KDD
2024年8月25日 · It is our pleasure to welcome you to the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining---KDD'2024 in Barcelona, Catalonia. This year's conference continues its tradition of being the premier forum for presentation of research results and experience reports on knowledge discovery, data science, and machine learning.
KDD：数据挖掘 - 简书
2019年10月28日 · kdd：数据挖掘. kdd 是一个以知识使用者为中心，人机交互的探索过程，包括了在指定的数据库中用数据挖掘算法提取模型，以及围绕数据挖掘所进行的预处理和结果表达等一系列的步骤。 数据挖掘作为kdd的一个步骤。
KDD Process in Databases - GeeksforGeeks
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.
科研笔记 KDD 2025 - CSDN博客
2024年12月22日 · 1. Kaggle KDD挑战赛：Kaggle是一个全球性的数据科学竞赛平台，KDD CUP是该平台举办的一系列数据挖掘竞赛。这些竞赛通常以解决实际问题为主题，吸引全球的数据科学家和机器学习专家参与。KDD CUP 2013的第二赛道是一...
From Data Mining to Knowledge Discovery in Databases
1996年9月1日 · The data-mining component of KDD currently relies heavily on known techniques from machine learning, pattern recognition, and statistics to find patterns from data in the data-mining step of the KDD process.
【数据挖掘】数据挖掘简介 ( 数据挖掘引入 | KDD 流程 | 数据源要求 | 技术特点 )_数据挖掘和kdd …
2020年4月8日 · 知识发现（KDD：Knowledge Discovery in Databases）是从数据集中识别出有效的、新颖的、潜在有用的，以及最终可理解的模式的非平凡过程。知识发现将信息变为知识，从数据矿山中找到蕴藏的知识金块，将为知识创新和知识经济的发展作出贡献。
SIGKDD
SIGKDD promotes basic research and development in KDD, adoption of "standards" in the market in terms of terminology, evaluation, methodology and interdisciplinary education among KDD researchers, practitioners, and users.
Data Mining and Knowledge Discovery Handbook | SpringerLink
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository.
The KDD process for extracting useful knowledge from volumes …
1996年11月1日 · KDD (Knowledge Discovery in Databases) process has become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recently proposed by us, this paper concentrates on the issue of KDD process ...
Introduction to Knowledge Discovery and Data Mining
2010年1月1日 · Knowledge Discovery in Databases (KDD) is an automatic, exploratory analysis and modeling of large data repositories. KDD is the organized process of identifying valid, novel, useful, and understandable patterns from large and complex data sets.