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SEMMA is an acronym that stands for Sample, Explore, Modify, Model, and Assess. It is a list of sequential steps developed by SAS Institute, one of the largest producers of statistics and business intelligence software. It guides the implementation of data mining applications. [1]
However, SAS Institute clearly states that SEMMA is not a data mining methodology, but rather a "logical organization of the functional toolset of SAS Enterprise Miner." A review and critique of data mining process models in 2009 called the CRISP-DM the "de facto standard for developing data mining and knowledge discovery projects."
Business method patents are a class of patents which disclose and claim new methods of doing business. This includes new types of e-commerce, insurance, banking and tax compliance etc. Business method patents are a relatively new species of patent and there have been several reviews investigating the appropriateness of patenting business methods.
A business reference model is a means to describe the business operations of an organization, independent of the organizational structure that perform them. Other types of business reference model can also depict the relationship between the business processes, business functions, and the business area’s business reference model. These ...
The essence of an organization is that it consists of people with authority and responsibility to act and negotiate. The modeling of business processes and information systems is a rational activity, which leads to uniformity. Models should be understandable for all concerned. Information should 'fit' with their users.
China dominates the global race in generative artificial intelligence patents, filing more than 38,000 patents from 2014 to 2023, a U.N. report showed.
SEMATECH (from Semiconductor Manufacturing Technology) was a not-for-profit consortium that performed research and development to advance chip manufacturing. SEMATECH involved collaboration between various sectors of the R&D community, including chipmakers, equipment and material suppliers, universities, research institutes, and government partners.
A semantic layer maps complex data into familiar business terms such as product, customer, or revenue to offer a unified, consolidated view of data across the organization. By using common business terms, rather than data language, to access, manipulate, and organize information, a semantic layer simplifies the complexity of business data.