International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
An introduction to neural computing
An introduction to neural computing
C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Multiple view analysis of designs
ISAW '96 Joint proceedings of the second international software architecture workshop (ISAW-2) and international workshop on multiple perspectives in software development (Viewpoints '96) on SIGSOFT '96 workshops
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Relational interpretations of neighborhood operators and rough set approximation operators
Information Sciences—Informatics and Computer Science: An International Journal
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
ACM SIGKDD Explorations Newsletter
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Reduction and axiomization of covering generalized rough sets
Information Sciences: an International Journal
Modal-style operators in qualitative data analysis
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Rule-based word clustering for text classification
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Dual Clustering: Integrating Data Clustering over Optimization and Constraint Domains
IEEE Transactions on Knowledge and Data Engineering
Topological approaches to covering rough sets
Information Sciences: an International Journal
Galois Connections and Data Analysis
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
On generalizing rough set theory
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Multi-aspect data analysis in brain informatics
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Learning pattern classification-a survey
IEEE Transactions on Information Theory
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
An information granulation based data mining approach for classifying imbalanced data
Information Sciences: an International Journal
Normalized-scale Relations and Their Concept Lattices in Relational Databases
Fundamenta Informaticae
A multifaceted perspective at data analysis: a study in collaborative intelligent agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Interpreting concept learning in cognitive informatics and granular computing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
A new algebraic structure for formal concept analysis
Information Sciences: an International Journal
Granular reduction of property-oriented concept lattices
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
Towards multi-adjoint property-oriented concept lattices
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
New results on a fuzzy granular space
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Uncertainty measures for rough formulae in rough logic: An axiomatic approach
Computers & Mathematics with Applications
Multi-adjoint property-oriented and object-oriented concept lattices
Information Sciences: an International Journal
Privileged information for data clustering
Information Sciences: an International Journal
An application of the self-organizing map to multiple view unsupervised learning
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Rough Truth Degrees of Formulas and Approximate Reasoning in Rough Logic
Fundamenta Informaticae
Rough Truth Degrees of Formulas and Approximate Reasoning in Rough Logic
Fundamenta Informaticae
Normalized-scale Relations and Their Concept Lattices in Relational Databases
Fundamenta Informaticae
Relating attribute reduction in formal, object-oriented and property-oriented concept lattices
Computers & Mathematics with Applications
A completeness analysis of frequent weighted concept lattices and their algebraic properties
Data & Knowledge Engineering
Rough set model based on formal concept analysis
Information Sciences: an International Journal
Dual multi-adjoint concept lattices
Information Sciences: an International Journal
Multiple representations of web content for effective knowledge utilization
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Investigating Multi-View Differential Evolution for solving constrained engineering design problems
Expert Systems with Applications: An International Journal
Axiomatic characterizations of dual concept lattices
International Journal of Approximate Reasoning
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Iterative meta-clustering through granular hierarchy of supermarket customers and products
Information Sciences: an International Journal
Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection
International Journal of Approximate Reasoning
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Multiview intelligent data analysis explores data from different perspectives to reveal various types of structures and knowledge embedded in the data. Each view may capture a specific aspect of the data and hence satisfy the needs of a particular group of users. Collectively, multiple views provide a comprehensive description and understanding of the data. In this paper, we propose a multiview framework of intelligent data analysis based on modal-style data operators. The classes of the data operators include basic set assignment, sufficiency, dual sufficiency, necessity and possibility operators. They demonstrate various types of data relationships and characterize various features and granulated views of the data. It is shown that different structures of the data can also be constructed based on the different data operators.