Proceedings of the International Workshop ” What can FCA do for Artificial Intelligence ? ” ( FCA 4 AI 2014 )
نویسندگان
چکیده
ion, taxonomies, connectivity : from AI to FCA and back
منابع مشابه
International Workshop ” What can FCA do for Artificial Intelligence ? ” ( FCA 4 AI at IJCAI 2013 , Beijing , China , August 4 2013 )
In this paper, we are interested in the analysis of sequential data and we propose an original framework based on Formal Concept Analysis (FCA). For that, we introduce sequential pattern structures, an original specification of pattern structures for dealing with sequential data. Pattern structures are used in FCA for dealing with complex data such as intervals or graphs. Here they are adapted ...
متن کامل“ What can FCA do for Artificial Intelligence ? ” FCA 4 AI
Preface Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. FCA allows one to build a concept lattice and a system of dependencies (implications) which can be used for many AI needs, e.g. knowledge processing involving learning, knowledge discovery, knowledge representation and reasoning, ontology engineering, as well as information r...
متن کاملExploring the Applicability of Formal Concept Analysis on Market Intelligence Data
This paper examines and identifies issues associated with the applicability of FCA on sample data provided by a CUBIST use-case partner. The paper explains the various steps related to the transformation of these data to formal contexts, such as preprocessing, cleansing and simplification, as well as preprocessing and limitation issues, by using two FCA tools currently being developed in CUBIST...
متن کاملAbstraction, taxonomies, connectivity : from AI to FCA and back
ion, taxonomies, connectivity : from AI to FCA and back
متن کاملConferences Abduction and Induction in AI : Report of the IJCAI ’ 97 Workshop
• What (if anything) distinguishes/characterizes each form of reasoning and their corresponding computational models? • How can we characterize different prototypical AI tasks for which it is appropriate to use one of these two forms of reasoning? • How can Abduction and Induction be integrated in the context of Artificial Intelligence problems? For example, – How do we learn abductive theories...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015