2025年1月28日 · KDD (Knowledge Discovery in Databases) is the process of discovering valid, novel, and useful patterns in large datasets. It involves multiple steps like data selection, cleaning, transformation, mining, evaluation, and interpretation to extract valuable insights that can guide decision-making.

2023年9月24日 · Knowledge Discovery in Databases, commonly referred to as KDD, is a systematic approach to uncovering patterns, relationships, and actionable insights from vast datasets. It involves multiple...

The term knowledge discovery in databases, or KDD for short, refers to the broad process of finding knowledge and data, and emphasizes the high level application of particular data minded methods.

2023年8月18日 · Knowledge Discovery in Databases (KDD) primarily serves the purpose of identifying valid, novel, potent and ultimately comprehensible patterns from large and complex sets of data. This technology term is an interdisciplinary area focusing upon methodologies for extracting useful knowledge from data.

Knowledge Discovery in Databases (KDD) and Data Mining (DM) is a research field in which methodologies are developed for extracting knowledge from data. In the past, the focus was on developing fully automated tools and techniques that extract new knowledge from data.

2023年9月21日 · Knowledge Discovery in Databases (KDD) is a systematic process that seeks to identify valid, novel, potentially useful, and ultimately understandable patterns from large amounts of data.

Knowledge discovery in databases (KDD) is the field that is evolving to provide automated analysis solutions. Knowledge discovery is defined as ``the non-trivial extraction of implicit, unknown, and potentially useful information from data'' [ 6 ].

framework for knowledge discovery and examine problems in dealing with large , noisy databases , the use of domain knowledge , the role of the user in the discovery process, discovery methods , and the form and uses of discovered knowledge . We also discuss application issues, including the variety of existing applications and propriety of ...

Data Mining and Knowledge Discovery in Databases (KDD) promise to play an important role in the way people interact with databases, especially decision support databases where analysis and exploration operations are essential. Inductive logic programming can potentially play some key roles in KDD.

1991年12月1日 · Knowledge Discovery in Databases brings together current research on the exciting problem of discovering useful and interesting knowledge in databases, which spans many different approaches to discovery, including inductive learning, bayesian statistics, semantic query optimization, knowledge acquisition for expert systems, information theory ...