P. Krishna Reddy

Orcid: 0000-0003-1238-5174

According to our database1, P. Krishna Reddy authored at least 143 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Text Representation Models based on the Spatial Distributional Properties of Word Embeddings.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023
An improved dummy generation approach for infeasible regions.
Appl. Intell., August, 2023

An inventory-aware and revenue-based itemset placement framework for retail stores.
Expert Syst. Appl., April, 2023

A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

A Novel Parallel Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

Analysing the Resourcefulness of the Paragraph for Precedence Retrieval.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

A Review of Approaches on Facets for Building IT-Based Career Guidance Systems.
Proceedings of the Big Data and Artificial Intelligence - 11th International Conference, 2023

2022
A Pattern Mining Framework for Improving Billboard Advertising Revenue.
Trans. Large Scale Data Knowl. Centered Syst., 2022

Mining subgraph coverage patterns from graph transactions.
Int. J. Data Sci. Anal., 2022

A framework for discovering popular paths using transactional modeling and pattern mining.
Distributed Parallel Databases, 2022

A framework for itemset placement with diversification for retail businesses.
Appl. Intell., 2022

Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

Syllabified Sequence-to-sequence attention for transliteration.
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

A Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

A Market Segmentation Aware Retail Itemset Placement Framework.
Proceedings of the Database and Expert Systems Applications, 2022

Air Quality Data Collection in Hyderabad Using Low-Cost Sensors: Initial Experiences.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases.
Proceedings of the Database Systems for Advanced Applications, 2022

Visualizing Spatio-temporal Variation of Ambient Air Pollution in Four Small Towns in India.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

Analysis of Weather Condition Based Reuse Among Agromet Advisory: A Validation Study.
Proceedings of the Big Data Analytics - 10th International Conference, 2022

2021
An incremental framework to extract coverage patterns for dynamic databases.
Int. J. Data Sci. Anal., 2021

A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining.
IEEE Access, 2021

A Model of Graph Transactional Coverage Patterns with Applications to Drug Discovery.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

A Novel Parameter-Free Energy Efficient Fuzzy Nearest Neighbor Classifier for Time Series Data.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Mining.
Proceedings of the Database and Expert Systems Applications, 2021

An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores.
Proceedings of the Database and Expert Systems Applications, 2021

An Improved Dummy Generation Approach for Enhancing User Location Privacy.
Proceedings of the Database Systems for Advanced Applications, 2021

Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

An Efficient Distributed Coverage Pattern Mining Algorithm.
Proceedings of the Big Data Analytics - 9th International Conference, 2021

2020
A document representation framework with interpretable features using pre-trained word embeddings.
Int. J. Data Sci. Anal., 2020

A model of concept hierarchy-based diverse patterns with applications to recommender system.
Int. J. Data Sci. Anal., 2020

An improved scheme for determining top-revenue itemsets for placement in retail businesses.
Int. J. Data Sci. Anal., 2020

Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases.
IEEE Access, 2020

Parallel Mining of Partial Periodic Itemsets in Big Data.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Sensor-based Framework for Improved Air Conditioning Under Diverse Temperature Layout.
Proceedings of the ICDCN 2020: 21st International Conference on Distributed Computing and Networking, 2020

Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Improving Product Placement in Retail with Generalized High-Utility Itemsets.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Coverage Pattern Mining Based on MapReduce.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

An improved human-in-the-loop model for fine-grained object recognition with batch-based question answering.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

A Revenue-Based Product Placement Framework to Improve Diversity in Retail Businesses.
Proceedings of the Big Data Analytics - 8th International Conference, 2020

2019
Coverage pattern based framework to improve search engine advertising.
Int. J. Data Sci. Anal., 2019

Multi-location visibility query processing using portion-based transactional modeling and pattern mining.
Data Min. Knowl. Discov., 2019

Analysis of similar weather conditions to improve reuse in weather-based decision support systems.
Comput. Electron. Agric., 2019

Discovering Spatial High Utility Itemsets in Spatiotemporal Databases.
Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Discovering Periodic Patterns in Irregular Time Series.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

An Incremental Technique for Mining Coverage Patterns in Large Databases.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Discovering Partial Periodic High Utility Itemsets in Temporal Databases.
Proceedings of the Database and Expert Systems Applications, 2019

Discovering Diverse Popular Paths Using Transactional Modeling and Pattern Mining.
Proceedings of the Database and Expert Systems Applications, 2019

An Efficient Premiumness and Utility-Based Itemset Placement Scheme for Retail Stores.
Proceedings of the Database and Expert Systems Applications, 2019

Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases.
Proceedings of the Big Data Analytics - 7th International Conference, 2019

2018
Discovering Periodic-Correlated Patterns in Temporal Databases.
Trans. Large Scale Data Knowl. Centered Syst., 2018

A Diversification-Aware Itemset Placement Framework for Long-Term Sustainability of Retail Businesses.
Proceedings of the Database and Expert Systems Applications, 2018

Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Discovering partial periodic-frequent patterns in a transactional database.
J. Syst. Softw., 2017

Discovering Periodic Patterns in Non-uniform Temporal Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

Association Rule Based Approach to Improve Diversity of Query Recommendations.
Proceedings of the Database and Expert Systems Applications, 2017

An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

An Improved Approach for Long Tail Advertising in Sponsored Search.
Proceedings of the Database Systems for Advanced Applications, 2017

A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions.
Proceedings of the Big Data Analytics - 5th International Conference, 2017

A Flexible and Efficient Indexing Scheme for Placement of Top-Utility Itemsets for Different Slot Sizes.
Proceedings of the Big Data Analytics - 5th International Conference, 2017

2016
Efficient discovery of periodic-frequent patterns in very large databases.
J. Syst. Softw., 2016

Memory efficient mining of periodic-frequent patterns in transactional databases.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Coverage Patterns-Based Approach to Allocate Advertisement Slots for Display Advertising.
Proceedings of the Web Engineering - 16th International Conference, 2016

Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence.
Proceedings of the Database and Expert Systems Applications, 2016

An Approach to Allocate Advertisement Slots for Banner Advertising.
Proceedings of the 3rd IKDD Conference on Data Science, 2016

Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow.
Proceedings of the 3rd IKDD Conference on Data Science, 2016

Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Mining coverage patterns from transactional databases.
J. Intell. Inf. Syst., 2015

Text and Citations Based Cluster Analysis of Legal Judgments.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015

Improved approach for protein function prediction by exploiting prominent proteins.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

An approach to cover more advertisers in Adwords.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Improving Diversity Performance of Association Rule Based Recommender Systems.
Proceedings of the Database and Expert Systems Applications, 2015

Relaxed neighbor based approach for improving protein function prediction.
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

A Framework to Harvest Page Views of Web for Banner Advertising.
Proceedings of the Big Data Analytics - 4th International Conference, 2015

2014
Extracting Diverse Patterns with Unbalanced Concept Hierarchy.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Content specific coverage patterns for banner advertisement placement.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Development of eAgromet Prototype to Improve the Performance of Integrated Agromet Advisory Service.
Proceedings of the Databases in Networked Information Systems - 9th International Workshop, 2014

A Framework to Improve Reuse in Weather-Based Decision Support Systems.
Proceedings of the Big Data Analytics - Third International Conference, 2014

Relaxed Neighbor Based Graph Transformations for Effective Preprocessing: A Function Prediction Case Study.
Proceedings of the Big Data Analytics - Third International Conference, 2014

2013
CPPG: Efficient Mining of Coverage Patterns Using Projected Pattern Growth Technique.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Finding Similar Legal Judgements under Common Law System.
Proceedings of the Databases in Networked Information Systems - 8th International Workshop, 2013

2012
Temporality-based user interface design approaches for desktop and small screen environment.
Int. J. Comput. Sci. Eng., 2012

Mining special features to improve the performance of e-commerce product selection and resume processing.
Int. J. Comput. Sci. Eng., 2012

Discovering Coverage Patterns for Banner Advertisement Placement.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases.
Proceedings of the Big Data Analytics, First International Conference, 2012

Exploiting Schema and Documentation for Summarizing Relational Databases.
Proceedings of the Big Data Analytics, First International Conference, 2012

A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education.
Proceedings of the Big Data Analytics, First International Conference, 2012

2011
Coverage patterns for efficient banner advertisement placement.
Proceedings of the 20th International Conference on World Wide Web, 2011

An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms.
Proceedings of the EDBT 2011, 2011

Improving the Performance of Recommender System by Exploiting the Categories of Products.
Proceedings of the Databases in Networked Information Systems - 7th International Workshop, 2011

An Alternative Interestingness Measure for Mining Periodic-Frequent Patterns.
Proceedings of the Database Systems for Advanced Applications, 2011

Using lower-bound similarity to enhance the performance of recommender systems.
Proceedings of the 4th Bangalore Annual Compute Conference, Compute 2011, 2011

Similarity analysis of legal judgments.
Proceedings of the 4th Bangalore Annual Compute Conference, Compute 2011, 2011

Discovering Diverse-Frequent Patterns in Transactional Databases.
Proceedings of the 17th International Conference on Management of Data, 2011

2010
Speculation-based protocols for improving the performance of read-only transactions.
Int. J. Comput. Sci. Eng., 2010

Analysing dynamics of crop problems by applying text analysis methods on farm advisory data of eSagu<sup>TM</sup>.
Int. J. Comput. Sci. Eng., 2010

Semantics-based asynchronous speculative locking protocol for improving the performance of read-only transactions.
Proceedings of the 2010 Spring Simulation Multiconference, 2010

Extending Speculation-Based Protocols for Processing Read-Only Transactions in Distributed Database Systems.
Proceedings of the 12th IEEE International Conference on High Performance Computing and Communications, 2010

Interface Tailoring by Exploiting Temporality of Attributes for Small Screens.
Proceedings of the Databases in Networked Information Systems, 6th International Workshop, 2010

An Approach to Extract Special Skills to Improve the Performance of Resume Selection.
Proceedings of the Databases in Networked Information Systems, 6th International Workshop, 2010

Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases.
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010

Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies.
Proceedings of the Database Systems for Advanced Applications, 2010

Performance evaluation of speculation-based protocol for read-only transactions.
Proceedings of the 3rd Bangalore Annual Compute Conference, Compute 2010, 2010

Mining periodic-frequent patterns with maximum items' support constraints.
Proceedings of the 3rd Bangalore Annual Compute Conference, Compute 2010, 2010

Selecting a Right Interestingness Measure for Rare Association Rules.
Proceedings of the 16th International Conference on Management of Data, 2010

An Efficient Approach to Mine Rare Association Rules Using Maximum Items' Support Constraints.
Proceedings of the Data Security and Security Data, 2010

2009
Improving Text Document Clustering by Exploiting Open Web Directory.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

BoostWeight: An Approach to Boost the Term Weights in a Document Vector by Exploiting Open Web Directory.
Proceedings of the 2009 International Conference on Information & Knowledge Engineering, 2009

An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports.
Proceedings of the 15th International Conference on Management of Data, 2009

An improved multiple minimum support based approach to mine rare association rules.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

An Efficient Context-Based User Interface by Exploiting Temporality of Attributes.
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009

Discovering special product features for improving the process of product selection in E-commerce environment.
Proceedings of the 11th International Conference on Electronic Commerce 2009, 2009

2008
Improving the performance of read-only transactions through asynchronous speculation.
Proceedings of the 2008 Spring Simulation Multiconference, 2008

Exploiting Semantics and Speculation for Improving the Performance of Read-only Transactions.
Proceedings of the 14th International Conference on Management of Data, 2008

2007
eSagu<sup>TM</sup>: a data warehouse enabled personalized agricultural advisory system.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Improving the Performance of Read-Only Transactions Through Speculation.
Proceedings of the Databases in Networked Information Systems, 5th International Workshop, 2007

Understanding the Dynamics of Crop Problems by Analyzing Farm Advisory Data in eSagu<sup> <i>TM</i> </sup>.
Proceedings of the Databases in Networked Information Systems, 5th International Workshop, 2007

2005
An Improved Approach to Extract Document Summaries Based on Popularity.
Proceedings of the Databases in Networked Information Systems, 4th International Workshop, 2005

Leadership resources in the World Wide Web.
Proceedings of the Advances in Data Management 2005, 2005

2004
Speculative Locking Protocols to Improve Performance for Distributed Database System.
IEEE Trans. Knowl. Data Eng., 2004

2003
Asynchronous Operations in Distributed Concurrency Control.
IEEE Trans. Knowl. Data Eng., 2003

Reducing the blocking in two-phase commit with backup sites.
Inf. Process. Lett., 2003

Optimal Binary Filters: Neural Networks.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Understanding Helicoverpa armigera Pest Population Dynamics related to Chickpea Crop Using Neural Networks.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
A Graph Based Approach to Extract a Neighborhood Customer Community for Collaborative Filtering.
Proceedings of the Databases in Networked Information Systems, 2002

2001
An Approach to Relate the Web Communities through Bipartite Graphs.
Proceedings of the 2nd International Conference on Web Information Systems Engineering, 2001

2000
Speculation Based Nested Locking Protocol to Increase the Concurrency of Nested Transactions.
Proceedings of the 2000 International Database Engineering and Applications Symposium, 2000

Blocking Reduction in Two-phase Commit Protocol with Multiple Backup Sites.
Proceedings of the Databases in Networked Information Systems, 2000

1999
Speculative Lock Management to Increase Concurrency in Mobile Environments.
Proceedings of the Mobile Data Access, First International Conference, 1999

Scalable Protocols for the Internet to Reduce Service Time and Server Load.
Proceedings of the Internet Applications, 5th International Computer Science Conference, 1999

1998
Reducing the Blocking in Two-Phase Commit Protocol Employing Backup Sites.
Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems, 1998

1995
A Nonblocking Transaction Data Flow Graph Based Protocol For Replicated Databases.
IEEE Trans. Knowl. Data Eng., 1995

1993
A Non-Blocking Transaction Data Flow Graph Based Approach For Replicated Data.
ACM SIGOPS Oper. Syst. Rev., 1993

Deadlock Prevention in a Distributed Database System.
SIGMOD Rec., 1993


  Loading...