Namit Jain

What is he best known for?

The fields of study he is best known for:

• Operating system
• Database
• Programming language

His main research concerns Data stream management system, Class, Operator, Theoretical computer science and Data mining. His Class research incorporates elements of Object, Object based and Data type. His Operator research is multidisciplinary, incorporating elements of Distributed computing, State, Dependency, Relation and Computation.

The Distributed computing study combines topics in areas such as Process, Execution plan and State information. His research integrates issues of Consistency, Reflection and Relational database in his study of Theoretical computer science. His study in the field of Data stream mining also crosses realms of Matching and Abstraction.

His most cited work include:

• Providing a consistent hierarchical abstraction of relational data (187 citations)
• Systems and methods for sharing of execution plans for similar database statements (140 citations)
• Adding new continuous queries to a data stream management system operating on existing queries (102 citations)

What are the main themes of his work throughout his whole career to date?

Namit Jain spends much of his time researching Database, Computer network, Set, Data stream management system and Database server. Within one scientific family, Namit Jain focuses on topics pertaining to Event under Computer network, and may sometimes address concerns connected to Protocol, Interoperability and Node. Namit Jain combines subjects such as Data stream mining, Data stream processing and Configuration information with his study of Set.

His Data stream management system study integrates concerns from other disciplines, such as Process, Theoretical computer science and Operator. His Database server research includes themes of Application server, Remote Database Access, Complex event processing and Java, Database connectivity. Namit Jain has included themes like Shared memory and Queue management system in his Message broker study.

He most often published in these fields:

• Database (57.89%)
• Computer network (19.30%)
• Set (15.79%)

What were the highlights of his more recent work (between 2008-2011)?

• Database (57.89%)
• Data stream mining (8.77%)
• Set (15.79%)

In recent papers he was focusing on the following fields of study:

Namit Jain mainly focuses on Database, Data stream mining, Set, Data mining and Regular expression. His study in Database is interdisciplinary in nature, drawing from both Application server and Complex event processing. His studies deal with areas such as Real-time computing, Event stream, Event based and Event data as well as Complex event processing.

His Set research is multidisciplinary, relying on both Java, Database connectivity, Configuration information and Data stream processing. His Data mining study combines topics in areas such as Pattern recognition and Artificial intelligence, Pattern matching. The study incorporates disciplines such as Class and Class in addition to Regular expression.

Between 2008 and 2011, his most popular works were:

• Standardized database connectivity support for an event processing server (78 citations)
• Framework for dynamically generating tuple and page classes (73 citations)
• Techniques for matching a certain class of regular expression-based patterns in data streams (73 citations)

In his most recent research, the most cited papers focused on:

• Operating system
• Database
• Programming language

His scientific interests lie mostly in Class, Data stream mining, Regular expression, Matching and Pattern matching. The various areas that he examines in his Class study include Object, Object based and Data type. Data stream mining is a subfield of Data mining that Namit Jain investigates.