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In 2007 the technique was being used in a few data warehouses and one online transaction processing (OLTP) system, and it was presented internationally by Lars Rönnbäck at the 2007 Transforming Data with Intelligence (TDWI) conference in Amsterdam. [4] This stirred enough interest for the technique to warrant a more formal description.
The United States Intelligence Community A-Space, or Analytic Space, is a project started in 2007 from the Office of the Director of National Intelligence's (ODNI) Office of Analytic Transformation and Technology to develop a common collaborative workspace for all analysts from the USIC. It is accessible from common workstations and provides ...
On the other hand, it enables non-experts, who are not familiar with data science, to quickly extract value from their data with a little effort, time, and cost. [22] getML community is an open source tool for automated feature engineering on time series and relational data. [23] [24] It is implemented in C/C++ with a Python interface. [24]
The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, and accounts for access, performance and storage details. Data modeling defines not just data elements, but also their structures and the relationships between them. [3]
Interactive data transformation (IDT) [13] is an emerging capability that allows business analysts and business users the ability to directly interact with large datasets through a visual interface, [9] understand the characteristics of the data (via automated data profiling or visualization), and change or correct the data through simple ...
Professor Williams is an Artificial Intelligence researcher with transdisciplinary expertise in Cognitive Science, Disruptive Technologies, Digital Transformation, Business and Law. She is listed among Robohub's "Top 25 Women in Robotics", [ 4 ] [ 5 ] and celebrated on the First International Day of Women and Girls in Science.