P. Krishna Reddy

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 69

Top Venues

BDA

Int. J. Data Sci. Anal.

DEXA (1)

DSAA

Publications

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)
P. Krishna Reddy
Introduction to the special issue on PAKDD'2021. Int. J. Data Sci. Anal. 17 (4) (2024)
Raghav Mittal, Anirban Mondal, P. Krishna Reddy
A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses. PAKDD (1) (2023)
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)
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)
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 (2023)
Shadaab Siddiqie, Anirban Mondal, P. Krishna Reddy
An improved dummy generation approach for infeasible regions. Appl. Intell. 53 (15) (2023)
Vyshnavi Gutta, G. Sridevi, P. Krishna Reddy, M. Ritesh
Syllabified Sequence-to-sequence attention for transliteration. PACLIC (2022)
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 (2022)
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)
Raghav Mittal, Anirban Mondal, P. Krishna Reddy
A Market Segmentation Aware Retail Itemset Placement Framework. DEXA (1) (2022)
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)
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)
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) (2022)
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)
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)
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) (2022)
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)
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)
Preetham Sathineni, A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal
An Efficient Distributed Coverage Pattern Mining Algorithm. BDA (2021)
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)
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) (2021)
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)
Raghav Mittal, Anirban Mondal, Parul Chaudhary, P. Krishna Reddy
An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores. DEXA (2) (2021)
Anirban Mondal, Raghav Mittal, Vrinda Khandelwal, Parul Chaudhary, P. Krishna Reddy
PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme. DSAA (2021)
P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal
Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Mining. DEXA (1) (2021)
Shadaab Siddiqie, Anirban Mondal, P. Krishna Reddy
An Improved Dummy Generation Approach for Enhancing User Location Privacy. DASFAA (3) (2021)
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) (2020)
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)
Pooja Gaur, P. Krishna Reddy, Mittapally Kumara Swamy, Anirban Mondal
A Revenue-Based Product Placement Framework to Improve Diversity in Retail Businesses. BDA (2020)
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) (2020)
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)
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)
Shadaab Siddiqie, Akhil Ralla, P. Krishna Reddy, Anirban Mondal
Sensor-based Framework for Improved Air Conditioning Under Diverse Temperature Layout. ICDCN (2020)
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 (2020)
Akhil Ralla, Shadaab Siddiqie, P. Krishna Reddy, Anirban Mondal
Coverage Pattern Mining Based on MapReduce. COMAD/CODS (2020)
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)
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) (2019)
P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal
Discovering Diverse Popular Paths Using Transactional Modeling and Pattern Mining. DEXA (1) (2019)
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)
Akhil Ralla, P. Krishna Reddy, Anirban Mondal
An Incremental Technique for Mining Coverage Patterns in Large Databases. DSAA (2019)
Amar Budhiraja, Akhil Ralla, P. Krishna Reddy
Coverage pattern based framework to improve search engine advertising. Int. J. Data Sci. Anal. 8 (2) (2019)
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)
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)
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)
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)
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)
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)
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)
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 (2018)
Rishabh Gupta, P. Krishna Reddy
Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study. ICBK (2017)
Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa
An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns. DaWaK (2017)
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)
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)
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 (2017)
Amar Budhiraja, P. Krishna Reddy
An Improved Approach for Long Tail Advertising in Sponsored Search. DASFAA (2) (2017)
Mittapally Kumara Swamy, P. Krishna Reddy, Subhash Bhalla
Association Rule Based Approach to Improve Diversity of Query Recommendations. DEXA (2) (2017)
Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa
Memory efficient mining of periodic-frequent patterns in transactional databases. SSCI (2016)
R. Uday Kiran, Masaru Kitsuregawa, P. Krishna Reddy
Efficient discovery of periodic-frequent patterns in very large databases. J. Syst. Softw. 112 (2016)
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)
Rishabh Gupta, P. Krishna Reddy
Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow. CODS (2016)
Vaddadi Naga Sai Kavya, P. Krishna Reddy
An Approach to Allocate Advertisement Slots for Banner Advertising. CODS (2016)
Vaddadi Naga Sai Kavya, P. Krishna Reddy
Coverage Patterns-Based Approach to Allocate Advertisement Slots for Display Advertising. ICWE (2016)
P. Krishna Reddy
A Framework to Harvest Page Views of Web for Banner Advertising. BDA (2015)
D. Satheesh Kumar, P. Krishna Reddy
Improved approach for protein function prediction by exploiting prominent proteins. DSAA (2015)
Mittapally Kumara Swamy, P. Krishna Reddy
Improving Diversity Performance of Association Rule Based Recommender Systems. DEXA (1) (2015)
Amar Budhiraja, P. Krishna Reddy
An approach to cover more advertisers in Adwords. DSAA (2015)
D. Satheesh Kumar, P. Krishna Reddy
Relaxed neighbor based approach for improving protein function prediction. CODS (2015)
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) (2015)
A. V. Trinath, P. Gowtham Srinivas, P. Krishna Reddy
Content specific coverage patterns for banner advertisement placement. DSAA (2014)
Mittapally Kumara Swamy, P. Krishna Reddy, Somya Srivastava
Extracting Diverse Patterns with Unbalanced Concept Hierarchy. PAKDD (1) (2014)
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)
Sushanta Kumar, P. Krishna Reddy, V. Balakista Reddy, Malti Suri
Finding Similar Legal Judgements under Common Law System. DNIS (2013)
P. Gowtham Srinivas, P. Krishna Reddy, A. V. Trinath
CPPG: Efficient Mining of Coverage Patterns Using Projected Pattern Growth Technique. PAKDD Workshops (2013)
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) (2012)
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) (2012)
P. Gowtham Srinivas, P. Krishna Reddy, Bhargav Sripada, R. Uday Kiran, D. Satheesh Kumar
Discovering Coverage Patterns for Banner Advertisement Placement. PAKDD (2) (2012)
R. Uday Kiran, P. Krishna Reddy
An Alternative Interestingness Measure for Mining Periodic-Frequent Patterns. DASFAA (1) (2011)
Mohak Sharma, P. Krishna Reddy, R. Uday Kiran, Thirumalaisamy Ragunathan
Improving the Performance of Recommender System by Exploiting the Categories of Products. DNIS (2011)
Somya Srivastava, R. Uday Kiran, P. Krishna Reddy
Discovering Diverse-Frequent Patterns in Transactional Databases. COMAD (2011)
Mohak Sharma, P. Krishna Reddy
Using lower-bound similarity to enhance the performance of recommender systems. Bangalore Compute Conf. (2011)
Sushanta Kumar, P. Krishna Reddy, V. Balakista Reddy, Aditya Singh
Similarity analysis of legal judgments. Bangalore Compute Conf. (2011)
Akshat Surana, R. Uday Kiran, P. Krishna Reddy
An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases. PAKDD Workshops (2011)
R. Uday Kiran, P. Krishna Reddy
Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms. EDBT (2011)
R. Uday Kiran, P. Krishna Reddy
Mining periodic-frequent patterns with maximum items' support constraints. Bangalore Compute Conf. (2010)
Thirumalaisamy Ragunathan, P. Krishna Reddy
Speculation-based protocols for improving the performance of read-only transactions. Int. J. Comput. Sci. Eng. 5 (3/4) (2010)
Thirumalaisamy Ragunathan, P. Krishna Reddy, Mohit Goyal
Semantics-based asynchronous speculative locking protocol for improving the performance of read-only transactions. SpringSim (2010)
Sumit Maheshwari, Abhishek Sainani, P. Krishna Reddy
An Approach to Extract Special Skills to Improve the Performance of Resume Selection. DNIS (2010)
R. Uday Kiran, P. Krishna Reddy
Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases. DEXA (2) (2010)
Mittapally Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, M. Venugopal Reddy
Interface Tailoring by Exploiting Temporality of Attributes for Small Screens. DNIS (2010)
Thirumalaisamy Ragunathan, P. Krishna Reddy
Performance evaluation of speculation-based protocol for read-only transactions. Bangalore Compute Conf. (2010)
R. Uday Kiran, P. Krishna Reddy
Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies. DASFAA (1) (2010)
Akshat Surana, R. Uday Kiran, P. Krishna Reddy
Selecting a Right Interestingness Measure for Rare Association Rules. COMAD (2010)
R. Uday Kiran, P. Krishna Reddy, Mittapally Kumara Swamy, G. Syamasundar Reddy
. Int. J. Comput. Sci. Eng. 5 (2) (2010)
Mohit Goyal, Thirumalaisamy Ragunathan, P. Krishna Reddy
Extending Speculation-Based Protocols for Processing Read-Only Transactions in Distributed Database Systems. HPCC (2010)
R. Uday Kiran, P. Krishna Reddy
An improved multiple minimum support based approach to mine rare association rules. CIDM (2009)
Sumit Maheshwari, P. Krishna Reddy
Discovering special product features for improving the process of product selection in E-commerce environment. ICEC (2009)
Gaurav Ruhela, P. Krishna Reddy
Improving Text Document Clustering by Exploiting Open Web Directory. SEKE (2009)
Gaurav Ruhela, P. Krishna Reddy
BoostWeight: An Approach to Boost the Term Weights in a Document Vector by Exploiting Open Web Directory. IKE (2009)
R. Uday Kiran, P. Krishna Reddy
An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules. KDIR (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

P. Krishna Reddy