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Everything about Unstructured data
Information without a formal data model
Unstructured data is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well. This results in irregularities and ambiguities that make it difficult to understand using traditional programs as compared to data stored in fielded form in databases or annotated in documents. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Unstructured dataA 5-minute orientation
- Skim a recent paper: A Survey on Differential Privacy for Unstructured Data ContentInfluential work since 2022
- Pick up a classic book: Large-scale parallel unstructured mesh computations for 3D high-lift analysisThe most-reprinted book on the subject
- Read the landmark paper: Organizing and Interpreting Unstructured Qualitative DataCited 303 times
- Go sideways: List of text mining softwareA closely related topic
- Go sideways: Information extractionA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Organizing and Interpreting Unstructured Qualitative Data
Unstructured data in marketing
Managing Unstructured Big Data in Healthcare System
Unstructured Data: an overview of the data of Big Data
Information extraction challenges in managing unstructured data
From unstructured data to actionable intelligence
Data mining of unstructured big data in cloud computing
Exsense: Extract sensitive information from unstructured data
🆕 Influential since 2022
A Survey on Differential Privacy for Unstructured Data Content
The GDPR and unstructured data: is anonymization possible?
Graph integration of structured, semistructured and unstructured data for data journalism
Unstructured data research in business: Toward a structured approach
Selective prediction for extracting unstructured clinical data
📚 Books worth reading
- 📕Large-scale parallel unstructured mesh computations for 3D high-lift analysisDimitri Mavriplis · 1999
- 📕Out-of-core streamline visualization on large unstructured meshesShyh-Kuang Ueng · 1997
- 📕Large-scale parallel viscous flow computations using an unstructured multigrid algorithmDimitri Mavriplis · 1999
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- List of text mining software Text mining computer programs are available from many commercial and open source companies and sources. Angoss – Angoss Text Analytics provides entity…
- Information extraction Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents…
- Text mining Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer…
- Business intelligence Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information…
- Biomedical text mining Biomedical text mining (including biomedical natural language processing or BioNLP) refers to the methods and study of how text mining may be applied to…
- Online analytical processing In computing, online analytical processing (OLAP) (/ˈoʊlæp/), is an approach to quickly answer multi-dimensional analytical (MDA) queries. The term OLAP…
- NetOwl NetOwl is a suite of multilingual text and identity analytics products that analyze big data in the form of text data – reports, web, social media, etc…
- Knowledge extraction Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting…