Machine Learning and Data Analysis Using Posets: A Survey
–arXiv.org Artificial Intelligence
Posets are discrete mathematical structures which are ubiquitous in a broad range of data analysis and machine learning applications. Research connecting posets to the data science domain has been ongoing for many years. In this paper, a comprehensive review of a wide range of studies on data analysis and machine learning using posets are examined in terms of their theory, algorithms and applications. In addition, the applied lattice theory domain of formal concept analysis will also be highlighted in terms of its machine learning applications.
arXiv.org Artificial Intelligence
May-26-2024
- Country:
- Asia
- Europe
- Poland > Masovia Province
- Warsaw (0.04)
- Ireland > Leinster
- County Dublin > Dublin (0.04)
- France > Auvergne-Rhône-Alpes
- Netherlands > South Holland
- Dordrecht (0.04)
- Italy
- United Kingdom > England
- Greater London > London (0.04)
- Germany
- Berlin (0.04)
- Brandenburg > Potsdam (0.04)
- Hamburg (0.04)
- Switzerland > Zürich
- Zürich (0.04)
- Russia > Central Federal District
- Moscow Oblast > Moscow (0.04)
- Poland > Masovia Province
- North America
- Canada
- British Columbia > Metro Vancouver Regional District
- Vancouver (0.04)
- Ontario (0.04)
- Quebec > Montreal (0.04)
- British Columbia > Metro Vancouver Regional District
- United States
- New York > New York County
- New York City (0.04)
- California
- San Mateo County > San Mateo (0.04)
- Santa Clara County > Palo Alto (0.04)
- Vermont > Chittenden County
- Burlington (0.04)
- Michigan > Wayne County
- Detroit (0.04)
- New Mexico > Bernalillo County
- Albuquerque (0.04)
- Hawaii > Honolulu County
- Honolulu (0.04)
- Massachusetts > Suffolk County
- Boston (0.04)
- Maryland > Baltimore (0.04)
- Nebraska > Lancaster County
- Lincoln (0.04)
- New York > New York County
- Canada
- Oceania > Australia
- New South Wales
- Sydney (0.04)
- Wollongong (0.04)
- New South Wales
- South America
- Argentina (0.04)
- Brazil > Rio de Janeiro
- Rio de Janeiro (0.04)
- Genre:
- Overview (1.00)
- Research Report (1.00)
- Industry:
- Education (0.92)
- Energy (0.67)
- Government
- Immigration & Customs (0.67)
- Regional Government (1.00)
- Health & Medicine
- Pharmaceuticals & Biotechnology (0.67)
- Therapeutic Area
- Neurology (1.00)
- Psychiatry/Psychology (0.67)
- Information Technology (0.67)
- Law (0.67)
- Law Enforcement & Public Safety > Crime Prevention & Enforcement (1.00)
- Leisure & Entertainment > Sports (0.67)
- Technology: