Applied Mathematical Modelling invites submissions of original contributions to machine learning research for Big Data Analytics for Optimization of Manufacturing and Logistics Processes.
… In this paper, we introduce a framework of ML on big data (MLBiD) to guide the discussion of its opportunities and challenges.
View Data Analytics for Data Science, Big Data & Machine Learning Research Papers on Academia.edu for free. Rather than a two-step process of first estimating a demand distribution then optimizing for the optimal order quantity, we propose solving the "Big Data" newsvendor problem via single step machine learning algorithms. Big data analytics is the process of collecting and analyzing the large volume of data sets (called Big Data) to discover useful hidden patterns and other information like customer choices, market trends that can help organizations make more informed and customer-oriented business decisions. Realizing the benefits that can flow […] Keywords: machine learning, artificial intelligence, deep learning, computation, learning methods 1. View Data Analytics for Data Science, Big Data & Machine Learning Research Papers on Academia.edu for free. It defines big data, AI and machine learning, and identifies the particular characteristics that differentiate them from more traditional forms of data processing. The most of the submissions should be of Application Note or Original Research paper type. In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the past month. Special Issue on Machine Learning for Big Data Analytics in Manufacturing and Logistics Processes.
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities Abstract: With big data growth in biomedical and healthcare communities, accurate analysis of medical data benefits early disease detection, patient care, and community services. The research in this field is developing very quickly and to help our readers monitor the progress we present the list of most important recent scientific papers published since 2014. We understand that busy big data professionals can’t check the site everyday. We’re happy to oblige! The special issue will attract high-quality submissions from world-wide researchers in the areas of knowledge engineering, data management, data mining, data science, machine learning, and natural language processing to utilize their expertise to develop more effective and efficient models, methods, and practical tools on big knowledge graph data.
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