Data mining, Uncertain data, Relational database, Lineage and Database are his primary areas of study. In the field of Data mining, his study on Data integration overlaps with subjects such as Noise. In his research, Information retrieval is intimately related to IDEF1X, which falls under the overarching field of Data integration.
In his research on the topic of Uncertain data, Theoretical computer science is strongly related with Probabilistic database. His study in Theoretical computer science is interdisciplinary in nature, drawing from both Directed acyclic graph and Graph. His is doing research in Data lineage, Query language and SQL, both of which are found in Database.
Anish Das Sarma spends much of his time researching Data mining, Theoretical computer science, Information retrieval, Data integration and Probabilistic logic. Uncertain data is the focus of his Data mining research. His Uncertain data study integrates concerns from other disciplines, such as Closure, Relational database, Database, Representation and Probabilistic database.
The various areas that Anish Das Sarma examines in his Theoretical computer science study include Data deduplication, Hash function, Approximation algorithm and Fuzzy logic. Anish Das Sarma interconnects Data mapping, Metadata and Data warehouse in the investigation of issues within Information retrieval. His Data integration research integrates issues from Functional dependency, Scalability, Set and Data science.
Anish Das Sarma focuses on Theoretical computer science, Algorithm, Information retrieval, Set and Data mining. His Theoretical computer science research is multidisciplinary, incorporating perspectives in Programming language, Approximation algorithm and Integer programming. His Algorithm study incorporates themes from Discrete mathematics and Joins.
His study in Information retrieval is interdisciplinary in nature, drawing from both Event, Relation and Data deduplication. His research in Set intersects with topics in Relational operator and Relational algebra. His Data mining research is multidisciplinary, incorporating elements of Tree traversal, Search engine indexing and Rendering.
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.
Detecting near-duplicates for web crawling
Gurmeet Singh Manku;Arvind Jain;Anish Das Sarma.
the web conference (2007)
ULDBs: databases with uncertainty and lineage
Omar Benjelloun;Anish Das Sarma;Alon Halevy;Jennifer Widom.
very large data bases (2006)
Working Models for Uncertain Data
A.D. Sarma;O. Benjelloun;A. Halevy;J. Widom.
international conference on data engineering (2006)
Trio: a system for data, uncertainty, and lineage
Parag Agrawal;Omar Benjelloun;Anish Das Sarma;Chris Hayworth.
very large data bases (2006)
Bootstrapping pay-as-you-go data integration systems
Anish Das Sarma;Xin Dong;Alon Halevy.
international conference on management of data (2008)
Databases with uncertainty and lineage
Omar Benjelloun;Anish Das Sarma;Alon Halevy;Martin Theobald.
very large data bases (2008)
Human-assisted graph search: it's okay to ask questions
Aditya Parameswaran;Anish Das Sarma;Hector Garcia-Molina;Neoklis Polyzotis.
very large data bases (2011)
Upper and lower bounds on the cost of a map-reduce computation
Anish Das Sarma;Foto N. Afrati;Semih Salihoglu;Jeffrey D. Ullman.
very large data bases (2013)
Finding related tables
Anish Das Sarma;Lujun Fang;Nitin Gupta;Alon Halevy.
international conference on management of data (2012)
Fusing data with correlations
Ravali Pochampally;Anish Das Sarma;Xin Luna Dong;Alexandra Meliou.
international conference on management of data (2014)
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