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A novel benchmark gas meter image dataset None 28,883 Image, Label Classification 2021 [176] [177] A. Ebadi, P. Paul, S. Auer, & S. Tremblay The SUPATLANTIQUE dataset Images of scanned official and Wikipedia documents None 4908 TIFF/pdf Source device identification, forgery detection, Classification,.. 2020 [178] C. Ben Rabah et al.
Given the variety of data sources (e.g. databases, business applications) that provide data and formats that data can arrive in, data preparation can be quite involved and complex. There are many tools and technologies [5] that are used for data preparation. The cost of cleaning the data should always be balanced against the value of the ...
Semantic data mining is a subset of data mining that specifically seeks to incorporate domain knowledge, such as formal semantics, into the data mining process.Domain knowledge is the knowledge of the environment the data was processed in. Domain knowledge can have a positive influence on many aspects of data mining, such as filtering out redundant or inconsistent data during the preprocessing ...
PDF: Portable Document Format Adobe Systems.pdf, .epdf application/pdf PEF: PENTAX RAW PENTAX TIFF .pef PGF: Progressive Graphics File xeraina GmbH .pgf Photographic images, eventual replacement for JPEG. Yes PGM: Portable Graymap File Format ASCII.pgm image/x-portable-graymap Yes PGML: Precision Graphics Markup Language Adobe Systems, IBM,
Document-oriented databases have been developed for storing, retrieving, and managing document-oriented information, also known as semi-structured data. Extensible Markup Language is a World Wide Web Consortium Recommendation setting forth rules for encoding documents in a format that is both human-readable and machine
In computing, data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental aspect of most data integration [ 1 ] and data management tasks such as data wrangling , data warehousing , data integration and application integration.
The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely used datasets for machine learning research. [1] [2] The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes. [3]
Covertype Dataset Data for predicting forest cover type strictly from cartographic variables. Many geographical features given. 581,012 Text Classification 1998 [310] [311] J. Blackard et al. Abscisic Acid Signaling Network Dataset Data for a plant signaling network. Goal is to determine set of rules that governs the network. None. 300 Text