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Data extraction information


Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or data storage (data migration). The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another stage in the data workflow.

Usually, the term data extraction is applied when (experimental) data is first imported into a computer from primary sources, like measuring or recording devices. Today's electronic devices will usually present an electrical connector (e.g. USB) through which 'raw data' can be streamed into a personal computer.

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Data extraction

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Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or...

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Data scraping

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developers. Report mining is the extraction of data from human-readable computer reports. Conventional data extraction requires a connection to a working...

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Extraction

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Extraction may refer to: Comedo extraction, a method of acne treatment Dental extraction, the surgical removal of a tooth from the mouth Data extraction...

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Extended Data Services

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Extended Data Services (now XDS, previously EDS), is an American standard classified under Electronic Industries Alliance standard CEA-608-E[1] for the...

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Data preprocessing

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methods used in data preprocessing include cleaning, instance selection, normalization, one-hot encoding, data transformation, feature extraction and feature...

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Information extraction

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implementations Extraction Data extraction Keyword extraction Knowledge extraction Ontology extraction Open information extraction Table extraction Terminology...

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Data mining

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The term "data mining" is a misnomer because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining)...

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Cellebrite UFED

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Forensics Extraction Device) is a product series of the Israeli company Cellebrite, which is used for the extraction and analysis of data from mobile...

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Knowledge extraction

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methodically similar to information extraction (NLP) and ETL (data warehouse), the main criterion is that the extraction result goes beyond the creation of...

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Web scraping

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Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may directly access...

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Geographic information system

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secondary data capture, the extraction of information from existing sources that are not in a GIS form, such as paper maps, through digitization; and data transfer...

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Record to report

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by a controller. The detailed steps involved are: data extraction data collection data validation data transformation (generation of voucher) voucher posting...

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Power Query

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an ETL tool created by Microsoft for data extraction, loading and transformation, and is used to retrieve data from sources, process it, and load them...

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Charming Kitten

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Security. October 2019. Bash, Ajax (August 23, 2022). "New Iranian APT data extraction tool". Threat Analysis Group (TAG). Portals:  Iran  United States  Internet...

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SQL Server Integration Services

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data migration tasks. SSIS is a platform for data integration and workflow applications. It features a data warehousing tool used for data extraction...

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AWK

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domain-specific language designed for text processing and typically used as a data extraction and reporting tool. Like sed and grep, it is a filter, and is a standard...

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Table extraction

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is table extraction from PDFs or scanned images, where there usually is no table-specific machine readable markup. Systems that extract data from tables...

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Systematic review

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inquiry. This can mean that the concept search and method (including data extraction, organisation and analysis) are refined throughout the process, sometimes...

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Data synchronization

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data. There are five different phases involved in the data synchronization process: data extraction from the source (or master, or main) system; data...

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Text mining

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distinguish between three different perspectives of text mining: information extraction, data mining, and a knowledge discovery in databases (KDD) process. Text...

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