Query optimization, Sargable, Query expansion, Query language and Theoretical computer science are his primary areas of study. His work on Query plan as part of general Sargable study is frequently linked to Data mining, therefore connecting diverse disciplines of science. Vijayshankar Raman combines topics linked to Distributed computing with his work on Query expansion.
His studies deal with areas such as Thrashing, Multi-core processor, Dataflow, Parallel computing and Set as well as Distributed computing. His study looks at the intersection of Parallel computing and topics like Central processing unit with Database. His research investigates the connection between Query language and topics such as Data stream management system that intersect with problems in Relational algebra.
His primary areas of investigation include Database, Algorithm, Query optimization, Theoretical computer science and Data mining. Many of his research projects under Database are closely connected to Tuple with Tuple, tying the diverse disciplines of science together. His work carried out in the field of Algorithm brings together such families of science as Column and Row.
His Query optimization research is multidisciplinary, incorporating perspectives in Query language, Query expansion and Distributed computing. His Theoretical computer science study combines topics in areas such as Hash function and Data structure. His research integrates issues of Set and Search engine indexing in his study of Data mining.
Vijayshankar Raman mainly focuses on Database, Column, Data mining, Object and Theoretical computer science. His work in Database addresses subjects such as Append, which are connected to disciplines such as Field. He has included themes like Sorting, Computer hardware and Key in his Column study.
As a part of the same scientific study, Vijayshankar Raman usually deals with the Data mining, concentrating on Search engine indexing and frequently concerns with Transaction processing. His Object course of study focuses on Data structure and Information retrieval, Isolation and Set. The concepts of his Theoretical computer science study are interwoven with issues in Rewriting and Aggregate.
Vijayshankar Raman mainly investigates Data mining, Database, Column, Table and Arithmetic. His Data mining study combines topics from a wide range of disciplines, such as Search engine indexing and Data science. His Database research incorporates elements of Append and Pointer.
His Column research is multidisciplinary, relying on both Database transaction, Computer hardware and Row. Vijayshankar Raman combines subjects such as Process, Key and Theoretical computer science with his study of Table. His Arithmetic study also includes fields such as
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.
Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin.
conference on innovative data systems research (2003)
Continuously adaptive continuous queries over streams
Samuel Madden;Mehul Shah;Joseph M. Hellerstein;Vijayshankar Raman.
international conference on management of data (2002)
Potter's Wheel: An Interactive Data Cleaning System
Vijayshankar Raman;Joseph M. Hellerstein.
very large data bases (2001)
Adaptive Query Processing
Amol Deshpande;Zachary Ives;Vijayshankar Raman.
Adaptive Query Processing: Technology in Evolution.
Joseph M. Hellerstein;Michael J. Franklin;Sirish Chandrasekaran;Amol Deshpande.
IEEE Data(base) Engineering Bulletin (2000)
Robust query processing through progressive optimization
Volker Markl;Vijayshankar Raman;David Simmen;Guy Lohman.
international conference on management of data (2004)
DB2 with BLU acceleration: so much more than just a column store
Vijayshankar Raman;Gopi Attaluri;Ronald Barber;Naresh Chainani.
very large data bases (2013)
Method for Compressed Data with Reduced Dictionary Sizes by Coding Value Prefixes
Pablo Diaz-Gutierrez;Vijayshankar Raman;Garret Swart.
System, method, and computer program product for progressive query processing
Guy Maring Lohman;Marki Volker;Mir Hamid Pirahesh;Vijayshankar Raman.
Using state modules for adaptive query processing
Vijayshankar Raman;A. Deshpande;J.M. Hellerstein.
international conference on data engineering (2003)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: