Big Data Analytics on the Characteristic Equilibrium of Collective Opinions in Social Networks
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Summary
Fuzzy data mining methodologies are rigorously described for collective opinion elicitation and benchmarking in order to enhance the conventional counting and statistical methodologies for big data analytics.
- Type
- article
- Published
- 2014-07-01
- Cited by
- 26
- References
- 46
- OpenAlex
- https://openalex.org/W806991377
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:44482353
Keywords
Big data, Computer science, Data science, Computational intelligence, Collective intelligence
References
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- Software Engineering Foundations: A Software Science Perspective
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- Numerical Methods for Engineers and Scientists
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- Knowledge systems design
- Mathematical methods in artificial intelligence
- Mathematical structure of voting paradoxes
- Formal Rules for Fuzzy Causal Analyses and Fuzzy Inferences
- From information revolution to intelligence revolution: Big data science vs. intelligence science
- Towards a theory of fuzzy probability for cognitive computing
- In Search of Effective Granulization with DTRS for Ternary Classification
- Big Data Analyses for Collective Opinion Elicitation in Social Networks
- The OAR Model of Neural Informatics for Internal Knowledge Representation in the Brain
- Neuroinformatics Models of Human Memory: Mapping the Cognitive Functions of Memory onto Neurophysiological Structures of the Brain
- On Cognitive Computing
- The pathologies of big data
- The original Borda count and partial voting
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- Towards the Cognitive Informatics of Natural Language: The Case of Computational Humor
- Analyze Physical Design Process Using Big Data Tool: Hidden Patterns, Performance Measures, Predictive Analysis and Classifying Logs
- On the Mathematical Theories and Cognitive Foundations of Information
- Parallel Mining Small Patterns from Business Process Traces
- Critical analysis of Big Data challenges and analytical methods
- Parallel Distributed Patterns Mining Using Hadoop MapReduce Framework
- Big Data Management: Advanced Issues and Approaches
- A Survey on Cleaning Dirty Data Using Machine Learning Paradigm for Big Data Analytics
- What do we know about the big data researches? A systematic review from 2011 to 2017
- Big data on cloud for government agencies: benefits, challenges, and solutions
- An Ontology-Based Cognitive Model for Faults Diagnosis of Hazardous Chemical Storage Devices
- Büyük veri üzerine perspektif bir bakış
- A Systematic Review for the Challenges Related to the Implementation of Building Information Modelling, Big Data Analytics and Internet of Things (BBI) in the Construction Sector
- Parallel and Distributed Pattern Mining
- A review of drought monitoring with big data: Issues, methods, challenges and research directions
- Fifty-Six Big Data V’s Characteristics and Proposed Strategies to Overcome Security and Privacy Challenges (BD2)
- The Manufacturing Industry and the Big Data Challenges: The case-study of the Global Tech Company
- A framework for decision makers to design a business analytics platform for distributed organizations
- Analysis of barriers intensity for investment in big data analytics for sustainable manufacturing operations in post-COVID-19 pandemic era
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