Information Content of Big Data

Abstract

Every day, an enormous volume of data is generated at an unprecedented rate and modern decision-making feels like swimming in a sea of sensors and drowning in data. One of the primary challenges in current data science research is to identify the most valuable information from a large data set. To this end we have investigated the applications of submodular maximization in fairness, privacy, recommender systems, and time series.

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Document Details

Document Type
Technical Report
Publication Date
Jun 21, 2021
Accession Number
AD1140364

Entities

People

  • Amin Karbasi

Organizations

  • Yale University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Commerce
  • Computational Science
  • Computer Science
  • Computers
  • Data Mining
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Mathematical Programming
  • Network Science
  • Neural Networks
  • Optimization
  • Signal Processing
  • Systems Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Business Analytics
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy