	—	`conf`	Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Mining. DEXA (1) P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal
2021	B	`conf`	PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme. DSAA Anirban Mondal, Raghav Mittal, Vrinda Khandelwal, Parul Chaudhary, P. Krishna Reddy
2020	—	`conf`	A Revenue-Based Product Placement Framework to Improve Diversity in Retail Businesses. BDA Pooja Gaur, P. Krishna Reddy, Mittapally Kumara Swamy, Anirban Mondal
2020	J	`jnl`	A document representation framework with interpretable features using pre-trained word embeddings. Int. J. Data Sci. Anal. Narendra Babu Unnam, P. Krishna Reddy
2020	J	`jnl`	A model of concept hierarchy-based diverse patterns with applications to recommender system. Int. J. Data Sci. Anal. Mittapally Kumara Swamy, P. Krishna Reddy
2020	—	`conf`	An improved human-in-the-loop model for fine-grained object recognition with batch-based question answering. COMAD/CODS Vyshnavi Gutta, Narendra Babu Unnam, P. Krishna Reddy
2020	—	`ed.`	Big Data Analytics - 8th International Conference, BDA 2020, Sonepat, India, December 15-18, 2020, Proceedings BDA Ladjel Bellatreche, Vikram Goyal, Hamido Fujita, Anirban Mondal, P. Krishna Reddy
2020	—	`conf`	Coverage Pattern Mining Based on MapReduce. COMAD/CODS Akhil Ralla, Shadaab Siddiqie, P. Krishna Reddy, Anirban Mondal
2020	B	`conf`	Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases. FUZZ-IEEE R. Uday Kiran, C. Saideep, Penugonda Ravikumar, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2020	J	`jnl`	Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases. IEEE Access R. Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2020	C	`conf`	Parallel Mining of Partial Periodic Itemsets in Big Data. IEA/AIE C. Saideep, R. Uday Kiran, Koji Zettsu, Cheng-Wei Wu, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa
2020	Misc	`conf`	Sensor-based Framework for Improved Air Conditioning Under Diverse Temperature Layout. ICDCN Shadaab Siddiqie, Akhil Ralla, P. Krishna Reddy, Anirban Mondal
2019	B	`conf`	An Incremental Technique for Mining Coverage Patterns in Large Databases. DSAA Akhil Ralla, P. Krishna Reddy, Anirban Mondal
2019	—	`ed.`	Big Data Analytics - 7th International Conference, BDA 2019, Ahmedabad, India, December 17-20, 2019, Proceedings BDA Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy
2019	J	`jnl`	Coverage pattern based framework to improve search engine advertising. Int. J. Data Sci. Anal. Amar Budhiraja, Akhil Ralla, P. Krishna Reddy
2019	—	`conf`	Discovering Diverse Popular Paths Using Transactional Modeling and Pattern Mining. DEXA (1) P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal
2019	—	`conf`	Discovering Partial Periodic High Utility Itemsets in Temporal Databases. DEXA (2) T. Yashwanth Reddy, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa
2019	—	`conf`	Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases. IEEE BigData R. Uday Kiran, C. Saideep, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2019	—	`conf`	Discovering Periodic Patterns in Irregular Time Series. ICDM Workshops C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy
2019	—	`conf`	Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases. BDA P. P. C. Reddy, R. Uday Kiran, Koji Zettsu, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa
2019	B	`conf`	Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. SSDBM R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa
2019	—	`conf`	Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. ICDM Workshops Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2019	—	`conf`	Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. PAKDD (2) R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa
2019	J	`jnl`	Multi-location visibility query processing using portion-based transactional modeling and pattern mining. Data Min. Knowl. Discov. Lakshmi Gangumalla, P. Krishna Reddy, Anirban Mondal
2018	—	`ed.`	Big Data Analytics - 6th International Conference, BDA 2018, Warangal, India, December 18-21, 2018, Proceedings BDA Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, Durvasula V. L. N. Somayajulu
2018	J	`jnl`	Discovering Periodic-Correlated Patterns in Temporal Databases. Trans. Large Scale Data Knowl. Centered Syst. J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa
2018	—	`conf`	Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit. IEEE BigData R. Uday Kiran, Amulya Kotni, P. Krishna Reddy, Masashi Toyoda, Subhash Bhalla, Masaru Kitsuregawa
2018	B	`conf`	Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms. DaWaK Amulya Kotni, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa
2017	—	`conf`	A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions. BDA Alugubelly Mamatha, P. Krishna Reddy, Anirban Mondal, Seishi Ninomiya, Gade Sreenivas
2017	B	`conf`	An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns. DaWaK Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa
2017	—	`conf`	An Improved Approach for Long Tail Advertising in Sponsored Search. DASFAA (2) Amar Budhiraja, P. Krishna Reddy
2017	—	`conf`	Association Rule Based Approach to Improve Diversity of Query Recommendations. DEXA (2) Mittapally Kumara Swamy, P. Krishna Reddy, Subhash Bhalla
2017	—	`ed.`	Big Data Analytics - 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings BDA P. Krishna Reddy, Ashish Sureka, Sharma Chakravarthy, Subhash Bhalla
2017	—	`conf`	Discovering Periodic Patterns in Non-uniform Temporal Databases. PAKDD (2) R. Uday Kiran, J. N. Venkatesh, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa
2017	J	`jnl`	Discovering partial periodic-frequent patterns in a transactional database. J. Syst. Softw. R. Uday Kiran, J. N. Venkatesh, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2017	—	`conf`	Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study. ICBK Rishabh Gupta, P. Krishna Reddy
2016	—	`conf`	An Approach to Allocate Advertisement Slots for Banner Advertising. CODS Vaddadi Naga Sai Kavya, P. Krishna Reddy
2016	B	`conf`	Coverage Patterns-Based Approach to Allocate Advertisement Slots for Display Advertising. ICWE Vaddadi Naga Sai Kavya, P. Krishna Reddy
2016	—	`conf`	Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence. DEXA (1) J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa
2016	J	`jnl`	Efficient discovery of periodic-frequent patterns in very large databases. J. Syst. Softw. R. Uday Kiran, Masaru Kitsuregawa, P. Krishna Reddy
2016	—	`conf`	Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow. CODS Rishabh Gupta, P. Krishna Reddy
2016	—	`conf`	Memory efficient mining of periodic-frequent patterns in transactional databases. SSCI Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa
2015	—	`conf`	A Framework to Harvest Page Views of Web for Banner Advertising. BDA P. Krishna Reddy
2015	B	`conf`	An approach to cover more advertisers in Adwords. DSAA Amar Budhiraja, P. Krishna Reddy
2015	B	`conf`	Improved approach for protein function prediction by exploiting prominent proteins. DSAA D. Satheesh Kumar, P. Krishna Reddy
2015	—	`conf`	Improving Diversity Performance of Association Rule Based Recommender Systems. DEXA (1) Mittapally Kumara Swamy, P. Krishna Reddy
2015	J	`jnl`	Mining coverage patterns from transactional databases. J. Intell. Inf. Syst. P. Gowtham Srinivas, P. Krishna Reddy, A. V. Trinath, Bhargav Sripada, R. Uday Kiran
2015	—	`conf`	Relaxed neighbor based approach for improving protein function prediction. CODS D. Satheesh Kumar, P. Krishna Reddy
2014	B	`conf`	Content specific coverage patterns for banner advertisement placement. DSAA A. V. Trinath, P. Gowtham Srinivas, P. Krishna Reddy
2014	—	`conf`	Development of eAgromet Prototype to Improve the Performance of Integrated Agromet Advisory Service. DNIS P. Krishna Reddy, A. V. Trinath, Mittapally Kumara Swamy, Basi Bhaskar Reddy, K. Nagarani, D. Raji Reddy, Gade Sreenivas, K. Dakshina Murthy, L. S. Rathore, K. K. Singh, N. Chattopadhyay
2014	—	`conf`	Extracting Diverse Patterns with Unbalanced Concept Hierarchy. PAKDD (1) Mittapally Kumara Swamy, P. Krishna Reddy, Somya Srivastava
2013	—	`conf`	CPPG: Efficient Mining of Coverage Patterns Using Projected Pattern Growth Technique. PAKDD Workshops P. Gowtham Srinivas, P. Krishna Reddy, A. V. Trinath
2013	—	`conf`	Finding Similar Legal Judgements under Common Law System. DNIS Sushanta Kumar, P. Krishna Reddy, V. Balakista Reddy, Malti Suri
2012	—	`conf`	Discovering Coverage Patterns for Banner Advertisement Placement. PAKDD (2) P. Gowtham Srinivas, P. Krishna Reddy, Bhargav Sripada, R. Uday Kiran, D. Satheesh Kumar
2012	J	`jnl`	Mining special features to improve the performance of e-commerce product selection and resume processing. Int. J. Comput. Sci. Eng. Abhishek Sainani, P. Krishna Reddy, Sumit Maheshwari
2012	J	`jnl`	Temporality-based user interface design approaches for desktop and small screen environment. Int. J. Comput. Sci. Eng. Mittapally Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, M. Venugopal Reddy
2011	—	`conf`	An Alternative Interestingness Measure for Mining Periodic-Frequent Patterns. DASFAA (1) R. Uday Kiran, P. Krishna Reddy
2011	—	`conf`	An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases. PAKDD Workshops Akshat Surana, R. Uday Kiran, P. Krishna Reddy
2011	Misc	`conf`	Discovering Diverse-Frequent Patterns in Transactional Databases. COMAD Somya Srivastava, R. Uday Kiran, P. Krishna Reddy
2011	—	`conf`	Improving the Performance of Recommender System by Exploiting the Categories of Products. DNIS Mohak Sharma, P. Krishna Reddy, R. Uday Kiran, Thirumalaisamy Ragunathan
2011	B	`conf`	Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms. EDBT R. Uday Kiran, P. Krishna Reddy
2011	—	`conf`	Similarity analysis of legal judgments. Bangalore Compute Conf. Sushanta Kumar, P. Krishna Reddy, V. Balakista Reddy, Aditya Singh
2011	—	`conf`	Using lower-bound similarity to enhance the performance of recommender systems. Bangalore Compute Conf. Mohak Sharma, P. Krishna Reddy
2010	—	`conf`	An Approach to Extract Special Skills to Improve the Performance of Resume Selection. DNIS Sumit Maheshwari, Abhishek Sainani, P. Krishna Reddy
2010	J	`jnl`	Analysing dynamics of crop problems by applying text analysis methods on farm advisory data of eSagu Int. J. Comput. Sci. Eng. R. Uday Kiran, P. Krishna Reddy, Mittapally Kumara Swamy, G. Syamasundar Reddy
2010	C	`conf`	Extending Speculation-Based Protocols for Processing Read-Only Transactions in Distributed Database Systems. HPCC Mohit Goyal, Thirumalaisamy Ragunathan, P. Krishna Reddy
2010	—	`conf`	Interface Tailoring by Exploiting Temporality of Attributes for Small Screens. DNIS Mittapally Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, M. Venugopal Reddy
2010	—	`conf`	Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies. DASFAA (1) R. Uday Kiran, P. Krishna Reddy
2010	—	`conf`	Mining periodic-frequent patterns with maximum items' support constraints. Bangalore Compute Conf. R. Uday Kiran, P. Krishna Reddy
2010	—	`conf`	Performance evaluation of speculation-based protocol for read-only transactions. Bangalore Compute Conf. Thirumalaisamy Ragunathan, P. Krishna Reddy
2010	Misc	`conf`	Selecting a Right Interestingness Measure for Rare Association Rules. COMAD Akshat Surana, R. Uday Kiran, P. Krishna Reddy
2010	—	`conf`	Semantics-based asynchronous speculative locking protocol for improving the performance of read-only transactions. SpringSim Thirumalaisamy Ragunathan, P. Krishna Reddy, Mohit Goyal
2010	J	`jnl`	Speculation-based protocols for improving the performance of read-only transactions. Int. J. Comput. Sci. Eng. Thirumalaisamy Ragunathan, P. Krishna Reddy
2010	—	`conf`	Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases. DEXA (2) R. Uday Kiran, P. Krishna Reddy
2009	—	`conf`	An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules. KDIR R. Uday Kiran, P. Krishna Reddy
2009	C	`conf`	An improved multiple minimum support based approach to mine rare association rules. CIDM R. Uday Kiran, P. Krishna Reddy
2009	Misc	`conf`	BoostWeight: An Approach to Boost the Term Weights in a Document Vector by Exploiting Open Web Directory. IKE Gaurav Ruhela, P. Krishna Reddy
2009	C	`conf`	Discovering special product features for improving the process of product selection in E-commerce environment. ICEC Sumit Maheshwari, P. Krishna Reddy
2009	C	`conf`	Improving Text Document Clustering by Exploiting Open Web Directory. SEKE Gaurav Ruhela, P. Krishna Reddy
2009	Misc	`conf`	Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports. COMAD R. Uday Kiran, P. Krishna Reddy
2008	Misc	`conf`	Exploiting Semantics and Speculation for Improving the Performance of Read-only Transactions. COMAD Thirumalaisamy Ragunathan, P. Krishna Reddy
2008	—	`conf`	Improving the performance of read-only transactions through asynchronous speculation. SpringSim Thirumalaisamy Ragunathan, P. Krishna Reddy
2008	Misc	`ed.`	Proceedings of the 14th International Conference on Management of Data, December 17-19, 2008, IIT Bombay, Mumbai, India COMAD Gautam Das, N. L. Sarda, P. Krishna Reddy
2007	—	`conf`	Improving the Performance of Read-Only Transactions Through Speculation. DNIS Thirumalaisamy Ragunathan, P. Krishna Reddy
2007	—	`conf`	Understanding the Dynamics of Crop Problems by Analyzing Farm Advisory Data in eSagu DNIS R. Uday Kiran, P. Krishna Reddy
2007	—	`conf`	eSagu SIGMOD Conference P. Krishna Reddy, G. V. Ramaraju, G. Syamasundar Reddy
2005	—	`conf`	An Improved Approach to Extract Document Summaries Based on Popularity. DNIS P. Arun Kumar, K. Praveen Kumar, T. Someswara Rao, P. Krishna Reddy
2005	—	`conf`	Leadership resources in the World Wide Web. COMAD (b) Dangeti Ravi Shankar, Pradeep Beerla, P. Krishna Reddy
2004	J	`jnl`	Speculative Locking Protocols to Improve Performance for Distributed Database System. IEEE Trans. Knowl. Data Eng. P. Krishna Reddy, Masaru Kitsuregawa
2003	J	`jnl`	Asynchronous Operations in Distributed Concurrency Control. IEEE Trans. Knowl. Data Eng. P. Krishna Reddy, Subhash Bhalla
2003	—	`conf`	Optimal Binary Filters: Neural Networks. IICAI Garimella Rama Murthy, Gaurav Vijayvargiya, M. Thiyagarajan, P. Krishna Reddy
2003	J	`jnl`	Reducing the blocking in two-phase commit with backup sites. Inf. Process. Lett. P. Krishna Reddy, Masaru Kitsuregawa
2003	A*	`conf`	Understanding Helicoverpa armigera Pest Population Dynamics related to Chickpea Crop Using Neural Networks. ICDM Rajat Gupta, B. V. L. Narayana, P. Krishna Reddy, G. V. Ranga Rao, C. L. L. Gowda, Y. V. R. Reddy, Garimella Rama Murthy
2002	—	`conf`	A Graph Based Approach to Extract a Neighborhood Customer Community for Collaborative Filtering. DNIS P. Krishna Reddy, Masaru Kitsuregawa, P. Sreekanth, S. Srinivasa Rao
2001	—	`conf`	An Approach to Relate the Web Communities through Bipartite Graphs. WISE (1) P. Krishna Reddy, Masaru Kitsuregawa
2000	—	`conf`	Blocking Reduction in Two-phase Commit Protocol with Multiple Backup Sites. DNIS P. Krishna Reddy, Masaru Kitsuregawa
2000	C	`conf`	Speculation Based Nested Locking Protocol to Increase the Concurrency of Nested Transactions. IDEAS P. Krishna Reddy, Masaru Kitsuregawa
1999	—	`conf`	Scalable Protocols for the Internet to Reduce Service Time and Server Load. ICSC P. Krishna Reddy, Masaru Kitsuregawa
1999	—	`conf`	Speculative Lock Management to Increase Concurrency in Mobile Environments. MDA P. Krishna Reddy, Masaru Kitsuregawa
1998	B	`conf`	Reducing the Blocking in Two-Phase Commit Protocol Employing Backup Sites. CoopIS P. Krishna Reddy, Masaru Kitsuregawa
1995	J	`jnl`	A Nonblocking Transaction Data Flow Graph Based Protocol For Replicated Databases. IEEE Trans. Knowl. Data Eng. P. Krishna Reddy, Subhash Bhalla
1993	J	`jnl`	A Non-Blocking Transaction Data Flow Graph Based Approach For Replicated Data. ACM SIGOPS Oper. Syst. Rev. P. Krishna Reddy, Subhash Bhalla
1993	J	`jnl`	Deadlock Prevention in a Distributed Database System. SIGMOD Rec. P. Krishna Reddy, Subhash Bhalla