Big data
Extremely large or complex datasets
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📌 Topics
- Machine Learning (1)
- Data Architecture (1)
- Technology Research (1)
- Data Science (1)
- Scientific Methodology (1)
- Information Theory (1)
🏷️ Keywords
Big Data (2) · arXiv (2) · LakeMLB (1) · Data Lake (1) · Machine Learning (1) · Benchmarking (1) · Data Analytics (1) · Statistical Inference (1) · Automated Science (1) · Data Analysis (1) · Scientific Bias (1) · Observational Data (1)
📖 Key Information
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate.
Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source.
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🔗 Entity Intersection Graph
People and organizations frequently mentioned alongside Big data:
- 🌐 Data analysis (1 shared articles)
- 🌐 Statistical inference (1 shared articles)
- 🌐 Machine learning (1 shared articles)
- 🌐 Benchmarking (1 shared articles)