Journal ArticleDOI
Formal Concept Analysis
Reads0
Chats0
TLDR
FCA explicitly formalises extension and intension of a concept, their mutual relationships, and the fact that increasing intent implies decreasing extent and vice versa, and allows to derive a concept hierarchy from a given dataset.About:
This article is published in Electronic Notes in Discrete Mathematics.The article was published on 2013-05-18. It has received 2029 citations till now. The article focuses on the topics: Formal concept analysis & Lattice Miner.read more
Citations
More filters
Journal ArticleDOI
Ontology mapping: the state of the art
TL;DR: Ontology mapping is seen as a solution provider in today's landscape of ontology research as mentioned in this paper and provides a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners.
Journal ArticleDOI
How Learning in an Inverted Classroom Influences Cooperation, Innovation and Task Orientation.
TL;DR: The authors compared the learning environments of an inverted introductory statistics class with a traditional introductory statistics course at the same university and found that students in the inverted classroom were less satisfied with how the classroom structure oriented them to the learning tasks in the course, but they became more open to cooperative learning and innovative teaching methods.
Journal ArticleDOI
Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering
TL;DR: This survey tries to clarify the different problem definitions related to subspace clustering in general; the specific difficulties encountered in this field of research; the varying assumptions, heuristics, and intuitions forming the basis of different approaches; and how several prominent solutions tackle different problems.
Proceedings Article
Ontology Mapping: The State of the Art
TL;DR: This article comprehensively reviews and provides insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapped.
Journal ArticleDOI
Challenges of Big Data Analysis
Jianqing Fan,Fang Han,Han Liu +2 more
TL;DR: In this article, the authors provide an overview of the salient features of Big Data and how these features impact on paradigm change on statistical and computational methods as well as computing architectures, and provide various new perspectives on the Big Data analysis and computation.
References
More filters
Proceedings ArticleDOI
Mining association rules between sets of items in large databases
TL;DR: An efficient algorithm is presented that generates all significant association rules between items in the database of customer transactions and incorporates buffer management and novel estimation and pruning techniques.
Book
Formal Concept Analysis: Mathematical Foundations
TL;DR: This is the first textbook on formal concept analysis that gives a systematic presentation of the mathematical foundations and their relation to applications in computer science, especially in data analysis and knowledge processing.
Book
Collected Papers of Charles Sanders Peirce
Charles Hartshorne,Paul Weiss +1 more
TL;DR: The authors published an eight-volume collection of Peirce's writings on general philosophy, logic, pragmatism, metaphysics, experimental science, scientific method and philosophy of mind, as well as reviews and correspondence.
Book
Conceptual Structures: Information Processing in Mind and Machine
TL;DR: This book will not become a unity of the way for you to get amazing benefits at all, but, it will serve something that will let you get the best time and moment to spend for reading the book.
Book ChapterDOI
Restructuring lattice theory: an approach based on hierarchies of concepts
TL;DR: Restructuring lattice theory is an attempt to reinvigorate connections with the authors' general culture by interpreting the theory as concretely as possible, and in this way to promote better communication between lattice theorists and potential users of lattices theory.