Search Results for author: Pankaj Singh

Found 7 papers, 1 papers with code

RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework (Extended Version)

no code implementations22 Oct 2021 Pankaj Singh, Sudhakar Singh, P K Mishra, Rakhi Garg

Recently, a number of FIM algorithms have been designed on Hadoop MapReduce, a distributed big data processing framework.

RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework

no code implementations13 Dec 2019 Pankaj Singh, Sudhakar Singh, P. K. Mishra, Rakhi Garg

Initially, a number of frequent itemset mining (FIM) algorithms have been designed on the Hadoop MapReduce, a distributed big data processing framework.

Mining Association Rules in Various Computing Environments: A Survey

no code implementations30 Jun 2019 Sudhakar Singh, Pankaj Singh, Rakhi Garg, P. K. Mishra

The considered computing environments are sequential computing, parallel and distributed computing, grid computing and cloud computing.

Cloud Computing Distributed Computing

Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks

no code implementations28 May 2018 Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor, Narasimha Raju, Suyash Shetty, Pankaj Singh, Rishabh Iyer, Ganesh Ramakrishnan

Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry and pose the challenges of not having adequate computing resources and of high costs involved in human labeling efforts.

Active Learning BIG-bench Machine Learning +4

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