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Krishna Reddy Polepalli
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2020 – today
- 2024
[j30]P. Krishna Reddy:
Introduction to the special issue on PAKDD'2021. Int. J. Data Sci. Anal. 17(4): 335-336 (2024)- [c115]Narendra Babu Unnam
, Krishna Reddy Polepalli, Amit Pandey, Naresh Manwani:
Text Representation Models based on the Spatial Distributional Properties of Word Embeddings. COMAD/CODS 2024: 603-604 - [c114]Raghav Mittal, Anirban Mondal, P. Krishna Reddy, Mukesh K. Mohania:
A Model for Retrieving High-Utility Itemsets with Complementary and Substitute Goods. PAKDD (1) 2024: 340-352 - 2023
- [j29]Shadaab Siddiqie, Anirban Mondal, P. Krishna Reddy:
An improved dummy generation approach for infeasible regions. Appl. Intell. 53(15): 18700-18714 (2023) - [j28]Anirban Mondal, Raghav Mittal, Samant Saurabh, Parul Chaudhary, Krishna Reddy Polepalli:
An inventory-aware and revenue-based itemset placement framework for retail stores. Expert Syst. Appl. 216: 119404 (2023) - [c113]N. Chandra Shekar, P. Krishna Reddy, K. Anupama, A. Amarender Reddy:
A Review of Approaches on Facets for Building IT-Based Career Guidance Systems. BDA 2023: 246-260 - [c112]Bhoomeendra Singh Sisodiya, Narendra Babu Unnam, P. Krishna Reddy, Apala Das, K. V. K. Santhy, V. Balakista Reddy:
Analysing the Resourcefulness of the Paragraph for Precedence Retrieval. ICAIL 2023: 452-456 - [c111]Vipul Chhabra, Rage Uday Kiran, Abinash Maharana, Juan Xiao, Krishna Reddy Polepalli, Ram Avtar, Yoshiko Ogawa, Makiko Ohtake:
A Novel Parallel Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images. IEA/AIE (1) 2023: 133-144 - [c110]Rage Uday Kiran, Abinash Maharana, Krishna Reddy Polepalli:
A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules. PAKDD (1) 2023: 264-275 - [c109]Raghav Mittal, Anirban Mondal, P. Krishna Reddy:
A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses. PAKDD (1) 2023: 276-288 - [i1]Bhoomeendra Singh Sisodiya, Narendra Babu Unnam, P. Krishna Reddy, Apala Das, K. V. K. Santhy, V. Balakista Reddy:
Analysing the Resourcefulness of the Paragraph for Precedence Retrieval. CoRR abs/2308.01203 (2023) - 2022
- [j27]Anirban Mondal, Raghav Mittal, Parul Chaudhary, Krishna Reddy Polepalli:
A framework for itemset placement with diversification for retail businesses. Appl. Intell. 52(12): 14541-14559 (2022) - [j26]P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal:
A framework for discovering popular paths using transactional modeling and pattern mining. Distributed Parallel Databases 40(1): 109-133 (2022) - [j25]A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar:
Mining subgraph coverage patterns from graph transactions. Int. J. Data Sci. Anal. 13(2): 105-121 (2022) - [j24]P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal:
A Pattern Mining Framework for Improving Billboard Advertising Revenue. Trans. Large Scale Data Knowl. Centered Syst. 52: 127-147 (2022) - [c108]Mamatha Alugubelly, Krishna Reddy Polepalli, Anirban Mondal, S. G. Mahadevappa, Balaji Naik Banoth, Gade Sreenivas:
Analysis of Weather Condition Based Reuse Among Agromet Advisory: A Validation Study. BDA 2022: 260-278 - [c107]N. Chandra Shekar, A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, Girish Agrawal:
Air Quality Data Collection in Hyderabad Using Low-Cost Sensors: Initial Experiences. DASFAA (Workshops) 2022: 402-416 - [c106]Girish Agrawal, Hifzur Rahman, Anirban Mondal, P. Krishna Reddy:
Visualizing Spatio-temporal Variation of Ambient Air Pollution in Four Small Towns in India. DASFAA (Workshops) 2022: 417-436 - [c105]R. Uday Kiran, Vipul Chhabra, Saideep Chennupati, P. Krishna Reddy, Minh-Son Dao, Koji Zettsu:
A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases. DASFAA (1) 2022: 569-577 - [c104]Raghav Mittal, Anirban Mondal, P. Krishna Reddy:
A Market Segmentation Aware Retail Itemset Placement Framework. DEXA (1) 2022: 273-286 - [c103]Vipul Chhabra, R. Uday Kiran, Juan Xiao, P. Krishna Reddy, Ram Avtar:
A Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images. IEA/AIE 2022: 470-481 - [c102]Vyshnavi Gutta, G. Sridevi, P. Krishna Reddy, M. Ritesh:
Syllabified Sequence-to-sequence attention for transliteration. PACLIC 2022: 617-625 - [c101]Narendra Babu Unnam, P. Krishna Reddy, Amit Pandey, Naresh Manwani:
Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings. SSDBM 2022: 2:1-2:12 - [e14]Partha Pratim Roy, Arvind Agarwal, Tianrui Li, P. Krishna Reddy, R. Uday Kiran:
Big Data Analytics - 10th International Conference, BDA 2022, Hyderabad, India, December 19-22, 2022, Proceedings. Lecture Notes in Computer Science 13773, Springer 2022, ISBN 978-3-031-24093-5 [contents] - [e13]Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran:
Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13245, Springer 2022, ISBN 978-3-031-00122-2 [contents] - [e12]Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran:
Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13246, Springer 2022, ISBN 978-3-031-00125-3 [contents] - [e11]Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran:
Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13247, Springer 2022, ISBN 978-3-031-00128-4 [contents] - [e10]Rage Uday Kiran, Vikram Goyal, P. Krishna Reddy:
Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Virtual Event, April 11-14, 2022, Proceedings. Lecture Notes in Computer Science 13248, Springer 2022, ISBN 978-3-031-11216-4 [contents] - 2021
- [j23]Anirban Mondal, Samant Saurabh, Parul Chaudhary, Raghav Mittal, Krishna Reddy Polepalli:
A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining. IEEE Access 9: 155207-155223 (2021) - [j22]Komallapalli Kaushik, P. Krishna Reddy, Anirban Mondal, Akhil Ralla:
An incremental framework to extract coverage patterns for dynamic databases. Int. J. Data Sci. Anal. 12(3): 273-291 (2021) - [c100]Preetham Sathineni, A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal:
An Efficient Distributed Coverage Pattern Mining Algorithm. BDA 2021: 322-340 - [c99]R. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy:
Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure. IEEE BigData 2021: 252-262 - [c98]Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito, Koji Zettsu, P. Krishna Reddy:
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. IEEE BigData 2021: 4925-4935 - [c97]Shadaab Siddiqie, Anirban Mondal, P. Krishna Reddy:
An Improved Dummy Generation Approach for Enhancing User Location Privacy. DASFAA (3) 2021: 487-495 - [c96]Raghav Mittal, Anirban Mondal, Parul Chaudhary, P. Krishna Reddy:
An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores. DEXA (2) 2021: 51-57 - [c95]P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal:
Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Mining. DEXA (1) 2021: 112-118 - [c94]Anirban Mondal, Raghav Mittal, Vrinda Khandelwal, Parul Chaudhary, P. Krishna Reddy:
PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme. DSAA 2021: 1-10 - [c93]Penugonda Ravikumar, R. Uday Kiran, Narendra Babu Unnam, Yutaka Watanobe, Kazuo Goda, V. Susheela Devi, P. Krishna Reddy:
A Novel Parameter-Free Energy Efficient Fuzzy Nearest Neighbor Classifier for Time Series Data. FUZZ-IEEE 2021: 1-6 - [c92]A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar:
A Model of Graph Transactional Coverage Patterns with Applications to Drug Discovery. HiPC 2021: 21-30 - [e9]Satish Narayana Srirama, Jerry Chun-Wei Lin, Raj Bhatnagar, Sonali Agarwal, P. Krishna Reddy:
Big Data Analytics - 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings. Lecture Notes in Computer Science 13147, Springer 2021, ISBN 978-3-030-93619-8 [contents] - [e8]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8 [contents] - [e7]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9 [contents] - [e6]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0 [contents] - 2020
- [j21]R. Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases. IEEE Access 8: 27584-27596 (2020) - [j20]Narendra Babu Unnam, P. Krishna Reddy:
A document representation framework with interpretable features using pre-trained word embeddings. Int. J. Data Sci. Anal. 10(1): 49-64 (2020) - [j19]Mittapally Kumara Swamy, P. Krishna Reddy:
A model of concept hierarchy-based diverse patterns with applications to recommender system. Int. J. Data Sci. Anal. 10(2): 177-191 (2020) - [j18]Parul Chaudhary, Anirban Mondal, Krishna Reddy Polepalli:
An improved scheme for determining top-revenue itemsets for placement in retail businesses. Int. J. Data Sci. Anal. 10(4): 359-375 (2020) - [c91]Pooja Gaur, P. Krishna Reddy, Mittapally Kumara Swamy, Anirban Mondal:
A Revenue-Based Product Placement Framework to Improve Diversity in Retail Businesses. BDA 2020: 289-307 - [c90]Vyshnavi Gutta, Narendra Babu Unnam, P. Krishna Reddy:
An improved human-in-the-loop model for fine-grained object recognition with batch-based question answering. COMAD/CODS 2020: 134-142 - [c89]Akhil Ralla, Shadaab Siddiqie, P. Krishna Reddy, Anirban Mondal:
Coverage Pattern Mining Based on MapReduce. COMAD/CODS 2020: 209-213 - [c88]Chinmay Bapna, Krishna Reddy Polepalli, Anirban Mondal:
Improving Product Placement in Retail with Generalized High-Utility Itemsets. DSAA 2020: 60-69 - [c87]R. Uday Kiran, C. Saideep, Penugonda Ravikumar, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases. FUZZ-IEEE 2020: 1-8 - [c86]Shadaab Siddiqie, Akhil Ralla, P. Krishna Reddy, Anirban Mondal:
Sensor-based Framework for Improved Air Conditioning Under Diverse Temperature Layout. ICDCN 2020: 50:1-50:6 - [c85]C. Saideep, R. Uday Kiran, Koji Zettsu, Cheng-Wei Wu, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa:
Parallel Mining of Partial Periodic Itemsets in Big Data. IEA/AIE 2020: 807-819 - [e5]Ladjel Bellatreche, Vikram Goyal, Hamido Fujita, Anirban Mondal, P. Krishna Reddy:
Big Data Analytics - 8th International Conference, BDA 2020, Sonepat, India, December 15-18, 2020, Proceedings. Lecture Notes in Computer Science 12581, Springer 2020, ISBN 978-3-030-66664-4 [contents]
2010 – 2019
- 2019
- [j17]Mamatha Alugubelly, Krishna Reddy Polepalli, Gade Sreenivas, Seishi Ninomiya:
Analysis of similar weather conditions to improve reuse in weather-based decision support systems. Comput. Electron. Agric. 157: 154-165 (2019) - [j16]Lakshmi Gangumalla, P. Krishna Reddy, Anirban Mondal:
Multi-location visibility query processing using portion-based transactional modeling and pattern mining. Data Min. Knowl. Discov. 33(5): 1393-1416 (2019) - [j15]Amar Budhiraja, Akhil Ralla, P. Krishna Reddy:
Coverage pattern based framework to improve search engine advertising. Int. J. Data Sci. Anal. 8(2): 199-211 (2019) - [c84]P. P. C. Reddy, R. Uday Kiran, Koji Zettsu, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases. BDA 2019: 287-306 - [c83]R. Uday Kiran, C. Saideep, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases. IEEE BigData 2019: 233-238 - [c82]Parul Chaudhary, Anirban Mondal, Krishna Reddy Polepalli:
An Efficient Premiumness and Utility-Based Itemset Placement Scheme for Retail Stores. DEXA (1) 2019: 287-303 - [c81]P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal:
Discovering Diverse Popular Paths Using Transactional Modeling and Pattern Mining. DEXA (1) 2019: 327-337 - [c80]T. Yashwanth Reddy, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Partial Periodic High Utility Itemsets in Temporal Databases. DEXA (2) 2019: 351-361 - [c79]Akhil Ralla, P. Krishna Reddy, Anirban Mondal:
An Incremental Technique for Mining Coverage Patterns in Large Databases. DSAA 2019: 211-220 - [c78]Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. ICDM Workshops 2019: 987-996 - [c77]C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Periodic Patterns in Irregular Time Series. ICDM Workshops 2019: 1020-1028 - [c76]R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. PAKDD (2) 2019: 191-203 - [c75]R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. SSDBM 2019: 49-60 - [e4]Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy:
Big Data Analytics - 7th International Conference, BDA 2019, Ahmedabad, India, December 17-20, 2019, Proceedings. Lecture Notes in Computer Science 11932, Springer 2019, ISBN 978-3-030-37187-6 [contents] - 2018
- [j14]J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Periodic-Correlated Patterns in Temporal Databases. Trans. Large Scale Data Knowl. Centered Syst. 38: 146-172 (2018) - [c74]R. Uday Kiran, Amulya Kotni, P. Krishna Reddy, Masashi Toyoda, Subhash Bhalla, Masaru Kitsuregawa:
Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit. IEEE BigData 2018: 723-732 - [c73]Amulya Kotni, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms. DaWaK 2018: 355-370 - [c72]Parul Chaudhary, Anirban Mondal, Krishna Reddy Polepalli:
A Diversification-Aware Itemset Placement Framework for Long-Term Sustainability of Retail Businesses. DEXA (1) 2018: 103-118 - [e3]Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, Durvasula V. L. N. Somayajulu:
Big Data Analytics - 6th International Conference, BDA 2018, Warangal, India, December 18-21, 2018, Proceedings. Lecture Notes in Computer Science 11297, Springer 2018, ISBN 978-3-030-04779-5 [contents] - 2017
- [j13]R. Uday Kiran, J. N. Venkatesh, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering partial periodic-frequent patterns in a transactional database. J. Syst. Softw. 125: 170-182 (2017) - [c71]Alugubelly Mamatha, P. Krishna Reddy, Anirban Mondal, Seishi Ninomiya, Gade Sreenivas:
A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions. BDA 2017: 40-58 - [c70]Parul Chaudhary, Anirban Mondal, Krishna Reddy Polepalli:
A Flexible and Efficient Indexing Scheme for Placement of Top-Utility Itemsets for Different Slot Sizes. BDA 2017: 257-277 - [c69]Amar Budhiraja, P. Krishna Reddy:
An Improved Approach for Long Tail Advertising in Sponsored Search. DASFAA (2) 2017: 169-184 - [c68]Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa:
An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns. DaWaK 2017: 120-129 - [c67]Mittapally Kumara Swamy, P. Krishna Reddy, Subhash Bhalla:
Association Rule Based Approach to Improve Diversity of Query Recommendations. DEXA (2) 2017: 340-350 - [c66]Rishabh Gupta, P. Krishna Reddy:
Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study. ICBK 2017: 41-48 - [c65]R. Uday Kiran, J. N. Venkatesh, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Periodic Patterns in Non-uniform Temporal Databases. PAKDD (2) 2017: 604-617 - [e2]P. Krishna Reddy, Ashish Sureka, Sharma Chakravarthy, Subhash Bhalla:
Big Data Analytics - 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings. Lecture Notes in Computer Science 10721, Springer 2017, ISBN 978-3-319-72412-6 [contents] - 2016
- [j12]R. Uday Kiran, Masaru Kitsuregawa, P. Krishna Reddy:
Efficient discovery of periodic-frequent patterns in very large databases. J. Syst. Softw. 112: 110-121 (2016) - [c64]Karnam Dileep Kumar, Krishna Reddy Polepalli, Pailla Balakrishna Reddy, Longbing Cao:
Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood. ACIIDS (2) 2016: 201-210 - [c63]Rishabh Gupta, P. Krishna Reddy:
Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow. CODS 2016: 13:1-13:2 - [c62]Vaddadi Naga Sai Kavya, P. Krishna Reddy:
An Approach to Allocate Advertisement Slots for Banner Advertising. CODS 2016: 22:1-22:2 - [c61]J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence. DEXA (1) 2016: 55-70 - [c60]Vaddadi Naga Sai Kavya, P. Krishna Reddy:
Coverage Patterns-Based Approach to Allocate Advertisement Slots for Display Advertising. ICWE 2016: 152-169 - [c59]Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa:
Memory efficient mining of periodic-frequent patterns in transactional databases. SSCI 2016: 1-8 - 2015
- [j11]P. Gowtham Srinivas, P. Krishna Reddy, A. V. Trinath, Bhargav Sripada, R. Uday Kiran:
Mining coverage patterns from transactional databases. J. Intell. Inf. Syst. 45(3): 423-439 (2015) - [c58]P. Krishna Reddy:
A Framework to Harvest Page Views of Web for Banner Advertising. BDA 2015: 57-68 - [c57]D. Satheesh Kumar, P. Krishna Reddy:
Relaxed neighbor based approach for improving protein function prediction. CODS 2015: 138-139 - [c56]Mittapally Kumara Swamy, P. Krishna Reddy:
Improving Diversity Performance of Association Rule Based Recommender Systems. DEXA (1) 2015: 499-508 - [c55]Amar Budhiraja, P. Krishna Reddy:
An approach to cover more advertisers in Adwords. DSAA 2015: 1-10 - [c54]D. Satheesh Kumar, P. Krishna Reddy:
Improved approach for protein function prediction by exploiting prominent proteins. DSAA 2015: 1-7 - [c53]K. Raghav, Pailla Balakrishna Reddy, V. Balakista Reddy, Krishna Reddy Polepalli:
Text and Citations Based Cluster Analysis of Legal Judgments. MIKE 2015: 449-459 - 2014
- [c52]Alugubelly Mamatha, Krishna Reddy Polepalli, Mittapally Kumara Swamy, Gade Sreenivas, D. Raji Reddy:
A Framework to Improve Reuse in Weather-Based Decision Support Systems. BDA 2014: 1-13 - [c51]D. Satheesh Kumar, Krishna Reddy Polepalli, Nita Parekh:
Relaxed Neighbor Based Graph Transformations for Effective Preprocessing: A Function Prediction Case Study. BDA 2014: 114-128 - [c50]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:
Development of eAgromet Prototype to Improve the Performance of Integrated Agromet Advisory Service. DNIS 2014: 168-188 - [c49]A. V. Trinath, P. Gowtham Srinivas, P. Krishna Reddy:
Content specific coverage patterns for banner advertisement placement. DSAA 2014: 263-269 - [c48]Mittapally Kumara Swamy, P. Krishna Reddy, Somya Srivastava:
Extracting Diverse Patterns with Unbalanced Concept Hierarchy. PAKDD (1) 2014: 15-27 - 2013
- [c47]Sushanta Kumar, P. Krishna Reddy, V. Balakista Reddy, Malti Suri:
Finding Similar Legal Judgements under Common Law System. DNIS 2013: 103-116 - [c46]P. Gowtham Srinivas, P. Krishna Reddy, A. V. Trinath:
CPPG: Efficient Mining of Coverage Patterns Using Projected Pattern Growth Technique. PAKDD Workshops 2013: 319-329 - 2012
- [j10]Mittapally Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, M. Venugopal Reddy:
Temporality-based user interface design approaches for desktop and small screen environment. Int. J. Comput. Sci. Eng. 7(1): 52-64 (2012) - [j9]Abhishek Sainani, P. Krishna Reddy, Sumit Maheshwari:
Mining special features to improve the performance of e-commerce product selection and resume processing. Int. J. Comput. Sci. Eng. 7(1): 82-95 (2012) - [c45]Ammar Yasir, Mittapally Kumara Swamy, Krishna Reddy Polepalli, Subhash Bhalla:
Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases. BDA 2012: 26-41 - [c44]Krishna Reddy Polepalli, Basi Bhaskar Reddy, D. Rama Rao:
A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education. BDA 2012: 62-76 - [c43]Ammar Yasir, Mittapally Kumara Swamy, Krishna Reddy Polepalli:
Exploiting Schema and Documentation for Summarizing Relational Databases. BDA 2012: 77-90 - [c42]P. Gowtham Srinivas, P. Krishna Reddy, Bhargav Sripada, R. Uday Kiran, D. Satheesh Kumar:
Discovering Coverage Patterns for Banner Advertisement Placement. PAKDD (2) 2012: 133-144 - 2011
- [c41]Somya Srivastava, R. Uday Kiran, P. Krishna Reddy:
Discovering Diverse-Frequent Patterns in Transactional Databases. COMAD 2011: 69-78 - [c40]Sushanta Kumar, P. Krishna Reddy, V. Balakista Reddy, Aditya Singh:
Similarity analysis of legal judgments. Bangalore Compute Conf. 2011: 17 - [c39]Mohak Sharma, P. Krishna Reddy:
Using lower-bound similarity to enhance the performance of recommender systems. Bangalore Compute Conf. 2011: 22 - [c38]R. Uday Kiran, P. Krishna Reddy:
An Alternative Interestingness Measure for Mining Periodic-Frequent Patterns. DASFAA (1) 2011: 183-192 - [c37]Mohak Sharma, P. Krishna Reddy, R. Uday Kiran, Thirumalaisamy Ragunathan:
Improving the Performance of Recommender System by Exploiting the Categories of Products. DNIS 2011: 137-146 - [c36]R. Uday Kiran, P. Krishna Reddy:
Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms. EDBT 2011: 11-20 - [c35]Akshat Surana, R. Uday Kiran, P. Krishna Reddy:
An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases. PAKDD Workshops 2011: 254-266 - [c34]Bhargav Sripada, Krishna Reddy Polepalli, Rage Uday Kiran:
Coverage patterns for efficient banner advertisement placement. WWW (Companion Volume) 2011: 131-132 - 2010
- [j8]R. Uday Kiran, P. Krishna Reddy, Mittapally Kumara Swamy, G. Syamasundar Reddy:
Analysing dynamics of crop problems by applying text analysis methods on farm advisory data of eSaguTM. Int. J. Comput. Sci. Eng. 5(2): 154-164 (2010) - [j7]Thirumalaisamy Ragunathan, P. Krishna Reddy:
Speculation-based protocols for improving the performance of read-only transactions. Int. J. Comput. Sci. Eng. 5(3/4): 226-242 (2010) - [c33]R. Uday Kiran, Krishna Reddy Polepalli:
An Efficient Approach to Mine Rare Association Rules Using Maximum Items' Support Constraints. BNCOD 2010: 84-95 - [c32]Akshat Surana, R. Uday Kiran, P. Krishna Reddy:
Selecting a Right Interestingness Measure for Rare Association Rules. COMAD 2010: 115 - [c31]R. Uday Kiran, P. Krishna Reddy:
Mining periodic-frequent patterns with maximum items' support constraints. Bangalore Compute Conf. 2010: 1:1-1:8 - [c30]Thirumalaisamy Ragunathan, P. Krishna Reddy:
Performance evaluation of speculation-based protocol for read-only transactions. Bangalore Compute Conf. 2010: 13:1-13:4 - [c29]R. Uday Kiran, P. Krishna Reddy:
Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies. DASFAA (1) 2010: 49-62 - [c28]R. Uday Kiran, P. Krishna Reddy:
Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases. DEXA (2) 2010: 194-208 - [c27]Sumit Maheshwari, Abhishek Sainani, P. Krishna Reddy:
An Approach to Extract Special Skills to Improve the Performance of Resume Selection. DNIS 2010: 256-273 - [c26]Mittapally Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, M. Venugopal Reddy:
Interface Tailoring by Exploiting Temporality of Attributes for Small Screens. DNIS 2010: 284-295 - [c25]Mohit Goyal, Thirumalaisamy Ragunathan, P. Krishna Reddy:
Extending Speculation-Based Protocols for Processing Read-Only Transactions in Distributed Database Systems. HPCC 2010: 527-532 - [c24]Thirumalaisamy Ragunathan, P. Krishna Reddy, Mohit Goyal:
Semantics-based asynchronous speculative locking protocol for improving the performance of read-only transactions. SpringSim 2010: 238
2000 – 2009
- 2009
- [c23]Sumit Maheshwari, P. Krishna Reddy:
Discovering special product features for improving the process of product selection in E-commerce environment. ICEC 2009: 47-56 - [c22]Mittapally Kumara Swamy, Krishna Reddy Polepalli:
An Efficient Context-Based User Interface by Exploiting Temporality of Attributes. APSEC 2009: 205-212 - [c21]R. Uday Kiran, P. Krishna Reddy:
An improved multiple minimum support based approach to mine rare association rules. CIDM 2009: 340-347 - [c20]R. Uday Kiran, P. Krishna Reddy:
Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports. COMAD 2009 - [c19]R. Uday Kiran, P. Krishna Reddy:
An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules. KDIR 2009: 43-52 - [c18]Gaurav Ruhela, P. Krishna Reddy:
BoostWeight: An Approach to Boost the Term Weights in a Document Vector by Exploiting Open Web Directory. IKE 2009: 116-122 - [c17]Gaurav Ruhela, P. Krishna Reddy:
Improving Text Document Clustering by Exploiting Open Web Directory. SEKE 2009: 87-92 - 2008
- [c16]Thirumalaisamy Ragunathan, P. Krishna Reddy:
Exploiting Semantics and Speculation for Improving the Performance of Read-only Transactions. COMAD 2008: 162-173 - [c15]Thirumalaisamy Ragunathan, P. Krishna Reddy:
Improving the performance of read-only transactions through asynchronous speculation. SpringSim 2008: 467-474 - [e1]Gautam Das, N. L. Sarda, P. Krishna Reddy:
Proceedings of the 14th International Conference on Management of Data, December 17-19, 2008, IIT Bombay, Mumbai, India. Computer Society of India / Allied Publishers 2008, ISBN 978-81-8424-370-3 [contents] - 2007
- [c14]Thirumalaisamy Ragunathan, P. Krishna Reddy:
Improving the Performance of Read-Only Transactions Through Speculation. DNIS 2007: 203-221 - [c13]R. Uday Kiran, P. Krishna Reddy:
Understanding the Dynamics of Crop Problems by Analyzing Farm Advisory Data in eSagu TM . DNIS 2007: 272-284 - [c12]P. Krishna Reddy, G. V. Ramaraju, G. Syamasundar Reddy:
eSaguTM: a data warehouse enabled personalized agricultural advisory system. SIGMOD Conference 2007: 910-914 - 2005
- [c11]Dangeti Ravi Shankar, Pradeep Beerla, P. Krishna Reddy:
Leadership resources in the World Wide Web. COMAD (b) 2005 - [c10]P. Arun Kumar, K. Praveen Kumar, T. Someswara Rao, P. Krishna Reddy:
An Improved Approach to Extract Document Summaries Based on Popularity. DNIS 2005: 310-318 - 2004
- [j6]P. Krishna Reddy, Masaru Kitsuregawa:
Speculative Locking Protocols to Improve Performance for Distributed Database System. IEEE Trans. Knowl. Data Eng. 16(2): 154-169 (2004) - 2003
- [j5]P. Krishna Reddy, Masaru Kitsuregawa:
Reducing the blocking in two-phase commit with backup sites. Inf. Process. Lett. 86(1): 39-47 (2003) - [j4]P. Krishna Reddy, Subhash Bhalla:
Asynchronous Operations in Distributed Concurrency Control. IEEE Trans. Knowl. Data Eng. 15(3): 721-733 (2003) - [c9]Rajat Gupta, B. V. L. Narayana, P. Krishna Reddy, G. V. Ranga Rao, C. L. L. Gowda, Y. V. R. Reddy, Garimella Rama Murthy:
Understanding Helicoverpa armigera Pest Population Dynamics related to Chickpea Crop Using Neural Networks. ICDM 2003: 723-726 - [c8]Garimella Rama Murthy, Gaurav Vijayvargiya, M. Thiyagarajan, P. Krishna Reddy:
Optimal Binary Filters: Neural Networks. IICAI 2003: 35-42 - 2002
- [c7]P. Krishna Reddy, Masaru Kitsuregawa, P. Sreekanth, S. Srinivasa Rao:
A Graph Based Approach to Extract a Neighborhood Customer Community for Collaborative Filtering. DNIS 2002: 188-200 - 2001
- [c6]P. Krishna Reddy, Masaru Kitsuregawa:
An Approach to Relate the Web Communities through Bipartite Graphs. WISE (1) 2001: 301-310 - 2000
- [c5]P. Krishna Reddy, Masaru Kitsuregawa:
Blocking Reduction in Two-phase Commit Protocol with Multiple Backup Sites. DNIS 2000: 200-215 - [c4]P. Krishna Reddy, Masaru Kitsuregawa:
Speculation Based Nested Locking Protocol to Increase the Concurrency of Nested Transactions. IDEAS 2000: 296-305
1990 – 1999
- 1999
- [c3]P. Krishna Reddy, Masaru Kitsuregawa:
Scalable Protocols for the Internet to Reduce Service Time and Server Load. ICSC 1999: 346-353 - [c2]P. Krishna Reddy, Masaru Kitsuregawa:
Speculative Lock Management to Increase Concurrency in Mobile Environments. MDA 1999: 82-96 - 1998
- [c1]P. Krishna Reddy, Masaru Kitsuregawa:
Reducing the Blocking in Two-Phase Commit Protocol Employing Backup Sites. CoopIS 1998: 406-416 - 1995
- [j3]P. Krishna Reddy, Subhash Bhalla:
A Nonblocking Transaction Data Flow Graph Based Protocol For Replicated Databases. IEEE Trans. Knowl. Data Eng. 7(5): 829-834 (1995) - 1993
- [j2]P. Krishna Reddy, Subhash Bhalla:
Deadlock Prevention in a Distributed Database System. SIGMOD Rec. 22(3): 40-46 (1993) - [j1]P. Krishna Reddy, Subhash Bhalla:
A Non-Blocking Transaction Data Flow Graph Based Approach For Replicated Data. ACM SIGOPS Oper. Syst. Rev. 27(3): 46-54 (1993)
Coauthor Index
R. Uday Kiran
aka: Rage Uday Kiran
aka: Rage Uday Kiran
[c111] [c110] [c105] [c103] [e14] [e13] [e12] [e11] [e10] [c99] [c98] [c93] [j21] [c87] [c85] [c84] [c83] [c80] [c78] [c77] [c76] [c75] [j14] [c74] [c73] [j13] [c68] [c65] [j12] [c61] [c59] [j11] [j10] [c42] [c41] [c38] [c37] [c36] [c35] [c34] [j8] [c33] [c32] [c31] [c29] [c28] [c26] [c21] [c20] [c19] [c13]
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