Notes:
Data refers to any set of information that can be processed by a computer. This can include numbers, text, images, audio, and video, among other types of information. Big data refers to data sets that are so large and complex that they cannot be processed using traditional data processing tools and techniques. Big data sets often come from sources such as social media, internet of things (IoT) devices, and online transactions, and they can be used to gain insights and make informed decisions.
To work with big data, specialized tools and technologies are often used, such as distributed computing systems, data lakes, and data visualization software. These tools and technologies allow businesses and organizations to store, process, and analyze large volumes of data quickly and efficiently. By analyzing big data, organizations can gain insights that can help them make better decisions, improve operations, and gain a competitive edge.
Wikipedia:
References:
- Cognitive Computing and Big Data Analytics (2015)
- Conversational Informatics: A Data-Intensive Approach with Emphasis on Nonverbal Communication (2014)
- Advances in Knowledge Discovery and Data Mining: Part 1 (2011)
- Advances in Knowledge Discovery and Data Mining: Part 2 (2011)
- Social Network Data Analytics (2011)
See also:
100 Best Artificial Intelligence Data Videos | 100 Best Data Extractor Videos | 100 Best Data Pipeline Videos | 100 Best Data Scraping Videos | Data Analytics & Natural Language Generation | Data Interpretation & Natural Language Generation | Data-to-Text Systems | Linguistic Data Consortium & Dialog Systems | SQuAD (Stanford Question Answering Dataset) | Streaming Data & Dialog Systems
- Data Processing
- Automated Reasoning
- Automated Reasoning & Question Answering
- Automated Theorem Proving (Automated Deduction)
- Deep Inference
- FrameNet
- Grammatical Inference Systems
- Hontology (Hotel Ontology)
- Inference Engines
- Jadex Framework
- JSON & Rule Engines
- Mind Map Generation
- ODP (Ontology Design Patterns)
- OntoBroker
- OntoBuilder
- Ontology Verbalization
- OpenRules
- Semantic Web Reasoning
- SILK (Semantic Inferencing on Large Knowledge)
- TopBraid Composer
- Automatic Summarization
- Abstractive Summarization
- Automatic Summarization
- Dialog Summarizer
- Extractive Summarization
- Intellexer
- Neural Summarization
- Rhetorical Structure Tree
- ROUGE (Recall-Oriented Understudy for Gisting Evaluation)
- Sentence Summarization
- Summarization Systems (Summarisation Systems)
- Text Graphs & Natural Language
- Text Summarization
- Computational Metaphorics
- ACD (Associative Concept Dictionary)
- Analogy & Metaphor
- ATT-Meta Project (Metaphor, Metonymy and Mental States)
- CorMet (Metaphor Extraction System)
- Master Metaphor List
- Metaphor & Cognition
- Metaphor Analysis & Natural Language Processing
- Metaphor Extraction
- Metaphor Generation
- Metaphor Identification & Natural Language
- Metaphor Network
- Metaphor Program
- Metaphor-based Reasoning
- ZMET (Zaltman Metaphor Elicitation Technique)
- Extract Transform Load
- Formal Grammar
- Normalization
- Predictive Analytics
- Semantics
- Text-to-Image Systems
- Automated Reasoning
- Data Sources
- Data Storage
- Data Visualization