2012 - ACM Fellow For contributions to the analysis and management of large data sets.
His primary scientific interests are in Data mining, Computer network, Distributed computing, Database and Cluster analysis. His work on Data stream mining as part of general Data mining study is frequently linked to Space, bridging the gap between disciplines. His Computer network research includes elements of Tree, Algorithm, Real-time computing and Internet protocol suite.
His Database study combines topics in areas such as File server and Outlier. Rajeev Rastogi has researched Cluster analysis in several fields, including Similarity measure and Pattern recognition. His k-medians clustering research incorporates elements of Data stream clustering, Categorical variable and Single-linkage clustering.
The scientist’s investigation covers issues in Computer network, Data mining, Distributed computing, Database and Theoretical computer science. His studies deal with areas such as Real-time computing and Mesh networking as well as Computer network. While the research belongs to areas of Data mining, Rajeev Rastogi spends his time largely on the problem of Artificial intelligence, intersecting his research to questions surrounding Product.
His Distributed computing research focuses on subjects like Serializability, which are linked to Two-phase locking and Global serializability. His biological study spans a wide range of topics, including Cluster analysis and Concurrency. In Theoretical computer science, Rajeev Rastogi works on issues like Data stream mining, which are connected to Data stream.
His primary areas of investigation include Data mining, Artificial intelligence, Information retrieval, Computer network and Machine learning. His Data mining study incorporates themes from Value, Structure, Theoretical computer science and Benchmark. His Artificial intelligence study integrates concerns from other disciplines, such as Scheme, Logistic regression and Pattern recognition.
Rajeev Rastogi combines subjects such as Web page, Set, Printer-friendly, Cluster analysis and URL normalization with his study of Information retrieval. His work investigates the relationship between Cluster analysis and topics such as Vertex that intersect with problems in Database and The Internet. The Computer network study combines topics in areas such as Distributed computing, Greedy algorithm and Mesh networking.
His scientific interests lie mostly in Computer network, Data mining, Information retrieval, Theoretical computer science and Web page. The Network topology research Rajeev Rastogi does as part of his general Computer network study is frequently linked to other disciplines of science, such as Directional antenna, therefore creating a link between diverse domains of science. His work deals with themes such as Field and Presentation, which intersect with Data mining.
He interconnects Static web page, Semantic URL, URL normalization, Printer-friendly and World Wide Web in the investigation of issues within Information retrieval. His research in Theoretical computer science intersects with topics in Quartic graph, Social network, Heuristics, Graph and Null graph. His research investigates the connection between Web page and topics such as Information extraction that intersect with problems in Matching, Data model and Value.
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Cure: an efficient clustering algorithm for large databases
Sudipto Guha;Rajeev Rastogi;Kyuseok Shim.
Information Systems (2001)
ROCK: a robust clustering algorithm for categorical attributes
Sudipto Guha;Rajeev Rastogi;Kyuseok Shim.
international conference on data engineering (1999)
Efficient algorithms for mining outliers from large data sets
Sridhar Ramaswamy;Rajeev Rastogi;Kyuseok Shim.
international conference on management of data (2000)
Approximate Query Processing Using Wavelets
Kaushik Chakrabarti;Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim.
very large data bases (2001)
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim.
very large data bases (1999)
Efficient filtering of XML documents with XPath expressions
Chee-Yong Chan;P. Felber;M. Garofalakis;R. Rastogi.
international conference on data engineering (2002)
Processing complex aggregate queries over data streams
Alin Dobra;Minos Garofalakis;Johannes Gehrke;Rajeev Rastogi.
international conference on management of data (2002)
A cost-based model and effective heuristic for repairing constraints by value modification
Philip Bohannon;Wenfei Fan;Michael Flaster;Rajeev Rastogi.
international conference on management of data (2005)
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Rajeev Rastogi;Kyuseok Shim.
very large data bases (1998)
Querying and mining data streams: you only get one look a tutorial
Minos Garofalakis;Johannes Gehrke;Rajeev Rastogi.
international conference on management of data (2002)
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