Dev Agrawal

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B. Harun Küçük

University of Pennsylvania

Armando Marques-Guedes

UNL - New University of Lisbon

Asher Ghertner

Rutgers, The State University of New Jersey

Daniel Hershenzon

University of Connecticut

David Gellner

University of Oxford

Noortje Marres

University of Warwick

Mikhail (Mykhailo) Minakov

Woodrow Wilson International Center for Scholars

Gabrielle Hecht

Stanford University

Ravinder Kaur

University of Copenhagen

Ranabir Chakravarti

Jawaharlal Nehru University

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Papers by Dev Agrawal

An algorithm for maximal frequent itemset mining from large databases using bit-set representation scheme

International Journal Of Data Mining And Emerging Technologies, 2011

... An algorithm for maximal frequent itemset mining from large databases using bit-set represent... more

A Pre-requisite for Sustained Economic Growth in India: Securing Property Rights through Blockchain-based Ledger Distribution Technology

National Journal of Real Estate Law, 2021

Knowledge – Miner: The Conceptual and Architectural Design of an Efficient Data Mining Tool

International Journal of Regulation and Governance, 2012

The purpose of this paper is to present the conceptual and architectural design of an efficient d... more The purpose of this paper is to present the conceptual and architectural design of an efficient data mining tool/system that supports the implementation of association rule mining algorithms. It has been observed that most of the existing knowledge discovery systems/data mining tools use fixed algorithms for mining knowledge irrespective of characteristics of the database to be mined. Literature reveals that the performance of algorithms also depend on the characteristics of the database to be mined, this has also been realised by the author during the conduction of experiments. These systems also inherit the shortcomings of the algorithms on which they are based. Moreover, such systems are not able to guide the user/decision makers (who may be the non technical person) regarding suitability of algorithms with respect to targeted database. In this research, a new mining system addressing the above issues has been developed. The system is intelligent in the sense that it can automatically select a suitable algorithm on the basis of dataset characteristics. System provides an interactive environment which is convenient, efficient, flexible, user friendly and ultimately enhances ease to its users. Furthermore, system permits the user to flexibly refine the knowledge in order to discover the interesting knowledge and enables the user to use different components independently as per the requirement. System also offers an integrated application based on real-life Mushroom database. Developed application is useful for the identification of associations that exist between the physical properties of Mushroom.

Internet-based distribution systems

Creating Intellectual Capital: A Role of Human Capital

International Journal of Knowledge Management and Practices, 2016

As more-and-more businesses are evolving with intellectual capital as their main assets generatin... more As more-and-more businesses are evolving with intellectual capital as their main assets generating value for them the world over, it has become imperative to understand what our organisations are doing to manage this. The research is largely based on primary data collected from different organisations across the country. Exhaustive literature survey was undertaken to study the present state of art related to intellectual capital creation. The objectives of the research are, to understand the constructs of intellectual capital creation and to identify important items underlying the same. Key employees leaving the organisations, thinking before taking actions, inter-group relationships, succession training programme, and preparedness for the consequences of the actions are some of the important constructs grouped as human capital are forming the important part of the intellectual capital creation.

Cluster Based Partition Approach for Mining Frequent Itemsets

Data Mining is the process of extracting interesting and previously unknown patterns and correlat... more Data Mining is the process of extracting interesting and previously unknown patterns and correlations form huge data stored in databases. Association rule mining-a descriptive mining technique of data mining, is the process of discovering items or literals which tend to occur together in transactions. As the data to be mined is large, the time taken for accessing data is considerable. This paper describes a new approach for association mining, based on Master-Slave architecture. It uses hybrid approacha combination of bottom up and top down approaches for searching frequent itemsets. The Apriori algorithm performs well only when the frequent itemsets are short. Algorithms with top down approach are suitable for long frequent itemsets. This new master slave architecture based algorithm combines both bottom-up and top-down approach. The Prime number based representation consumes less memory as each transaction is replaced with the product of the assigned prime numbers of their items. It reduces the time taken to determine the support count of the itemsets. The Prime number based representation offers the flexibility for testing the validity of metarules and provides reduction in the data complexity.

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Velocity predictions of contraswirling jets in a suddenly expanding confinement

Aiaa Journal, 1987

Coaxial swirling jet mixing is relevant to combustion processes in double concentric-type burners... more Coaxial swirling jet mixing is relevant to combustion processes in double concentric-type burners. A detailed comparison of numerical predictions with experimental results for contraswirling jets in a suddenly expanding confinement indicates that theoretical predictions for the axial component of the velocity are in closer agreement with experimental values for weak swirls. Agreement deteriorates with increasing swirl intensity. 8 references.

Improving the Performance of Association Rule Mining Algorithms by Filtering Insignificant Transactions Dynamically

Asian Journal of Information Management, 2009

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Cluster Based Partition Approach for Mining Frequent Itemsets 1

Abstract: Data Mining is the process of extracting interesting and previously unknown patterns an... more

Download

Velocity predictions of contraswirling jets in a suddenly expanding confinement

AIAA Journal, 1987

Abstract Coaxial swirling jet mixing is relevant to combustion processes in double concentric-typ... more

An algorithm for maximal frequent itemset mining from large databases using bit-set representation scheme

International Journal Of Data Mining And Emerging Technologies, 2011

... An algorithm for maximal frequent itemset mining from large databases using bit-set represent... more

A Pre-requisite for Sustained Economic Growth in India: Securing Property Rights through Blockchain-based Ledger Distribution Technology

National Journal of Real Estate Law, 2021

Knowledge – Miner: The Conceptual and Architectural Design of an Efficient Data Mining Tool

International Journal of Regulation and Governance, 2012

Internet-based distribution systems

Creating Intellectual Capital: A Role of Human Capital

International Journal of Knowledge Management and Practices, 2016

Cluster Based Partition Approach for Mining Frequent Itemsets

Download

Velocity predictions of contraswirling jets in a suddenly expanding confinement

Aiaa Journal, 1987

Improving the Performance of Association Rule Mining Algorithms by Filtering Insignificant Transactions Dynamically

Asian Journal of Information Management, 2009

Download

Cluster Based Partition Approach for Mining Frequent Itemsets 1

Abstract: Data Mining is the process of extracting interesting and previously unknown patterns an... more

Download

Velocity predictions of contraswirling jets in a suddenly expanding confinement

AIAA Journal, 1987

Abstract Coaxial swirling jet mixing is relevant to combustion processes in double concentric-typ... more

Dev Agrawal

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