2017 - Fellow of Alfred P. Sloan Foundation
Tim Kraska mainly focuses on Scalability, Artificial intelligence, Information retrieval, Benchmark and Machine learning. His research integrates issues of Cloud computing, Distributed computing, Semantic analytics and Big data in his study of Scalability. His Artificial intelligence study combines topics in areas such as Liveness and CUDA.
In his study, which falls under the umbrella issue of Information retrieval, Spatial query, Online aggregation, View, Set and Data integration is strongly linked to Crowdsourcing. His Benchmark research incorporates elements of Data model and Aggregate. The various areas that he examines in his Machine learning study include Sorted array, Key, Data management and Implementation.
His primary areas of study are Artificial intelligence, Machine learning, Data mining, Benchmark and Database. The concepts of his Artificial intelligence study are interwoven with issues in Column and Query optimization. Tim Kraska has included themes like Variety, Set, Data management and Implementation in his Machine learning study.
His studies examine the connections between Data mining and genetics, as well as such issues in Key, with regards to Index and Data exploration. His Database study frequently links to other fields, such as Cloud computing. The Cloud computing study combines topics in areas such as Scalability, Analytics and World Wide Web.
Tim Kraska spends much of his time researching Artificial intelligence, Machine learning, Benchmark, Data mining and Data management. His Artificial intelligence research focuses on subjects like Computer vision, which are linked to Global Positioning System and Process. His work deals with themes such as Relational database and Query optimization, which intersect with Machine learning.
His studies in Benchmark integrate themes in fields like Data exploration and Data set. His Data management study combines topics from a wide range of disciplines, such as Memory footprint and Data science. As a part of the same scientific study, Tim Kraska usually deals with the Data science, concentrating on Data visualization and frequently concerns with Analytics and Big data.
Tim Kraska focuses on Artificial intelligence, Machine learning, Benchmark, Key and Single pass. His research on Artificial intelligence frequently connects to adjacent areas such as Computer vision. His biological study spans a wide range of topics, including Cardinality, Relational database and Query optimization.
His Benchmark study frequently draws connections between related disciplines such as Implementation. His research in Key intersects with topics in Baseline, Real-time computing, Search engine indexing and Index. His work carried out in the field of Search engine indexing brings together such families of science as Computer data storage, Block, Field and Dimension.
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CrowdDB: answering queries with crowdsourcing
Michael J. Franklin;Donald Kossmann;Tim Kraska;Sukriti Ramesh.
international conference on management of data (2011)
CrowdER: crowdsourcing entity resolution
Jiannan Wang;Tim Kraska;Michael J. Franklin;Jianhua Feng.
very large data bases (2012)
The Case for Learned Index Structures
Tim Kraska;Alex Beutel;Ed H. Chi;Jeffrey Dean.
international conference on management of data (2018)
Building a database on S3
Matthias Brantner;Daniela Florescu;David Graf;Donald Kossmann.
international conference on management of data (2008)
MLbase: A Distributed Machine-learning System
Tim Kraska;Ameet Talwalkar;John C. Duchi;Rean Griffith.
conference on innovative data systems research (2013)
An evaluation of alternative architectures for transaction processing in the cloud
Donald Kossmann;Tim Kraska;Simon Loesing.
international conference on management of data (2010)
Consistency rationing in the cloud: pay only when it matters
Tim Kraska;Martin Hentschel;Gustavo Alonso;Donald Kossmann.
very large data bases (2009)
MDCC: multi-data center consistency
Tim Kraska;Gene Pang;Michael J. Franklin;Samuel Madden.
european conference on computer systems (2013)
How is the weather tomorrow?: towards a benchmark for the cloud
Carsten Binnig;Donald Kossmann;Tim Kraska;Simon Loesing.
international workshop on testing database systems (2009)
Leveraging transitive relations for crowdsourced joins
Jiannan Wang;Guoliang Li;Tim Kraska;Michael J. Franklin.
international conference on management of data (2013)
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