His primary areas of study are Data mining, Probabilistic logic, Uncertain data, Database and Search engine indexing. His study in the fields of Probabilistic database and Query language under the domain of Data mining overlaps with other disciplines such as Spatial query. His Probabilistic logic research is multidisciplinary, incorporating perspectives in Range query, Information retrieval and Categorical variable.
He combines subjects such as Probability density function, Theoretical computer science and Pruning with his study of Uncertain data. His studies deal with areas such as Computer security and Real-time computing as well as Database. His Search engine indexing study incorporates themes from Object, Scalability and Data structure.
His main research concerns Data mining, Database, Theoretical computer science, Search engine indexing and Probabilistic logic. In the field of Data mining, his study on Uncertain data and Probabilistic database overlaps with subjects such as Tuple. His Uncertain data research includes themes of Database model and Pruning.
The concepts of his Database study are interwoven with issues in Computer security, Distributed computing and Information retrieval. His Theoretical computer science research is multidisciplinary, incorporating elements of Range, Sort-merge join, Join and Steganography. His research in Search engine indexing intersects with topics in Tree, Object, Scalability and Overhead.
Sunil Prabhakar focuses on Database, Data mining, Cloud computing, Information retrieval and Conflict resolution. His Database research includes elements of Range, Trie, Longest common subsequence problem and Bitmap. While working in this field, Sunil Prabhakar studies both Data mining and Subsequence.
Sunil Prabhakar has included themes like Computer security and The Internet in his Cloud computing study. His research in Information retrieval intersects with topics in Sentence and Data management. The concepts of his Scalability study are interwoven with issues in Paragraph, Distributed computing, Search engine indexing and Data aggregator.
His primary scientific interests are in Database, Cloud computing, Data mining, Scalability and Homophily. His studies in Database integrate themes in fields like Granularity, Artificial intelligence, Synchronization, Event and Machine learning. Sunil Prabhakar has included themes like Computer security, Control, Database server and Service in his Cloud computing study.
His Data mining study combines topics in areas such as Wireless sensor network, Leverage and Sensor fusion. The study incorporates disciplines such as Data stream mining, Throughput, Search engine indexing and Search algorithm in addition to Scalability. The various areas that Sunil Prabhakar examines in his Homophily study include Graph, Theoretical computer science, Embedding, Network embedding and Forcing.
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Evaluating probabilistic queries over imprecise data
Reynold Cheng;Dmitri V. Kalashnikov;Sunil Prabhakar.
international conference on management of data (2003)
Querying imprecise data in moving object environments
R. Cheng;D.V. Kalashnikov;S. Prabhakar.
international conference on data engineering (2003)
Query indexing and velocity constrained indexing: scalable techniques for continuous queries on moving objects
S. Prabhakar;Yuni Xia;D.V. Kalashnikov;W.G. Aref.
IEEE Transactions on Computers (2002)
Rights protection for relational data
R. Sion;M. Atallah;Sunil Prabhakar.
IEEE Transactions on Knowledge and Data Engineering (2004)
Preserving user location privacy in mobile data management infrastructures
Reynold Cheng;Yu Zhang;Elisa Bertino;Sunil Prabhakar.
privacy enhancing technologies (2006)
Indexing multi-dimensional uncertain data with arbitrary probability density functions
Yufei Tao;Reynold Cheng;Xiaokui Xiao;Wang Kay Ngai.
very large data bases (2005)
Efficient indexing methods for probabilistic threshold queries over uncertain data
Reynold Cheng;Yuni Xia;Sunil Prabhakar;Rahul Shah.
very large data bases (2004)
Entity identification in database integration
Ee-Peng Lim;Jaideep Srivastava;Satya Prabhakar;James Richardson.
Information Sciences (1996)
ERACER: a database approach for statistical inference and data cleaning
Chris Mayfield;Jennifer Neville;Sunil Prabhakar.
international conference on management of data (2010)
A Rule-Based Classification Algorithm for Uncertain Data
Biao Qin;Yuni Xia;Sunil Prabhakar;Yicheng Tu.
international conference on data engineering (2009)
Profile was last updated on December 6th, 2021.
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