Tomasz Imielinski mainly focuses on Computer network, Database, Distributed computing, Data mining and Communication channel. His work on Wireless sensor network as part of his general Computer network study is frequently connected to Access time, Energy consumption and Battery, thereby bridging the divide between different branches of science. Tomasz Imielinski combines subjects such as Decision tree, Association rule learning, Decision theory and FSA-Red Algorithm with his study of Database.
He does research in Association rule learning, focusing on Affinity analysis specifically. His Distributed computing study integrates concerns from other disciplines, such as Routing, Data management, Database index, Cluster analysis and Geocast. In general Data mining study, his work on Very large database and GSP Algorithm often relates to the realm of Population Database, thereby connecting several areas of interest.
His main research concerns Computer network, Database, Distributed computing, Theoretical computer science and Wireless. His work on Server is typically connected to Access time as part of general Computer network study, connecting several disciplines of science. His Database research incorporates themes from Association rule learning and Data mining.
His Distributed computing research includes themes of Scheme, Routing, Mobile computing and Network packet. His Theoretical computer science research includes elements of Discrete mathematics, Relational database, Set and Circumscription. His Wireless research is multidisciplinary, incorporating perspectives in Field and Data management.
Tomasz Imielinski mainly investigates Computer network, Portfolio, Wireless, Wireless sensor network and Equity. His Computer network study combines topics in areas such as Dissemination and Flow network. His research in Portfolio tackles topics such as Cluster analysis which are related to areas like Pairwise comparison, Hedge and Correlation.
Tomasz Imielinski integrates many fields, such as Wireless and Graffiti, in his works. His Distributed computing research extends to Wireless sensor network, which is thematically connected. His Distributed computing research includes themes of Latency and Network packet.
Tomasz Imielinski mainly investigates Dissemination, Traffic congestion, Computer network, Flow network and Software deployment. The Dissemination study combines topics in areas such as Cover, Scalability, Vehicle-to-vehicle and Vehicular ad hoc network. His Traffic congestion study spans across into fields like Information Dissemination, Wireless ad hoc network, Wireless lan, Computer security and Network traffic control.
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Mining association rules between sets of items in large databases
Rakesh Agrawal;Tomasz Imieliński;Arun Swami.
international conference on management of data (1993)
Mining association rules between sets of items in large databases
Rakesh Agrawal;Tomasz Imieliński;Arun Swami.
international conference on management of data (1993)
Database mining: a performance perspective
R. Agrawal;T. Imielinski;A. Swami.
IEEE Transactions on Knowledge and Data Engineering (1993)
Database mining: a performance perspective
R. Agrawal;T. Imielinski;A. Swami.
IEEE Transactions on Knowledge and Data Engineering (1993)
Incomplete Information in Relational Databases
Tomasz Imieliński;Witold Lipski.
Journal of the ACM (1984)
Incomplete Information in Relational Databases
Tomasz Imieliński;Witold Lipski.
Journal of the ACM (1984)
Mobile wireless computing: challenges in data management
Tomasz Imielinski;B. R. Badrinath.
Communications of The ACM (1994)
Mobile wireless computing: challenges in data management
Tomasz Imielinski;B. R. Badrinath.
Communications of The ACM (1994)
Data on air: organization and access
T. Imielinski;S. Viswanathan;B.R. Badrinath.
IEEE Transactions on Knowledge and Data Engineering (1997)
Data on air: organization and access
T. Imielinski;S. Viswanathan;B.R. Badrinath.
IEEE Transactions on Knowledge and Data Engineering (1997)
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