数据挖掘数据挖掘(英语: Data mining ),又译为资料探勘、数据采矿。它是数据库知识发现(英语: Knowledge-Discovery in Database
Data Mining (DM) offers a variety of data processing techniques for Business Intelligence purposes. At present time the data mining is being gradually more used and rooted in vertical solutions for business intelligence. Data mining for business Applications like Balanced Scorecard, Fraud Detection, ...
数据挖掘(Data Mining,DM),又称数据库中的知识发现(Knowledge Discover in Database,KDD),是目前人工智能和数据库领域研究的热点问题,所谓数据挖掘是指从数据库的大量数据中揭示出隐含的、先前未知的并有潜在价值的信息的非平凡过程。数据挖... 网页链接
Knowledge Discovery in Database In subject area: Computer Science Knowledge Discovery in Databases (KDD) is defined as the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data, often interchangeably referred to as data mining. AI generated...
M. Owrang, " data base mining discovering new knowledge and competitive advantage," Information systems management, vol. 12, no. 4, pp. 26-31, 1995.F.H. Grupe and M. M. Owrang, "Data base mining discovering new knowledge and competitive advantage", Information Systems Management, vol. ...
Given the amount of unstructured data created daily, many companies are struggling to make use of or find information within their files. Knowledge mining through a search index makes it easy for end customers and employees to locate what they are looking for faster. ...
Enable knowledge extraction wherever your data lives Gain faster insights from diverse content types Customize for your industry Azure Kubernetes Service (AKS) Ingest your content from Azure sources like Azure Blob storage, Azure Table storage, Azure SQL Database, and Azure Cosmos DB, as well ...
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2) Knowledge Discovery in Database/Data Mining 知识发现/数据挖掘 3) data mining and knowledge discovery 数据挖掘和知识发现 1. Research on Privacy Preserving Data Mining and Knowledge Discovery; 数据挖掘和知识发现是从大规模数据集中发现潜在的,有价值的知识。
EP0797161March, 1997Computer system and computerimplemented process for applying database segment definitions to a database EP11115152001-06-27Analytical information system Other References: Thuraisingham et al., “Understanding data mining and applying it to command, control, communication and intelligence...