What is he best known for?
The fields of study he is best known for:
- Database
- Operating system
- Computer network
His primary areas of investigation include Data stream mining, Database, Data stream management system, Data mining and Data stream.
The study incorporates disciplines such as Workload, Distributed computing and Out-of-order execution in addition to Data stream mining.
His Database study frequently draws connections to adjacent fields such as Data reduction.
He has included themes like Traffic analysis, Router, Query language, Intrusion detection system and Debugging in his Data stream management system study.
The Aggregate research Theodore Johnson does as part of his general Data mining study is frequently linked to other disciplines of science, such as Variable and attribute, therefore creating a link between diverse domains of science.
The concepts of his Data stream study are interwoven with issues in Consistency, Temporal database, Key and Terabyte.
His most cited work include:
- Gigascope: a stream database for network applications (740 citations)
- 2Q: A Low Overhead High Performance Buffer Management Replacement Algorithm (577 citations)
- The New Jersey Data Reduction Report. (243 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Database, Data mining, Data warehouse, Data stream and Data stream mining.
By researching both Database and Data quality, Theodore Johnson produces research that crosses academic boundaries.
His Data mining research is multidisciplinary, relying on both Key, Set and Data set.
Theodore Johnson specializes in Data stream, namely Data stream management system.
His study in Data stream management system is interdisciplinary in nature, drawing from both Scalability, Theoretical computer science, Network monitoring, Query language and Intrusion detection system.
The various areas that he examines in his Data stream mining study include Distributed computing and Materialized view.
He most often published in these fields:
- Database (29.52%)
- Data mining (22.86%)
- Data warehouse (22.86%)
What were the highlights of his more recent work (between 2014-2018)?
- Graph database (5.71%)
- Computer network (9.52%)
- Operator (4.76%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Graph database, Computer network, Operator, Real-time computing and Data stream.
Theodore Johnson focuses mostly in the field of Graph database, narrowing it down to matters related to Theoretical computer science and, in some cases, Set.
In his research, Network element, Network service, Software-defined networking, Network simulation and Network architecture is intimately related to Virtual machine, which falls under the overarching field of Computer network.
His Data stream research includes elements of Process, Data stream mining, Analytics and Network monitoring.
Theodore Johnson has researched Data stream mining in several fields, including Network performance, Debugging, Distributed computing and Network interface controller.
His work deals with themes such as Stream management, Data reduction, Emerging technologies and Database, which intersect with Data science.
Between 2014 and 2018, his most popular works were:
- Data Stream Warehousing In Tidalrace. (17 citations)
- Exploring change: a new dimension of data analytics (12 citations)
- Systems and methods for modeling networks (5 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- Computer network
Theodore Johnson mainly investigates Data science, Computer network, Graph database, Data records and Real-time computing.
His work carried out in the field of Data science brings together such families of science as Metadata, Data management, Row, Dynamic data and Data analysis.
His Computer network research incorporates themes from Graph based, Enhanced Data Rates for GSM Evolution and Data structure.
His research integrates issues of Network simulation, Cloud computing, Server and Query optimization in his study of Graph database.
Data records is intertwined with Shard, Operator, Replica and Failure management in his research.
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