Browsing Faculty Contributions by Subject "big data"
Now showing items 1-6 of 6
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A cognitive analytics management framework (CAM-Part 2): Societal needs, shared-value models, performance indicators, big data, business analytics models and tools
( IGI Global , 2013 , Book chapter)In Chapter 1, The CAM framework focused on the development of innovative social business models through the usage of frontier data envelopment analysis to measure shared value for a sustainable growth of an organization. ... -
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
( IEEE Computer Society , 2017 , Article)With the emergence of the big data age, the issue of how to obtain valuable knowledge from a dataset efficiently and accurately has attracted increasingly attention from both academia and industry. This paper presents a ... -
A survey of clustering algorithms for big data: Taxonomy and empirical analysis
( IEEE Computer Society , 2014 , Article)Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main goal is to categorize data into ... -
An optimizing and differentially private clustering algorithm for mixed data in SDN-based smart grid
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Software-defined network (SDN) is widely used in smart grid for monitoring and managing the communication network. Big data analytics for SDN-based smart grid has got increasing attention. It is a promising approach to use ... -
Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Within the paradigm of smart cities, smart devices can be considered as a tool to enhance safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge computing, and artificial intelligence are ... -
Optimizing Clinical Workflow Using Precision Medicine and Advanced Data Analytics
( MDPI , 2023 , Article)Precision medicine—of which precision prescribing is a core component—is becoming a new frontier in today’s healthcare. Both artificial intelligence (AI) and machine learning (ML) have the potential to enhance our understanding ...