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Now showing items 351-355 of 355
A PARALLEL IMPLEMENTATION OF APRIORI ALGORITHM FOR MINING FREQUENT ITEMSETS IN HADOOP MAPREDUCE FRAMEWORK
With explosive growth of data in past few years, discovering previously unknown, frequent patterns within the huge transactional data sets has been one of the most challenging and ventured fields in data mining. Apriori ...
A DEEP LEARNING BASED PIPELINE FOR METASTATIC BREAST CANCER CLASSIFICATION FROM WHOLE SLIDE IMAGES (WSI)
Pathology is a 150-year-old medical specialty that has seen a paradigm shift over the past few years with the advent of Digital Pathology. Digital Pathology is a very promising approach to diagnostic medicine to accomplish ...
Crowdsourcing for Decision Making with Analytic Hierarchy Process
Analytic Hierarchy Process (AHP) is a Multiple-Criteria Decision-Making MCDM) technique devised by Thomas L. Saaty. In AHP, all the pairwise comparisons between criteria and alternatives in terms of each criterion are used ...
A Probabilistic Approach to Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons
This is an extended study on crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons. The prior study on the same topic demonstrate the framework and algorithms used to determine all the Pareto-Optimal objects ...
Enhancing Health Tweet Classification: An evaluation of Transformer-based models for Comprehensive Analysis
(2023-05-10)
The task of health tweet classification entails identifying whether a given tweet is health-related or not. While existing research in this area has made significant progress in classifying tweets into specific sub-domains ...